27 June, 2025

Baylor recognizes faculty excellence in research with DeBakey Awards !





L-R: Drs. Carolyn Smith, Alastair Thompson, Na Li, Anna Maria Mandalakas, Lilei Zhang, Hongjie Li and Paul Klotman.



Six Baylor College of Medicine faculty were honored this year with the Michael E. DeBakey M.D. Award for Excellence in Research for their outstanding published scientific contributions to clinical and basic science research over a three-year period.

The 2025 recipients of the DeBakey Research Awards were Dr. Alastair Thompson, Dr. Anna Mandalakas, Dr. Anthony Maresso, Dr. Hongjie Li, Dr. Lilei Zhang and Dr. Na Li. They were recognized and presented their work at an award ceremony on June 24.

The awards, named in honor of pioneering heart surgeon Dr. Michael E. DeBakey, the first president of Baylor College of Medicine, and sponsored by the DeBakey Medical Foundation, include a commemorative medallion and funds to support further research.

“This is a special and fun day at Baylor College of Medicine, where we can celebrate the people that are leading science at the institution. We are proud of their work, and we appreciate the support of the DeBakey Medical Foundation that allows this to happen,” said Dr. Paul Klotman, Baylor president, CEO and executive dean.

Dr. Carolyn Smith, senior vice president and dean of research, introduced the outstanding awardees before they were presented their medal, followed by brief presentations by each.



Hongjie Li, Ph.D.
Assistant Professor and CPRIT Scholar
Huffington Center on Aging
Department of Molecular and Human Genetics

Dr. Hongjie Li’s research focuses on developing and applying single cell sequencing and multi-omics approaches to study aging. As a postdoctoral associate, he developed the first single-cell RNA-sequencing technique for Drosophila fruit fly. Building on this platform, Hongjie co-led an international collaboration involving 42 fly labs and 158 investigators and established a single-cell transcriptomic map of the entire adult Drosophila.

This Fly Cell Atlas (FCA) is considered a companion to the fly genome project; it was published in Science in 2022 and has been cited more than 570 times. His lab recently established the Aging Fly Cell Atlas (AFCA) that measures aging rate of 163 different cell types across the whole organism. The conservation of fundamental pathways across species makes the AFCA a powerful tool in understanding the aging process in mammals and identifying key targets for aging promotion and disease intervention. The landmark work was published in Science in 2023.

Recently, his lab applied his single-cell sequencing platform to characterize pro-longevity mechanisms in C. elegans and establish the Cell Atlas of Worm in collaboration with Dr. Meng Wang pu. This work was published in Nature Aging in 2024. Further, his lab established Alzheimer’s disease Fly Cell Atlas (AD-FCA) in collaboration with Dr. Hugo Bellen, where they observed distinct effects of Aβ42 and Tau toxic proteins not only in the brain but in the entire organism. This work is recently published in Neuron in 2025

In addition to leading his own multi-disciplinary lab, Li also collaborates with many colleagues in and outside the College. His work has been recognized with several awards, including the Welch Foundation Award in 2023, the Hevolution/AFAR New Investigator Award and the NIH Director’s New Innovator Award in 2024. Li is a Cancer Prevention and Research Institute of Texas (CPRIT) Scholar and a member of the Dan L Duncan Comprehensive Cancer Center.


Na Li, Ph.D.
Professor
Department of Medicine, Cardiovascular Research

Li is an internationally recognized leader in cardiac electrophysiology. Her research on inflammatory and molecular signaling pathways in the heart has led to better understanding of atrial fibrillation and other cardiac arrhythmias. Her lab’s work is focused on inflammatory signaling pathways and previously uncharacterized molecular regulators in cardiac tissue with a goal of finding therapeutic targets for arrhythmia.

The Li lab has defined inflammasome signaling – particularly the NLRP3 inflammasome – as a key mediator in atrial fibrillation across various risk factors, including obesity, chronic kidney disease and post-surgical inflammation. In her recent work her team highlighted gasdermin D’s role in mitochondrial dysfunction and calcium dysregulation, positioning the cellular pathway NLRP3-GSDMD as a promising therapeutic target.

Li has pioneered research into FKBP5, revealing its essential role in atrial electrophysiology and remodeling, expanding its impact beyond neurological disease. With more than 90 peer-reviewed publications in premier journals such as Circulation, European Heart Journal, Circulation Research, and The Journal of Clinical Investigation, Li has helped


Anna Maria Mandalakas, M.D., Ph.D., FAAP
Professor and Chief, Division of Global Health
Director, Global Tuberculosis Program
Department of Pediatrics
Baylor College of Medicine and Texas Children’s Hospital

For nearly three decades, Dr. Mandalakas’ translational research has focused on identifying ways to prevent, detect, diagnose and treat Mycobacterium tuberculosis infection and tuberculosis (TB) disease in children. TB is typically undetected in young children who are disproportionally affected by the condition and associated death around the world. In the past three years, Dr. Mandalakas ranks among the highest cited researchers in the field of pediatric tuberculosis with landmark clinical and scientific publications. These include over 40 peer-reviewed and PubMed-indexed manuscripts, among them 10 in The Lancet journals in these three years.

In 2024 alone, her innovative and impactful research culminated in three publications within The Lancet series. These studies collectively fill major gaps in research and inform global policy by demonstrating that i) stool-based TB testing captures additional cases of TB disease not detected by sputum-based testing, ii) global TB preventive strategies should embrace a risk-stratified approach that varies according to country-specific TB disease burden, and iii) an innovative model can more accurately predict clinical outcomes than the WHO advanced HIV criteria thereby having the potential to improve the care of children and adolescents with HIV in high-burden settings.

Mandalakas has been awarded more than $12 million from public donors, including the NIH, the CDC and the EU-commission during the past five years to support collaborative field research in six countries of sub-Saharan Africa, the Philippines, Papua New Guinea, and countries of Eastern Europe. The breadth and depth of her research is expansive. This is exemplified in the CDC-sponsored “Closing TB GAPs – for PLHIV: TB Guidance for Adaptable Patient-Centered Service” project for which she serves as PI. Spanning five sub-Saharan countries, this study is not only evaluating the performance of novel TB screening, diagnostic and preventive strategies in more than 6,000 people with HIV, but also evaluating the cost-effectiveness of these strategies and promoting best practices for evidence dissemination and education.

Mandalakas has served in numerous important roles in organizations including the NIH and the U.S. CDC. She has led several systematic reviews that have informed WHO guideline development for childhood tuberculosis. Her publications have informed clinical guidelines and health policy in more than 20 countries to date.

In addition to being an outstanding researcher, Dr. Mandalakas is passionate about mentoring. Several of her mentees are internationally recognized for their research with important publications of their own.


Anthony William Maresso, Ph.D.
Melnick Endowed Chair and Professor
Department of Molecular Virology and Microbiology

Dr. Antony Maresso has significantly advanced the field of virology but also transformed public health with the development of an innovative monitoring program that tracks disease-causing viruses in wastewater. This approach has been adopted by national and state-wide programs to detect outbreaks before they occur.

Maresso has long been conducting basic and applied research on viruses and other microorganisms in wastewater. When the COVID pandemic struck, he saw an opportunity to apply his expertise to revolutionize public health infectious disease tracking. Upon detecting the presence of the COVID virus in Houston wastewater, Maresso realized and later proved that analyzing the viral landscape of human wastewater provides a powerful tool to improve our understanding of outbreaks, transmission and the effects on overall population health, just as one uses meteorological data to better understand and predict weather patterns to anticipate potentially dangerous conditions.

The program has proven to be a valuable source of information for people, health departments, the CDC and the White House teams involved in outbreak preparedness strategies. Furthermore, the program provides key information about emerging viral infections that are not on the clinical radar, such measles, raising awareness of their epidemic and outbreak potential.

Two key research advances were crucial to the development and broad applications of the viral wastewater monitoring program. The first study improved viral detection – instead of detecting one or a few viruses per essay, they used a novel hybrid capture approach that ‘gets’ the entire virome, the collection of all human viruses, in a single test. The second study was one if not the first to report H5N1 bird flu virus in the environment using wastewater analysis. The paper not only showed H5N1 presence in wastewater but revealed how fast the infection spread across Texas, with detection in 10 cities within a month. Using this approach, the team currently records the weekly activity of dozens of concerning viruses and reports the results in the first of its kind sequencing-based health dashboard that is publicly available. https://tephi.texas.gov/early-detection

Houston and BCM are now the epicenter of innovative wastewater science, and Maresso is the lead researcher who put us on the map.

Dr. Maresso earned his bachelor’s degree from the University of Illinois at Chicago, his Ph.D. from Medical College of Wisconsin in Milwaukee, and completed his postdoctoral training at the University of Chicago.



Alastair Thompson, B.Sc. (Hons), MBChB, M.D., FRCS (Ed)
Professor and Chief, Section of Breast Surgery
Michael E. DeBakey Department of Surgery

Dr. Alastair Thompson is a clinician scientist whose research has significantly advanced the field of breast cancer treatment. His work spans multidisciplinary patient care, translational “bench to bedside” studies and innovative clinical trials. He has led numerous roles in international drug, radiation therapy and surgical trials, and he currently chairs several phase II and phase III data monitoring committees and trial steering groups.

Thompson’s research has been instrumental in understanding the molecular mechanisms of breast cancer, leading to the development of targeted interventions. He also has led practice-changing adjuvant clinical trials that have refined oncological treatment for early breast cancer, including through de-escalation or omission of chemotherapy or of surgery. He is clinical principal investigator on a CPRIT grant to Perimeter Medical Imaging, in which he is evaluating a high-resolution imaging device that combines tissue imaging with artificial intelligence algorithms to help surgeons assess if they have achieved successful removal of the entire tumor.

Thompson has published more than 450 peer-reviewed publications overall in high-impact journals and 18 within the past three years. They include research on tumor biology and molecular characterization of breast cancer in Nature Genetics and Nature; research on the comparability of alternative treatment strategies in JAMA and the Journal of Clinical Oncology; and the impacts of surgery and radiotherapy on patient outcomes from breast cancer in The BMJ.

Throughout his career, Thompson has been committed to mentoring and developing future clinical and scientific colleagues. His dedication to training the next generation of clinicians and scientists is evident in his numerous leadership roles and contributions to national and international clinical trials initiatives.

Thompson holds the Olga Keith Weiss Chair of Surgery, and he is Breast Cancer Program lead and deputy director at the Dan L Duncan Comprehensive Cancer Center.





Lilei Zhang, M.D., Ph.D.
Associate Professor
Department of Molecular and Human Genetics, Integrative Physiology and Internal Medicine

Dr. Zhang’s research has focused on circadian regulation in the heart. Her work concentrates on the peripheral circadian network in the heart and bridges the gap between basic research discovery and clinical translation. Additionally, she leads the studies on rare inherited cardiac diseases.

Following her own work on treating heart failure by manipulating circadian clock machinery, Zhang established the essential role of clock regulation in cardiac metabolism and homeostasis.

Zhang also works on developing estrogen-related receptors (ERR) agonists for heart failure treatment. She showed that ERR agonists simultaneously boost fatty acid oxidation and mitochondrial function to enhance cardiac energetics while avoid lipid accumulation and toxicity. Further, ERR agonists provide protection across different stages of heart failure development. This work laid the foundation of developing ERR agonists as a therapy for heart failure treatment.

TANGO2 deficiency disorder (TDD) is an inherited early-lethal disease due to arrhythmia resistant to current standard treatment. Zhang discovered that a simple and benign treatment, folate, can prevent and terminate the lethal arrhythmia in TDD patients. This work has led to immediate changes to the management for TDD patients and changed the course of this otherwise lethal disease.


#ResearchDataExcellence #DataAnalysisAwards #InternationalDataAwards #ResearchDataAwards #DataExcellence #ResearchData #DataAnalysis #DataAwards #GlobalDataExcellence #DataInnovationAwards #DataResearch #ExcellenceInData #DataAwardWinners#DataAnalysisExcellence #ResearchDataInsights #GlobalResearchAwards #DataExcellenceAwards #ExcellenceInResearchData #ResearchDataLeadership #DataResearchExcellence #AwardWinningData #InternationalResearchAwards #DataAnalysisInnovation #ResearchDataAchievement #ExcellenceInDataAnalysis #GlobalDataInsights #ResearchDataSuccess #DataAwards2024

Website: International Research Data Analysis Excellence Awards

Visit Our Website : researchdataanalysis.com
Nomination Link : researchdataanalysis.com/award-nomination
Registration Link : researchdataanalysis.com/award-registration
member link : researchdataanalysis.com/conference-abstract-submission
Awards-Winners : researchdataanalysis.com/awards-winners
Contact us : rdat@researchdataanalysis.com

Get Connected Here:
==================
Facebook : www.facebook.com/profile.php?id=61550609841317
Twitter : twitter.com/Dataanalys57236
Pinterest : in.pinterest.com/dataanalysisconference
Blog : dataanalysisconference.blogspot.com
Instagram : www.instagram.com/eleen_marissa

26 June, 2025

How Data Analytics Powers and Governs Next-Gen Digital Twins !







Key Takeaways


Digital twins use live data streams for real-time monitoring and simulation.


AI integration enhances predictive analytics and system automation.


Data governance ensures accuracy, security, and operational trust.


Enterprises aren’t short on data. They’re drowning in it. IoT sensors, connected devices, and cloud-native apps are generating live data around the clock. While the volume grows, traditional IT systems, built for static dashboards and delayed reporting, are reaching their limits.

This results in bottlenecks in analysis, slow reactions, and blind spots in operations. The requirement today is no longer to simply process data, but to sense and respond to data, while changes happen.

What’s Digital Twins Doing About It?


Digital twins are transforming fixed engineering tools into active operational engines. Fundamentally, digital twins are real-time software copies of physical systems. They consume telemetry from sensors, simulate behaviors, and produce insights from current states, not past averages.

Being run in-memory on server clusters, they eliminate latency dramatically. They don’t monitor data, respond to data, model outcomes, or suggest improvements.


They are perfect for sophisticated environments:


Cities with intelligent traffic management, energy efficiency, and security.


Air travel companies are modeling how one delay cascades through international schedules.


Enterprises monitor data center loads or logistics streams in real-time.

The trend is obvious: digital twins are becoming the central logic layer for real-time decision-making.

Also Read: 10 Best SEO Tricks to Improve Your Google Rankings in 2025

How Do Digital Twins Get an AI Boost?


As digital twins get an AI boost, they unlock predictive and prescriptive insights.

AI models are able to identify patterns and outliers that human operators or rule-based systems may not catch. In cybersecurity, a digital twin could simulate ordinary traffic, while AI identifies common wisps of anomalies pointing to intrusions, before any breach.

In IT operations, AI-powered twins can predict demand, optimize server use, or initiate scaling actions based on pattern identification, not merely thresholds.

AI makes digital twins more than mere observers; they become active guides. They no longer simply report on what is going on. They forecast what will occur and why it’s important.

What About AI Hallucinations? Can Twins Cure That?


AI hallucinations are when generative models generate plausible-sounding but untrue outcomes. This tends to take place when models do not have access to real-time, validated data.

Digital twins remedy that by keeping AI anchored to the world. With retrieval-augmented generation (RAG), they continuously provide AI systems with live, context-rich information. That keeps answers up to date and traceable.

Example: An AI model in a supply chain may recommend diverting inventory. Without current stock or delivery information, it may be incorrect. When a digital twin provides it with live updates, the same model is exact, responsive, and actionable.

This is where digital twins begin to serve a dual purpose: real-time managers of systems and AI engines of truth.

Is AI Transforming How Digital Twins Are Developed?




Building digital twins previously meant tedious dev sprints, manual coding of telemetry streams, system state, APIs, and analytics logic. Today, AI tools can automate most of that.

For instance:

Ingesting ingestion code for multi-cloud telemetry? Auto-generated.


Setting monitoring thresholds on 1000+ endpoints? Suggested and verified by AI.


Testing edge-case scenarios? AI can simulate and score it.

This allows human engineers to concentrate on architecture and integration, while leaving AI to speed up deployment and iteration.

So, What’s the Big Picture Here?


AI and digital twins are creating a new type of stack: one that thinks, anticipates, and reacts in real-time.

Together, they’re not just making data management better, they’re redefining it. From factories and flight routes to cloud systems and smart cities, they’re making enterprises stay alert, robust, and responsive.

The competitive advantage isn’t about having more data anymore; it’s about having the appropriate systems in place to interpret and respond to that data quicker than anyone else.

Final Thoughts: From Insight to Advantage


Companies that are based on legacy analytics are playing catch-up. Companies that deploy digital twins with AI capabilities are creating smart control towers for their businesses.

This convergence, predictive intelligence-powered real-time models, is more than a technological improvement. This is a fundamental change. Digital twins revolutionize the way organizations plan, react, and govern.

In an age where data does not rest, digital twins + AI provide better than dashboards: a real-time grasp of whatever is important.

Also Read: Top 10 Google SEO Certification Courses to Boost Your Skills

FAQs


1. What exactly is a digital twin?

A digital twin is a real-time, virtual model of a physical system or process that ingests live data to simulate, monitor, and optimize performance.

2. How does AI improve digital twins?

AI adds predictive capabilities to digital twins, spotting patterns, detecting anomalies, and recommending actions based on real-time data.

3. Can digital twins prevent AI hallucinations?

Yes. Digital twins supply current, verified data to AI models, reducing the risk of inaccurate or fabricated outputs.

4. Where are digital twins most commonly used?

They’re used in smart cities, manufacturing, logistics, cloud infrastructure, and cybersecurity to monitor and optimize live operations.

5. Is AI helping to build digital twins faster?

Absolutely. AI tools can auto-generate code, streamline API integrations, and validate models, reducing development time significantly.


#ResearchDataExcellence #DataAnalysisAwards #InternationalDataAwards #ResearchDataAwards #DataExcellence #ResearchData #DataAnalysis #DataAwards #GlobalDataExcellence #DataInnovationAwards #DataResearch #ExcellenceInData #DataAwardWinners#DataAnalysisExcellence #ResearchDataInsights #GlobalResearchAwards #DataExcellenceAwards #ExcellenceInResearchData #ResearchDataLeadership #DataResearchExcellence #AwardWinningData #InternationalResearchAwards #DataAnalysisInnovation #ResearchDataAchievement #ExcellenceInDataAnalysis #GlobalDataInsights #ResearchDataSuccess #DataAwards2024

Website: International Research Data Analysis Excellence Awards

Visit Our Website : researchdataanalysis.com
Nomination Link : researchdataanalysis.com/award-nomination
Registration Link : researchdataanalysis.com/award-registration
member link : researchdataanalysis.com/conference-abstract-submission
Awards-Winners : researchdataanalysis.com/awards-winners
Contact us : rdat@researchdataanalysis.com

Get Connected Here:
==================
Facebook : www.facebook.com/profile.php?id=61550609841317
Twitter : twitter.com/Dataanalys57236
Pinterest : in.pinterest.com/dataanalysisconference
Blog : dataanalysisconference.blogspot.com
Instagram : www.instagram.com/eleen_marissa

25 June, 2025

Ruth Hogg, PhD, on what retinal imaging can tell clinicians about the brain and body !

 


WORLD REVENUE LONGITUDINAL DATABASE
Tracking Domestic Revenue Mobilization and Changes in Government Revenue Structures


November 20, 2024
Download Data (Stata)
Download Data (Excel) Download Data (Stata)


The IMF’s World Revenue Longitudinal Database (WoRLD) tracks government revenue trends in 193 countries since the early 1990s. This invaluable resource offers policymakers, researchers, and the public crucial insights into the evolution of both the level and composition of revenues. With its consistent and reliable source—IMF surveillance data—the database enables cross-country comparisons and longitudinal analysis, making it an essential tool for shaping policies that advance the Sustainable Development Goals, climate action, and economic equity.

WoRLD tracks directly 9 key components of tax and non-tax revenues, which together contribute about 82 percent of government revenue globally. Some key insights include:Globally, average government revenue as a share of GDP was about 29.6 percent in 2021, slightly above the mid-1990s.
Average tax revenue as a share of GDP stood at 17.1 percent in 2021, about 1 point higher than the mid-1990s.
In 2021, non-tax revenue accounted for 36 percent of government revenue (39 percent in 1995), with 44 percent of this attributed to revenue from hydrocarbons and mining activities (55 percent in 1995).
The share of taxes on income/profits and consumption/production grew steadily from approximately 72 percent of total tax revenue in 1995, to 83 percent in 2021.

WoRLD will be updated annually to provide insight into recent developments affecting governments’ fiscal position.

For more information, questions, or feedback, please e-mail  WoRLD@imf.org


IMF & CGD Discussion

From 9 AM to 10:30 AM ET


Panelists:Mario Mansour, Division Chief, Fiscal Affairs Department
Imdad Ullah Bosal, Finance Secretary, Government of Pakistan
Sanjeev Gupta, Senior Fellow Emeritus, Center for Global Development
Frankie Mbuyamba, Manager of ATAF Regionalisation, African Tax Administration Forum
Nara Monkam, Associate Professor, Public Economics, University of Pretoria

Moderator:Mark Plant, Chief Operating Officer, CEO of CGD Europe, and Senior Policy Fellow, Center for Global Development


#ResearchDataExcellence #DataAnalysisAwards #InternationalDataAwards #ResearchDataAwards #DataExcellence #ResearchData #DataAnalysis #DataAwards #GlobalDataExcellence #DataInnovationAwards #DataResearch #ExcellenceInData #DataAwardWinners#DataAnalysisExcellence #ResearchDataInsights #GlobalResearchAwards #DataExcellenceAwards #ExcellenceInResearchData #ResearchDataLeadership #DataResearchExcellence #AwardWinningData #InternationalResearchAwards #DataAnalysisInnovation #ResearchDataAchievement #ExcellenceInDataAnalysis #GlobalDataInsights #ResearchDataSuccess #DataAwards2024

Website: International Research Data Analysis Excellence Awards

Visit Our Website : researchdataanalysis.com
Nomination Link : researchdataanalysis.com/award-nomination
Registration Link : researchdataanalysis.com/award-registration
member link : researchdataanalysis.com/conference-abstract-submission
Awards-Winners : researchdataanalysis.com/awards-winners
Contact us : rdat@researchdataanalysis.com

Get Connected Here:
==================
Facebook : www.facebook.com/profile.php?id=61550609841317
Twitter : twitter.com/Dataanalys57236
Pinterest : in.pinterest.com/dataanalysisconference
Blog : dataanalysisconference.blogspot.com
Instagram : www.instagram.com/eleen_marissa

24 June, 2025

The 10 Hottest Data Science And Machine Learning Tools Of 2025 (So Far) !






Meeting The Data Needs Of AI



The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language models that power them.

Where data science and machine learning tools were traditionally targeted toward developing and supporting data analytics and predictive analytics systems, these tools today are increasingly supporting the development of AI agentic systems, according to The 2025 Gartner Magic Quadrant for Data Science and Machine Learning Platforms.

Another major trend, according to the report, is a shift away from point-specific tools towards “full-stack data and AI platforms” that encompass model development and lifecycle management, data science tasks, data pipelines and other chores. What’s more, these platforms are themselves incorporating LLMs and GenAI assistants “to enhance the data science workflow.”


As part of CRN’s 2025 Year So Far series, here’s a look at some of the hottest data science and machine learning tools in use today. Some of the following tools are relatively new to the market while others have been around for a while and recently updated. The list also includes both commercial products and open-source software.



#ResearchDataExcellence #DataAnalysisAwards #InternationalDataAwards #ResearchDataAwards #DataExcellence #ResearchData #DataAnalysis #DataAwards #GlobalDataExcellence #DataInnovationAwards #DataResearch #ExcellenceInData #DataAwardWinners#DataAnalysisExcellence #ResearchDataInsights #GlobalResearchAwards #DataExcellenceAwards #ExcellenceInResearchData #ResearchDataLeadership #DataResearchExcellence #AwardWinningData #InternationalResearchAwards #DataAnalysisInnovation #ResearchDataAchievement #ExcellenceInDataAnalysis #GlobalDataInsights #ResearchDataSuccess #DataAwards2024

Website: International Research Data Analysis Excellence Awards

Visit Our Website : researchdataanalysis.com
Nomination Link : researchdataanalysis.com/award-nomination
Registration Link : researchdataanalysis.com/award-registration
member link : researchdataanalysis.com/conference-abstract-submission
Awards-Winners : researchdataanalysis.com/awards-winners
Contact us : rdat@researchdataanalysis.com

Get Connected Here:
==================
Facebook : www.facebook.com/profile.php?id=61550609841317
Twitter : twitter.com/Dataanalys57236
Pinterest : in.pinterest.com/dataanalysisconference
Blog : dataanalysisconference.blogspot.com
Instagram : www.instagram.com/eleen_marissa

23 June, 2025

Top five ways data is the fuel that powers IT at Microsoft !





We’re empowering Microsoft employees with data-driven innovation including transforming experiences, modernizing functions, and optimizing infrastructure through AI and a robust data strategy.


At Microsoft Digital, our mission is to transform the digital employee experience across devices, applications, and hybrid infrastructure.

But what fuels that transformation?

Data.

Enterprise data, backed by a strong strategy and culture, powers the technologies that drive Microsoft forward.

Let’s explore some of the ways data is the fuel that powers IT at Microsoft.
Modernizing our corporate functions

In the era of AI, data plays a crucial role in our effort to modernize corporate functions like Human Resources, Finance, and Corporate, External, and Legal Affairs (CELA). For instance, employees can use our Employee Self Service (ESS) agent to retrieve information and insights in real time using natural language queries. In the past, these actions were either conducted manually or required an IT support ticket, both of which resulted in a negative user experience. Now, employees can use ESS to complete their tasks more efficiently and with the confidence that the data they’re working with is secure.

Another impact of the powerful combination of data and AI is being realized by HR generalists. The Microsoft HR Business Intelligence team manages an immense number of Power BI dashboards. Instead of manually sifting through vast amounts of information to locate required data, our Microsoft Digital team has developed new capabilities that allow HR generalists to use natural language queries to find the Power BI dashboards they need in real time. These tools use generative AI to optimize the time employees spend searching for information, so they can focus on their strategic deliverables.


“AI is not just about algorithms—it’s about the data that powers them. A well-structured enterprise data strategy ensures that AI can drive automation, insights, and business transformation at scale. At Microsoft Digital, we’re using data to redefine how employees work and innovate,” says Faisal Nasir, a principal architect in Microsoft Digital.

In Microsoft Digital, we’ve defined a data standard for our AI workloads that we refer to as “AI-ready data.” AI-ready data is data that’s available, complete, accurate, and high quality. AI-ready data allows tools like Microsoft Fabric for data management and Microsoft Purview for governance make the most of AI tools and machine learning for the company’s corporate functions. By using data meshdata mesh, a decentralized data architecture approach, data scientists and engineers build data products across organizational siloes, or workspaces, using the One Lake feature of Fabric, illuminating cross-domain insights. By using Purview’s Shortcut feature, engineering teams can more easily request and receive approval for access to the information they need to manage their organization more effectively and efficiently.

In the race to adopt machine learning and AI, organizations often focus on model sophistication while ignoring the foundation: the data. Without clean, labeled, contextualized, and well-governed data, even the most advanced algorithms will falter. AI-ready data isn’t just nice to have—it’s the make-or-break factor in every successful AI initiative. Models trained on poor-quality data will amplify bias, hallucinate patterns, and make dangerously flawed predictions. Meanwhile, organizations that invest in high-quality, AI-ready data gain not just better models, but a long-term competitive edge. They build systems that learn faster, adapt better, and scale smarter. In short, AI-ready data isn’t the backend. It is the strategy.

{Learn how we’re transforming our data governance at Microsoft with Microsoft Purview and Microsoft Fabric.}
Optimizing our employee experience

Microsoft Digital’s user-centric, coherent design philosophy puts the user—an employee or a guest—at the heart of every decision and aligns all our facility’s services—physical and digital—to the needs of people. We employ a data-driven approach to the employee experience, using AI to aid in decision-making, improving how Microsoft employees interact with technology, physical spaces, and other Microsoft resources.Faisal Nasir (left to right) Oana Nica, Damon Gray, Johnson Samuel, Naval Tripathi, and Patrice Pelland, with the help of AI, drive the data strategy for transforming the digital employee experience.

A few examples of how we’re using data and AI to improve the employee experience include:

Commute optimization: AI is being used to predict the best routes and Connector buses for employees, improving their commute experience. Microsoft Digital observes frequency and travel patterns to predict and recommend optimal routes to the desired destination, thereby decreasing the amount of time spent in transit.

Dining solutions: Microsoft Digital is actively working to enhance the dining experience through the integration of AI capabilities. We’re enabling insights based on data related to dining popularity—essentially, where and what do employees like to eat? By using AI and machine learning, we aim to offer a richer Copilot experience to users. For instance, we’re developing features that analyze cafe station popularity over time, and calculate the average fulfillment times for orders at each station. With this data, employees can use Copilot to make informed decisions about where to dine based on real-time insights into station capacity, foot traffic, and average efficiency.

Occupancy predictions: Predicting employee occupancy in on-campus facilities helps to optimize utility usage. By using AI and machine learning to understand footfall patterns, the team can adjust heating and cooling systems to save energy and improve efficiency.

{Learn more about our fresh approach to accessibility powered by inclusive design.}
Managing our network infrastructure

Managing Microsoft’s network infrastructure effectively is crucial for maintaining productivity and collaboration. A data-driven approach can provide the necessary insights and tools to ensure a seamless connectivity experience, efficient diagnostics, performance and cost optimization, and proactive security management.

#ResearchDataExcellence #DataAnalysisAwards #InternationalDataAwards #ResearchDataAwards #DataExcellence #ResearchData #DataAnalysis #DataAwards #GlobalDataExcellence #DataInnovationAwards #DataResearch #ExcellenceInData #DataAwardWinners#DataAnalysisExcellence #ResearchDataInsights #GlobalResearchAwards #DataExcellenceAwards #ExcellenceInResearchData #ResearchDataLeadership #DataResearchExcellence #AwardWinningData #InternationalResearchAwards #DataAnalysisInnovation #ResearchDataAchievement #ExcellenceInDataAnalysis #GlobalDataInsights #ResearchDataSuccess #DataAwards2024

Website: International Research Data Analysis Excellence Awards

Visit Our Website : researchdataanalysis.com
Nomination Link : researchdataanalysis.com/award-nomination
Registration Link : researchdataanalysis.com/award-registration
member link : researchdataanalysis.com/conference-abstract-submission
Awards-Winners : researchdataanalysis.com/awards-winners
Contact us : rdat@researchdataanalysis.com

Get Connected Here:
==================
Facebook : www.facebook.com/profile.php?id=61550609841317
Twitter : twitter.com/Dataanalys57236
Pinterest : in.pinterest.com/dataanalysisconference
Blog : dataanalysisconference.blogspot.com
Instagram : www.instagram.com/eleen_marissa

20 June, 2025

SingleStore supercharges database for AI !






SingleStore has souped up its unified real-time transactional and analytic database for AI, showing off the new features at a “Feeling the Flow” Upsert event.

An upsert in SQL updates an existing row or adds a new one, while the event serves to update SingleStore customers. SingleStoreDB is a performant, distributed, relational, SQL database with operational, analytical, and vector data support, integration with Apache Iceberg, Snowflake, BigQuery, Databricks, and Redshift, and a Flow ingest feature based on acquired BrightFlow data integration technology. SingleStoreDB is also available as a fully managed service called Helios.

Raj Verma

CEO Raj Verma stated the database was “the only one to natively offer single-shot retrieval of all types of data,” claiming that SingleStore has “always been the ultimate foundational layer for AI.” He added: “Now we’re making a quantum leap forward in performance at scale – creating a faster, smoother path to development and enabling organizations to bring their boldest, most innovative ideas to life.”

There are six main update areas. Data integration is strengthened by making it easy to move data to SingleStore from Snowflake, Postgres, SQL Server, Oracle and MySQL, and by enabling customers to use Flow within Helios.


A so-called speed layer has been added to Iceberg to improve the bi-directional integration of it and SingleStore with ”easier and faster data exchange with Iceberg external tables.”

The ability to host Cloud Functions – lambda-style serverless functions that can be used to build data APIs, agents, tools for agents, and inference APIs for embedding models – has been added to SingleStore’s Aura Container Service. This is a serverless compute platform, optimized for AI and machine learning, which is designed to run containerized apps.

A multi-value index for JSON, automatic query re-optimization, cross-workspace-group database branching, and attach boost database performance and increase scalability.

Features such as database branching, point-in-time recovery, and SmartDR are now available for Google Cloud as well as AWS.

Developer facilities have been improved with additions to SingleStore’s AI-powered knowledge base and query-building assistant, SQrL. There is integration with GitHub, Notebooks scheduling and versioning, an updated billing forecasting UI, a multi-tab SQL Editor with autocomplete, easier pipeline monitoring, and sequences.

To learn more, register for and watch the Upsert webinar and read the SingleStore blog. The company aims to hold recurring Upsert events every few months to enable customers to test-drive new features.
International Research Data Analysis Excellence Awards are the Researchers and Research organizations around the world in the motive of Encouraging and Honoring them for their Significant contributions & Achievements for the Advancement in their field of expertise.


#ResearchDataExcellence #DataAnalysisAwards #InternationalDataAwards #ResearchDataAwards #DataExcellence #ResearchData #DataAnalysis #DataAwards #GlobalDataExcellence #DataInnovationAwards #DataResearch #ExcellenceInData #DataAwardWinners#DataAnalysisExcellence #ResearchDataInsights #GlobalResearchAwards #DataExcellenceAwards #ExcellenceInResearchData #ResearchDataLeadership #DataResearchExcellence #AwardWinningData #InternationalResearchAwards #DataAnalysisInnovation #ResearchDataAchievement #ExcellenceInDataAnalysis #GlobalDataInsights #ResearchDataSuccess #DataAwards2024

Website: International Research Data Analysis Excellence Awards

Visit Our Website : researchdataanalysis.com
Nomination Link : researchdataanalysis.com/award-nomination
Registration Link : researchdataanalysis.com/award-registration
member link : researchdataanalysis.com/conference-abstract-submission
Awards-Winners : researchdataanalysis.com/awards-winners
Contact us : rdat@researchdataanalysis.com

Get Connected Here:
==================
Facebook : www.facebook.com/profile.php?id=61550609841317
Twitter : twitter.com/Dataanalys57236
Pinterest : in.pinterest.com/dataanalysisconference
Blog : dataanalysisconference.blogspot.com
Instagram : www.instagram.com/eleen_marissa

19 June, 2025

Marketing Analytics to Drive Business Growth !

 





Introduction

In today’s digital marketing landscape, the inundation of data is both a challenge and an opportunity. To thrive, marketers must discern valuable insights from irrelevant noise. Leveraging advanced marketing analytics ensures that consumer data drives actionable, informed decisions, ultimately fueling business growth.

This Martech Cube article highlights the strategies, tools, and examples of how marketing analytics can be a powerful growth engine for businesses.

Table of Contents

1. Key Advancements in Marketing Analytics
2. Making Analytics Work for Your Goals
3. Marketing Analytics Tools and Tactics
4. B2B Case Study: Salesforce’s Data-Driven Growth
5. Overcoming the Analytics Overload
In the End


1. Key Advancements in Marketing Analytics

Tools such as Google Analytics 4 (GA4), among others, have greatly advanced how data is used. GA4 leverages machine learning in its features as a tool for efficiency and ease of use, where marketers can easily sort through different customer segments to find the top-performing ones.

This adaptability simplifies decision-making, allowing businesses to target their marketing efforts effectively. For example, GA4 insights can identify touchpoints in a customer journey where drop-offs occur, enabling timely optimizations. One real-world example is how Asana, a work management platform, increased conversions by 12% by analyzing and enhancing user engagement points using analytics tools.

In addition, it is important to notice that, due to intersectional data analysis, targeting has become more refined. Marketing strategies can then be made to adapt to age, race, and other factors of customers to create adverts with a close-to-heart appeal.

For instance, ‘My Black is Beautiful’ by Procter & Gamble involved the use of data to develop intimacy with African American women and as a result boosted the first category sales by 21%, the second by 18%, and the third by 15%.

2. Making Analytics Work for Your Goals

The key to unlocking analytics’ potential lies in aligning it with clear business goals and KPIs. For example, first-party data collection is becoming critical in an era of tightened privacy regulations. Shopify reports that businesses leveraging first-party data see a 20% increase in ROI due to its accuracy and relevance.

Therefore, marketers must focus on micro-conversions such as newsletter sign-ups or free trial registrations, as these set the stage for long-term revenue growth. Dropbox, for instance, prioritized tracking micro-conversions like shared file links, which indirectly but powerfully drove customer acquisition.

3. Marketing Analytics Tools and Tactics

Marketing analysis tools and strategies are central to marketing, engaging raw data, and identifying actionable strategies. These tools must then be selected and applied in the most efficient ways possible for each business, all while taking into account their higher-priority objectives.

3.1. Predictive Analytics Platforms

Tools like HubSpot and Tableau analyze historical trends to forecast future performance. These insights can inform campaign timing and budgeting, improving ROI by up to 25% according to recent studies.

3.2. Customer Journey Analytics

Using GA4 or Salesforce’s Marketing Cloud, businesses can map and optimize every touchpoint. A notable example is Sephora, which leverages customer journey data to personalize offers, leading to a 13% rise in online sales.

3.3. AI-Powered Campaign Management

AI tools like Hootsuite Insights help monitor sentiment analysis, enabling real-time adjustments to campaign messaging for greater relevance.

4. B2B Case Study: Salesforce’s Data-Driven Growth

A leader in CRM globally, Salesforce gives insight into how marketing analytics can reshape B2B success. Using Einstein Analytics, a tool in AI, Salesforce realized that its most rapidly expanding clientele were mid-size techno-businesses.

This insight allowed them to create targeted campaigns, such as personalized webinars and product demos, designed explicitly for this audience. As a result, 35% year-over-year growth in this segment and an overall increase in ROI of 20%.

The lesson here is clear: analytics doesn’t just measure; it steers your business strategy.

5. Overcoming the Analytics Overload

Pie charts, dashboards, and reports can be overwhelming. Many marketers fall into the trap of measuring everything, which often leads to analysis paralysis. Instead, adopt a streamlined approach:Focus on metrics that align with your goals.
Consolidate data from multiple sources for a holistic view.
Use predictive analytics to anticipate trends and make proactive decisions.

A 2024 Deloitte survey emphasized that companies using predictive analytics achieved 8-10% higher profitability compared to peers who relied on descriptive analytics. For example, predictive models can forecast customer churn rates, enabling businesses to implement retention strategies before it’s too late.

In the End

While pie charts and dashboards may seem daunting, adopting a holistic approach to data interpretation is essential. Marketing analytics isn’t about the tool but about asking the right questions. What are your goals? What steps will lead to them? A results-oriented mindset transforms data into actionable strategies.

For example, when customizing performance reports, one is assured of objectives’ alignment, as was the case with Nike, which increased its digital sales by 30% after rebalancing its analytics approach.

Marketing analytics is a blend of science and creativity. It doesn’t just illuminate the path to better marketing—it creates it.
#ResearchDataExcellence #DataAnalysisAwards #InternationalDataAwards #ResearchDataAwards #DataExcellence #ResearchData #DataAnalysis #DataAwards #GlobalDataExcellence #DataInnovationAwards #DataResearch #ExcellenceInData #DataAwardWinners#DataAnalysisExcellence #ResearchDataInsights #GlobalResearchAwards #DataExcellenceAwards #ExcellenceInResearchData #ResearchDataLeadership #DataResearchExcellence #AwardWinningData #InternationalResearchAwards #DataAnalysisInnovation #ResearchDataAchievement #ExcellenceInDataAnalysis #GlobalDataInsights #ResearchDataSuccess #DataAwards2024

Website: International Research Data Analysis Excellence Awards

Visit Our Website : researchdataanalysis.com
Nomination Link : researchdataanalysis.com/award-nomination
Registration Link : researchdataanalysis.com/award-registration
member link : researchdataanalysis.com/conference-abstract-submission
Awards-Winners : researchdataanalysis.com/awards-winners
Contact us : rdat@researchdataanalysis.com

Get Connected Here:
==================
Facebook : www.facebook.com/profile.php?id=61550609841317
Twitter : twitter.com/Dataanalys57236
Pinterest : in.pinterest.com/dataanalysisconference
Blog : dataanalysisconference.blogspot.com
Instagram : www.instagram.com/eleen_marissa

18 June, 2025

Analytical Skills Necessary for a Successful Career in Data Science !






As data science expands and offers many lucrative career opportunities, it has become more competitive. This surge in competition is fueled by a growing number of skilled professionals seeking stable, long-term careers in the industry. In response, aspiring data scientists must set themselves apart. This involves completing the advanced training that top employers expect and mastering the subtler qualities that define a successful data scientist, such as analytical thinking.

Given this competitive landscape, a key question emerges: What are the essential analytical skills for a data scientist, and why are they so critical for success in this field? Let's delve into this subject to better understand the core skills underpinning data science professionals' effectiveness and impact.
What Are Analytical Skills?

Analytical skills are crucial for problem-solving and data interpretation across various industries. They enable professionals to make informed decisions and drive strategic initiatives. These skills encompass a broad range of abilities that involve gathering, organizing, analyzing, and presenting data.
Core ComponentsData analysis is fundamental to analytical skills. It involves working with data to find trends, patterns, and correlations. This requires knowledge of statistical methods and data analysis tools.
Critical thinking involves logical thinking and reasoning about information to make informed judgments and decisions. This includes evaluating the validity and reliability of data sources and methodologies.
Research skills encompass gathering data from various sources, evaluating its relevance, and using it effectively. This is crucial for building robust analyses and supporting a thorough understanding of issues.
Attention to detail is essential for ensuring the accuracy of analyses. Data collection, calculation, or interpretation mistakes can lead to incorrect conclusions, making meticulous attention to detail vital.
Quantitative reasoning is handling numerical data, performing calculations, and understanding quantitative methods. It’s fundamental in fields that rely heavily on numbers, such as finance and engineering.
Technical proficiency involves using technology to analyze data, including proficiency in programming languages like Python or R and tools like SQL databases, Excel, and advanced data visualization software.
Strategic thinking combines analytical skills with business insight to plan and execute strategies that align with organizational goals. This is critical for roles that influence the future direction of a company, such as managerial positions.
Why Are Analytical Skills Important?Problem Solving: Analytical skills are key to identifying issues, understanding their root causes, and developing effective solutions. They enable professionals to dissect complex situations and derive actionable insights.
Data-Driven Decision Making: In today’s data-rich environment, the ability to analyze and interpret data is indispensable for making informed decisions based on solid evidence rather than intuition alone.
Efficiency Improvement: By understanding and optimizing processes through data analysis, professionals can enhance efficiency, reduce costs, and improve overall performance in business operations.
Innovation and Development: Analytical skills foster innovation by allowing professionals to evaluate existing practices critically and propose new and improved methods or products.
Communication and Presentation: Analyzing data is just one part of the equation; equally important is communicating those findings clearly and effectively to others, especially non-experts.

Become a Data Science & Business Analytics Professional28%Annual Job Growth By 2026
11.5 MExpected New Jobs For Data Science By 2026

Data ScientistIndustry-recognized Data Scientist Master’s certificate from Simplilearn
Dedicated live sessions by faculty of industry experts
11 months
View Program

Professional Certificate in Data Science and Generative AIProgram completion certificate from Purdue University Online and Simplilearn
Access to Purdue’s alumni association membership on program completion
6 months
View Program

Here's what learners are saying regarding our programs:

A.Anthony Davis

Simplilearn United States has one of the best programs available online to earn real-world skills that are in demand worldwide. I just completed the Machine Learning Advanced course, and the LMS was excellent.

Magdalena Szarafin
Manager Group Accounting & Data Analytics, Chemicals

My decision to upskill myself in data science from Simplilearn was a great choice. After completing my course, I was assigned many new projects to work on in my desired field of Data Analytics.
Not sure what you’re looking for?View all Related Programs
Top 12 Analytical Skills
1. Statistical Analysis

Statistical analysis involves collecting, reviewing, and summarizing data to draw conclusions or inform decisions. In data science, this includes using measures of central tendency and dispersion and techniques like regression analysis, hypothesis testing, and variance analysis to understand trends, relationships, and patterns. These skills are critical for interpreting data correctly and ensuring that data-driven decisions are valid and reliable.
2. Data Visualization

Data visualization is translating information into a visual context, such as a chart or map, to make data easier to understand and communicate. Effective visualizations help uncover patterns, correlations, and trends in data. Tools like Tableau, Power BI, and Python libraries (matplotlib, seaborn) are commonly used to create dynamic visualizations. Good data visualization requires understanding which chart types best represent different types of data and how to tailor visualizations to the audience’s needs.
3. Machine Learning

Machine Learning (ML) in data science involves developing algorithms that allow computers to learn from and make data-based decisions. ML skills include supervised learning (predicting outcomes), unsupervised learning (identifying patterns), and reinforcement learning (learning by trial and error). Data scientists need to understand different models (like decision trees, neural networks, and SVMs), how to train them with data, and how to evaluate their performance.
4. Data Wrangling

Data wrangling, or munging, is cleaning and transforming raw data into a more suitable format for analysis. This includes handling missing values, incorrect data types, and merging data from different sources. Effective data wrangling minimizes errors and biases in the analysis, making it a critical step in the data science process.
5. Programming

Programming is fundamental in data science for manipulating data and performing analyses. Python and R are the most popular languages due to their powerful libraries and frameworks for data analysis (like Pandas, NumPy, and dplyr). SQL is also essential for database management and data retrieval. Proficiency in these languages allows data scientists to process large datasets and implement algorithms efficiently.
6. Predictive Modeling

Predictive modeling involves using statistical models to predict an outcome based on historical data. It's widely used in finance, healthcare, and marketing to forecast trends and behaviors. Data scientists build models using techniques such as regression, clustering, and time series analysis, and they must be skilled in validating models using methods like cross-validation and AUC-ROC curves.
7. Quantitative Reasoning

Quantitative reasoning involves using mathematical skills to solve problems. This includes modeling real-world scenarios with mathematical functions, solving equations, and using statistical methods to analyze data. In data science, quantitative reasoning is essential for building and interpreting mathematical models foundational to algorithms and analytics.
8. Data Intuition

Data intuition means having an instinctive understanding of what the data is suggesting without needing deep analysis. This skill helps in hypothesizing potential reasons behind data trends and anomalies. Data scientists with strong intuition can often accelerate the discovery of insights and improve the relevance of their analytical models.
9. Algorithm Design

Algorithm design involves creating step-by-step instructions to solve problems. In data science, this means developing efficient and effective algorithms for analyzing large datasets. Skills in computer science fundamentals, complexity analysis, and data structures are crucial for designing and optimizing algorithms suitable for data tasks.
10. Database Management

Database management for data scientists involves efficiently organizing, storing, and retrieving data. Knowledge of database systems like MySQL, PostgreSQL, and MongoDB, as well as expertise in writing optimized SQL queries, is essential. This skill ensures data is accessible, secure, and structured to support effective analysis.
11. Big Data Technologies

Familiarity with big data technologies like Apache Hadoop, Spark, and Cassandra is essential for handling large volumes of data that cannot be processed using traditional database methods. These technologies allow data scientists to distribute data processing tasks across multiple servers, facilitating faster analysis and insights on large datasets.
12. Decision Making

Decision making in data science involves using data-driven insights to make strategic decisions. This requires analytical skills and the ability to consider business contexts and potential impacts. Effective decision-makers blend technical knowledge with business acumen to align data insights with organizational goals.
How Analytical Skills Impact Your Data Science Career?

Analytical skills are fundamentally transformative for a data science career, impacting virtually every facet of the role. Here’s a look at how these skills shape a data scientist's work, contribute to their success, and influence the broader business environment:Enhancing Problem-Solving Capabilities
Driving Data-Driven Decisions
Improving Accuracy and Quality of Insights
Facilitating Efficient Data Management
Enhancing Communication with Stakeholders
Fostering Innovation and Strategic Thinking




#ResearchDataExcellence #DataAnalysisAwards #InternationalDataAwards #ResearchDataAwards #DataExcellence #ResearchData #DataAnalysis #DataAwards #GlobalDataExcellence #DataInnovationAwards #DataResearch #ExcellenceInData #DataAwardWinners#DataAnalysisExcellence #ResearchDataInsights #GlobalResearchAwards #DataExcellenceAwards #ExcellenceInResearchData #ResearchDataLeadership #DataResearchExcellence #AwardWinningData #InternationalResearchAwards #DataAnalysisInnovation #ResearchDataAchievement #ExcellenceInDataAnalysis #GlobalDataInsights #ResearchDataSuccess #DataAwards2024

Website: International Research Data Analysis Excellence Awards

Visit Our Website : researchdataanalysis.com
Nomination Link : researchdataanalysis.com/award-nomination
Registration Link : researchdataanalysis.com/award-registration
member link : researchdataanalysis.com/conference-abstract-submission
Awards-Winners : researchdataanalysis.com/awards-winners
Contact us : rdat@researchdataanalysis.com

Get Connected Here:
==================
Facebook : www.facebook.com/profile.php?id=61550609841317
Twitter : twitter.com/Dataanalys57236
Pinterest : in.pinterest.com/dataanalysisconference
Blog : dataanalysisconference.blogspot.com
Instagram : www.instagram.com/eleen_marissa

17 June, 2025

Winners Announced for Data Centre World Awards 2025 !







The Data Centre World Awards 2025 celebrated innovation, sustainability, and excellence in the data centre industry at a prestigious awards ceremony held at Data Centre World, part of Tech Show London at Excel London (12-13 March 2025).

This year’s edition featured three new categories, reflecting the evolving nature of the industry: the AI Excellence Award, the Technology Project of the Year Award, and the Security of Tech Award. These new categories shine a spotlight on the vital role data centres play in powering the latest tech breakthroughs.

Honouring groundbreaking projects, cutting-edge technologies, and industry leaders, the DCW Awards serve as a benchmark for excellence, recognising achievements in energy efficiency, security, AI integration, and operational resilience.

The competition was fierce, with a remarkable selection of shortlisted nominees across multiple categories. After a rigorous judging process, this year’s winners were announced in front of leading industry experts, innovators, and executives.
Data Centre World Awards 2025 – Winners & Finalists
Special Contribution to Improving Energy Efficiency

Shortlist:EkkoSense
Vertiv (Dynamic Grid Support)
Vertiv (CoolLoop Trim Cooler)
👑 WINNER: EkkoSense

EkkoSense, a leader in AI-powered data centre optimisation software, entered this category for its partnership with CBRE. Using EkkoSoft Critical to save energy, the partnership has unlocked annual CO2 emissions reduction of almost 5,000 tonnes CO2=eq. for companies such as colo Telehouse

Judges’ Comments: “I believe the monitoring system enables DC operators to ensure optimum energy efficiency and stay one step ahead of the game.”
Most Successfully Delivered Data Centre

Shortlist:Vantage Data Centers
Technimove
Vertiv (University of Pisa)
👑 WINNER: Vantage Data Centers

Vantage’s BER12 hyperscale facility in Berlin was delivered ahead of schedule and within budget. The project took just 23 months to complete from start to finish, inclusive of land surveying, groundworks, construction, M&E installation and data modules build-out. There were zero lost-time incidents over 900,000 hours – a testament to the EHS regime.

Judges’ Comments: “This is a great project building on successful processes, and taking the model a step further for continued success.”

Green Data Centre of the Year

Shortlist:Atos
nLighten
OVHcloud
👑 WINNER: Atos

Atos is a global leader in digital transformation with 82,000 employees worldwide. They manage 27 data centres worldwide. Over 12 months they managed a 15% decrease in global energy consumption. This has been achieved through the integration of design and operational practices to prioritise emissions reduction and sustainability.

Judges’ Comments: “Good initiatives have been defined, and there is a comprehensive range of initiatives applied to achieve significant improvement to the range of KPIs. A comprehensive approach to Net Zero that incorporates energy efficiency, heat reuse, supply of renewables with a good eye on tackling the biodiversity crisis.”
Best Data Centre Operator

Shortlist:CBRE
Vantage Data Centers
Scala Data Centers
👑 WINNER: CBRE

CBRE is delighted to be shortlisted for ‘Best Data Centre Operator’. Our submission is driven by our commitment to advancing the industry and our exceptional track record of performance. We provide engineering, FM, and IT services to more than 200 data centre providers and 700+ data centres, surpassing industry benchmarks such as 5×9’s operating standards.

Judges Comments: “Detailed plans for training and staff development, experience, and diversity are included in their plan. Their proven results, client satisfaction, and industry-leading practices solidify their position as a data centre operations leader.”
Environmental Product of the Year

Shortlist:Vertiv – CoolLoop Trim Cooler
Leil Storage
Centiel
👑 WINNER: Leil Storage

Leil Storage delivers sustainable, high-density storage solutions with its Infinite Cold Engine (ICE) and HM-SMR HDD technology. By optimising power management, it reduces active drives, cutting emissions by 43% while maintaining fast data access. Designed for data-intensive organisations, Leil Storage lowers energy costs and extends hardware lifespan without infrastructure disruption.

Judges’ Comments: “They have cracked the code on efficiency. By slashing energy use and extending drive lifespans, they’ve shown how smart design can make sustainability practical and profitable for data centres of all sizes.”
Special Contribution to Improving Resilience Through Innovation

Shortlist: Buckingham Magnetics Ltd
VATTANI LTD (Check to Win)
World Humanitarian Support Foundation
👑 WINNER: World Humanitarian Support Foundation

We entered this category to highlight our transformative contribution to resilience through innovation. By developing groundbreaking, sustainable technologies, we revolutionise communities. Our commitment to innovation strengthens local resilience, delivers lasting solutions, and empowers communities. We are shaping a sustainable future, addressing global challenges with effectiveness and lasting impact.

Judges’ Comments: “World Humanitarian Support Foundation thought of resilience in a different way: the human factor. If we don’t have the skilled people of the future then resilience will suffer. This organisation also offer a a focused-based training programme, extra resources for the DC community.”
The Best Talent Developer

Shortlist: BCS Data Centres Ltd
Colt Data Centre Services
Cundall
👑 WINNER: Colt Data Centre Services

DCS have launched an AI-driven digital learning platform, empowering employees to build skills through a tailored 5-level proficiency scale. Offering personalised content, seamless integration with top learning platforms and a strategic focus on skills-based development and hiring, this investment reinforces our commitment to career development, diversity, equity and inclusion and long-term employee growth.

Judges’ Comments: “Really well thought out retention programme. The framework integrates talent acquisition, onboarding, retention, and development with a clear focus on inclusivity, professional growth, and cultural alignment.”
Innovation Product of the Year

Shortlist: ECL
Finchetto
XYZ Reality
👑 WINNER: Finchetto

We’re on a mission to significantly reduce data centre energy use and accelerate cluster performance with the world’s first fully optical passive network switch. Super low power. Ultra-low latency. Lightspeed packet switching. Massive throughput. Finchetto makes light work of AI.

Judges’ Comments: “Very fast and reduces operational heat and therefore DC energy – no images. Challenge 10/10 directly addresses the challenge of waste reduction by significantly lowering energy consumption and reducing cooling requirements in data centres. Action/Initiative: 10/10”
Best Reuse or Recycling of Products, Energy, or Data Centre Infrastructure

Shortlist: MiCiM
OVHcloud
Redcentric plc
👑 WINNER: Redcentric plc

Redcentric’s seven data centres were brought together through acquisitions in 2022, each with varied infrastructure. Our focus has been on revitalising these sites, reusing and optimising legacy systems while making strategic upgrades to improve efficiency and sustainability. This award captures the spirit of our investment and commitment to operational excellence in our data centres.

Judges’ Comments: “I like this entry which enables water reuse and should be replicable.”
Security Tech Award

Shortlist: Pure DC
Scintacor
普瑞特帝航(苏州)护栏科技有限公司 / 王培
👑 WINNER: Pure DC

Judges’ Comments: “This entry offered comprehensive physical data cyber controls in a managed and structured way, controlling all elements of access to the DC and its contents.”
Technology Product of the Year

Shortlist: AdaniConneX
bp Castrol
Technimove
👑 WINNER: AdaniConneX

Judges’ Comments: “This Data Centre Management Training embracing comprehensive control and records.”
AI Excellence Award

Shortlist: AdaniConneX
RiT Tech
Vertiv 360AI
👑 WINNER: RiT Tech

Judges’ Comments: “This was a focused submission of the system to enhance the DCIM requirements of a Data Centre.”
Looking Ahead to 2026

As the industry continues to evolve, the Data Centre World Awards 2026 will be seeking the next wave of pioneering innovations and transformative solutions.

Want to be part of the next generation of data centre excellence? Nominations for the 2026 awards will open later this year – stay tuned for updates!



#ResearchDataExcellence #DataAnalysisAwards #InternationalDataAwards #ResearchDataAwards #DataExcellence #ResearchData #DataAnalysis #DataAwards #GlobalDataExcellence #DataInnovationAwards #DataResearch #ExcellenceInData #DataAwardWinners#DataAnalysisExcellence #ResearchDataInsights #GlobalResearchAwards #DataExcellenceAwards #ExcellenceInResearchData #ResearchDataLeadership #DataResearchExcellence #AwardWinningData #InternationalResearchAwards #DataAnalysisInnovation #ResearchDataAchievement #ExcellenceInDataAnalysis #GlobalDataInsights #ResearchDataSuccess #DataAwards2024

Website: International Research Data Analysis Excellence Awards

Visit Our Website : researchdataanalysis.com
Nomination Link : researchdataanalysis.com/award-nomination
Registration Link : researchdataanalysis.com/award-registration
member link : researchdataanalysis.com/conference-abstract-submission
Awards-Winners : researchdataanalysis.com/awards-winners
Contact us : rdat@researchdataanalysis.com

Get Connected Here:
==================
Facebook : www.facebook.com/profile.php?id=61550609841317
Twitter : twitter.com/Dataanalys57236
Pinterest : in.pinterest.com/dataanalysisconference
Blog : dataanalysisconference.blogspot.com
Instagram : www.instagram.com/eleen_marissa

16 June, 2025

4 data wrangling tasks in R for advanced beginners !





Credit: Thinkstock



With great power comes not only great responsibility, but often great complexity — and that sure can be the case with R. The open-source R Project for Statistical Computing, a programming language and environment, offers immense capabilities to investigate, manipulate and analyze data. But because of its sometimes complicated syntax, beginners may find it challenging to improve their skills after learning some basics.

If you’re not even at the stage where you feel comfortable doing rudimentary tasks in R, we recommend you head right over to Computerworld’s Beginner’s Guide to R. But if you’ve got some basics down and want to take another step in your R skills development — or just want to see how to do one of these four tasks in R — please read on.
Getting your data around RAdding a column to an existing data frameSyntax 1: By equation
Syntax 2: R’s transform() function
Syntax 3: R’s apply function
Syntax 4: mapply()
Syntax 5: tidyverse’s dplyr
Getting summaries by data subgroups
Bonus special case: Grouping by date range
Sorting your results
Reshaping: Wide to long
Reshaping: Long to wide


I’ve created a sample data set with three years of revenue and profit data from Apple, Google and Microsoft, looking at how the companies performed shortly after the 2008-09 “Great Recession.” (The source of the data was the companies themselves; “fy” means fiscal year.) If you’d like to follow along, you can type (or copy and paste) this into your R terminal window:


#ResearchDataExcellence #DataAnalysisAwards #InternationalDataAwards #ResearchDataAwards #DataExcellence #ResearchData #DataAnalysis #DataAwards #GlobalDataExcellence #DataInnovationAwards #DataResearch #ExcellenceInData #DataAwardWinners#DataAnalysisExcellence #ResearchDataInsights #GlobalResearchAwards #DataExcellenceAwards #ExcellenceInResearchData #ResearchDataLeadership #DataResearchExcellence #AwardWinningData #InternationalResearchAwards #DataAnalysisInnovation #ResearchDataAchievement #ExcellenceInDataAnalysis #GlobalDataInsights #ResearchDataSuccess #DataAwards2024

Website: International Research Data Analysis Excellence Awards

Visit Our Website : researchdataanalysis.com
Nomination Link : researchdataanalysis.com/award-nomination
Registration Link : researchdataanalysis.com/award-registration
member link : researchdataanalysis.com/conference-abstract-submission
Awards-Winners : researchdataanalysis.com/awards-winners
Contact us : rdat@researchdataanalysis.com

Get Connected Here:
==================
Facebook : www.facebook.com/profile.php?id=61550609841317
Twitter : twitter.com/Dataanalys57236
Pinterest : in.pinterest.com/dataanalysisconference
Blog : dataanalysisconference.blogspot.com
Instagram : www.instagram.com/eleen_marissa

14 June, 2025

23 Best Data Visualization Tools You Can't Miss!

 23 Best Data Visualization Tools for 2025


According to a Fortune Business Insights report, the data visualization market in 2019 was estimated at $8.85 billion. By 2027, the market worth is expected to be $19.20 billion at a compound annual growth rate of 10.2%.

The proliferation of smartphones, growing Internet use, rapid advancements in Machine Learning, and the rising adoption of cloud computing technologies as well as the Internet of Things are driving the global data visualization market.

In addition, the increasing inclination for smart factories and the ever-widening use of visual analytics, information visualization, and scientific visualization in both small and large organizations are also contributing to the growth of the data visualization market.

Check out the video below that explains what Data Visualization is, Why we use Data Visualization, major considerations for Data Visualization and the basics of different types of graphs.

What Is Data Visualization?

Data visualization is the process of graphical representation of data in the form of geographic maps, charts, sparklines, infographics, heat maps, or statistical graphs.

Data presented through visual elements is easy to understand and analyze, effectively extracting actionable insights from the data. Relevant stakeholders can then use the findings to make more efficient real-time decisions.

Data visualization tools, incorporating support for streaming data, AI integration, embeddability, collaboration, interactive exploration, and self-service capabilities, facilitate the visual representation of data.

Here are 15 top-notch data visualization tools that are gaining market recognition for their impressive performance and usability.


What Are Data Visualization Tools?
Some of the best data visualization tools include Google Charts, Tableau, Grafana, Chartist, FusionCharts, Datawrapper, Infogram, and ChartBlocks etc. These tools support a variety of visual styles, be simple and easy to use, and be capable of handling a large volume of data.


Data is becoming increasingly important every day. For any organisation, you can understand how important data is while making crucial decisions. For the same reason, data visualisation is grabbing people's attention. Modern data visualisation tools and advanced software are on the market. A data visualisation tool is a software that is used to visualise data. The features of each tool vary, but at their most basic, they allow you to input a dataset and graphically alter it. Most, but not all, come with pre-built templates for creating simple visualisations.
What Do the Best Data Visualization Tools Have in Common?

All of the technologies available on the market for data visualisation have something or another feature in common. The first advantage is their simplicity of usage. There are two types of software that you will most likely encounter: those that are easy to use and those that are really difficult to visualise data. Some include good documentation and tutorials and are constructed in user-friendly ways. Others, regardless of their other qualities, are missing in certain areas, excluding them from any list of "best" tools. The one thing you should ensure is that the software can handle large amounts of data and many kinds of data in a single display.

The better software can also generate a variety of charts, graphs, and maps kinds. Obviously, there will be others in the market who present the facts in a somewhat different manner. Some data visualisation tools specialise in a single style of chart or map and excel at it. Those tools are also among the "best" tools available. Finally, there are financial concerns. While a larger price tag does not inherently disqualify a tool, it must be justified in terms of greater support, features, and overall value.
1. Tableau

Tableau is a highly popular tool for visualizing data for two main reasons: it's easy to use and very powerful. You can connect it to lots of data sources and create all sorts of charts and maps. Salesforce owns Tableau, and it's widely used by many people and big companies.

Tableau has different versions like desktop, server, and web-based options, plus some customer relationship management (CRM) software.

Providing integration for advanced databases, including Teradata, SAP, My SQL, Amazon AWS, and Hadoop, Tableau efficiently creates visualizations and graphics from large, constantly-evolving datasets used for artificial intelligence, machine learning, and Big Data applications.


#ResearchDataExcellence #DataAnalysisAwards #InternationalDataAwards #ResearchDataAwards #DataExcellence #ResearchData #DataAnalysis #DataAwards #GlobalDataExcellence #DataInnovationAwards #DataResearch #ExcellenceInData #DataAwardWinners#DataAnalysisExcellence #ResearchDataInsights #GlobalResearchAwards #DataExcellenceAwards #ExcellenceInResearchData #ResearchDataLeadership #DataResearchExcellence #AwardWinningData #InternationalResearchAwards #DataAnalysisInnovation #ResearchDataAchievement #ExcellenceInDataAnalysis #GlobalDataInsights #ResearchDataSuccess #DataAwards2024

Website: International Research Data Analysis Excellence Awards

Visit Our Website : researchdataanalysis.com
Nomination Link : researchdataanalysis.com/award-nomination
Registration Link : researchdataanalysis.com/award-registration
member link : researchdataanalysis.com/conference-abstract-submission
Awards-Winners : researchdataanalysis.com/awards-winners
Contact us : rdat@researchdataanalysis.com

Get Connected Here:
==================
Facebook : www.facebook.com/profile.php?id=61550609841317
Twitter : twitter.com/Dataanalys57236
Pinterest : in.pinterest.com/dataanalysisconference
Blog : dataanalysisconference.blogspot.com
Instagram : www.instagram.com/eleen_marissa

12 June, 2025

Agro-informatics Tech Talk on Agricultural Big Data Mining Laboratory (MARA), Friday, 11 April, 09:30 – 10:30 CEST !

 



Join us on Friday, 11 April at 09:30 CEST for another session of FAO Agro-informatics TechTalks on “Agricultural Big Data Mining Laboratory (MARA)” by Prof. Yunpeng Cui, Director of MARA.

The MARA team applies high-performance computing and petabyte-level storage to address complex agricultural challenges. Their work spans agricultural product quality analysis, poverty monitoring, ancient agricultural knowledge digitization, and AI-driven applications such as large language models. By integrating data science with real-world agricultural issues, their research supports more efficient farming, resource management, and policy development.


Notable achievements include the development of smart agriculture platforms, protein prediction models, and agricultural data governance systems. These innovations demonstrate the impact of big data analytics in modernizing farming practices, improving sustainability, and optimizing agricultural productivity.


#ResearchDataExcellence #DataAnalysisAwards #InternationalDataAwards #ResearchDataAwards #DataExcellence #ResearchData #DataAnalysis #DataAwards #GlobalDataExcellence #DataInnovationAwards #DataResearch #ExcellenceInData #DataAwardWinners#DataAnalysisExcellence #ResearchDataInsights #GlobalResearchAwards #DataExcellenceAwards #ExcellenceInResearchData #ResearchDataLeadership #DataResearchExcellence #AwardWinningData #InternationalResearchAwards #DataAnalysisInnovation #ResearchDataAchievement #ExcellenceInDataAnalysis #GlobalDataInsights #ResearchDataSuccess #DataAwards2024

Website: International Research Data Analysis Excellence Awards

Visit Our Website : researchdataanalysis.com
Nomination Link : researchdataanalysis.com/award-nomination
Registration Link : researchdataanalysis.com/award-registration
member link : researchdataanalysis.com/conference-abstract-submission
Awards-Winners : researchdataanalysis.com/awards-winners
Contact us : rdat@researchdataanalysis.com

Get Connected Here:
==================
Facebook : www.facebook.com/profile.php?id=61550609841317
Twitter : twitter.com/Dataanalys57236
Pinterest : in.pinterest.com/dataanalysisconference
Blog : dataanalysisconference.blogspot.com
Instagram : www.instagram.com/eleen_marissa

Baylor recognizes faculty excellence in research with DeBakey Awards !

L-R: Drs. Carolyn Smith, Alastair Thompson, Na Li, Anna Maria Mandalakas, Lilei Zhang, Hongjie Li and Paul Klotman. Six Baylor College of ...