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
Interesting data concepts, avant-garde ideas, and the best of data content from across the web.
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.
Data Dive #36: Microsoft Fabric, Unraveled 📈
More than a year since the launch of Microsoft Fabric, there is continued potential that AI will reshape workflows and deliver powerful performance tomorrow. But, today, the implementation of AI at scale is still being worked out.