Google Dataset Search

What is Google Dataset Search? It is a free tool from Google that helps people find datasets across the web in one place. Think of it like Google Search, but instead of searching for webpages, it searches for data that can be used for research, analysis, and projects. Google Dataset Search collects information about datasets published […]
Exploring MCP with Power BI: A Practical Research & Setup Experience

In recent weeks, there has been growing interest in understanding how AI can improve the way teams work with Power BI models and reporting workflows. While Power BI already provides strong capabilities for visualization and analytics, tools like MCP (Model Context Protocol), GitHub Copilot, and Claude are helping reduce manual work and improve productivity. Understanding the […]
RBQM and Advanced Analytics: Redefining Clinical Trial Execution

Clinical trials are becoming complex day by day, however being in the era of Advance Analytics we can find out the ways to analyse this critical and intricate data. Problem with Traditional Monitoring: Traditional Monitoring of Clinical trials is always Time consuming Costly Resource intensive Sometimes misleading due to personal biases. Onsite monitoring for 100% SDV […]
Modern Excel PivotTables: Accelerating Enterprise-Grade Data Analysis

Excel PivotTables have quietly gotten a lot more “modern” in the last year—especially for analysts who live in Microsoft 365. One big upgrade is the smarter, easier Recommended PivotTables experience. Microsoft replaced the older dialog with a redesigned panel that makes it simpler to preview options and adjust your data range before inserting a […]
How Trusted Data Is Helping Banks Fight Financial Crime-and Win

Financial crime is evolving—fast. Fraud rings operate across borders, money-laundering schemes are more sophisticated than ever, and cybercriminals are using AI to mimic identities, fabricate documents, and exploit vulnerabilities in digital banking. In this high-stakes battle, one advantage consistently determines who wins: trusted, high-quality data. For years, banks collected massive volumes of data but struggled to use it effectively. Poor data […]