Data Dive #48: Seize the Data with Microsoft's Global Head of BI Strategy 🧠
AI and BI are no longer separate domains but deeply intertwined, working together to help organizations make faster, smarter, and more contextual decisions.
Data Dive
Interesting data concepts, avant-garde ideas, and the best of data content from across the web.
Data Dive #47: Datalogz 2.8 is here! + Meet Us In India 🚀
With version 2.8, Datalogz transforms BI from a sprawl of reports into a governed, cost-efficient, and dependable asset.
Data Dive #46: Modernizing BI Governance Without Killing Self-Service⚡
Behind every breakthrough in BI, are leaders rethinking how we govern, trust, and use data.
Data Dive #45: BI Similarity Is Here + See us at FabCon Europe! 📊
Inside most enterprises, similar reports are a silent killer of analytics programs.
Data Dive #44: How AI Is Reshaping Data, Analytics, and BI Ops 🤖
To capitalize on AI, it will require a whole-of-organization approach that aligns people, processes, and technology.
Data Dive #43: Unlocking the Full Value of Copilot with BI Context 📈
Datalogz brings structure to the BI layer, improves trust in analytics, and unlocks the full potential of AI.
Data Dive #42: From BI Chaos to AI Confidence: Are You Ready? 🤖
Capabilities to gather, catalog, analyze, and visualize data have grown more powerful, and they are now in the hands of more users.
Data Dive #41: When Reports Lie - The Hidden Cost of Overlap 💸
BI teams may think they’ve got governance under control, but duplication hides in plain sight.
Data Dive #40: The BI Value Chain 🔗
Understanding where your organization stands in this value chain is the first step toward transforming BI from a cost center into a strategic differentiator.
Data Dive #39: Duplicate BI Reports Are Costing You More Than Money 📊 + What We've Been Up To
This isn’t just about having similar-looking dashboards; it’s the silent duplication of reports, data models, and calculations across and within your BI systems.
Data Dive #38: How Datalogz fits into the Microsoft ecosystem? 🎛️
With increasing volumes of reports, dashboards, and users, the real challenge isn't just enforcing access controls or tracking data lineage.
Data Dive #37: Explosive Growth in Analytics Means BI Sprawl 📈
Most BI teams lack visibility into what’s actually happening across their tools. There’s no central place to monitor usage, identify redundancies, or understand what’s being consumed and what’s going stale.