Datalogz Resources: BI Governance & Analytics Insights

Seize the Data #16 - Why Trust Still Decides Whether Analytics Works with Vishnu

Seize the Data #16 - Why Trust Still Decides Whether Analytics Works with Vishnu

Vishnu’s stories span 2002 to 2026. In all of them, the technology changes and the problems stay the same. Projects that ship on time still disappoint, because IT and the business define success differently.

Retire, Consolidate, Keep: Rationalizing Analytics Across Power BI, Tableau and Qlik

Retire, Consolidate, Keep: Rationalizing Analytics Across Power BI, Tableau and Qlik

Your analytics bill is the smallest part of the problem. See where the real cost of sprawl sits across licenses, compute and people, and how to cut it across every tool.

The Semantic Layer You Never Knew You Already Had

The Semantic Layer You Never Knew You Already Had

Before AI agents can trust your metrics, someone has to decide which definition counts. Here’s how to start from what exists.

Seize the Data #15 - Context Is King with Ashish Kumar Jha

Seize the Data #15 - Context Is King with Ashish Kumar Jha

Vishnu’s stories span 2002 to 2026. In all of them, the technology changes and the problems stay the same. Projects that ship on time still disappoint, because IT and the business define success differently.

2026 India Roadshow Recap: Why Enterprises Need Decision Infrastructure Before AI

2026 India Roadshow Recap: Why Enterprises Need Decision Infrastructure Before AI

Every room in Hyderabad, Mumbai, and Bengaluru had the same gap. It isn’t the data.

The End of BI? A Candid Conversation About Analytics in 2035

The End of BI? A Candid Conversation About Analytics in 2035

Anouk and Luke set aside the slides and talk through where analytics is headed over the next decade.

The Art of Decision Making: What Analytics Will Mean in 2036

The Art of Decision Making: What Analytics Will Mean in 2036

What will analytics look like in ten years? Anouk Gorris traces the word from Aristotle to agentic AI and finds the same pain points recorded in 1662, 2016 and 2026.

Is Microsoft killing Power BI?

Is Microsoft killing Power BI?

For most of its life Power BI has been a reporting tool, and Microsoft is now moving it down a layer, to the semantic layer where the meaning of the numbers gets defined.

The Decision Layer Is the Next Enterprise Data Architecture Battleground

The Decision Layer Is the Next Enterprise Data Architecture Battleground

Ask any data team how many reports they actually have, and whether they trust the numbers on them. Watch the room go quiet. That's not a tooling gap. It's an architecture gap, one layer too high, at the exact point where data becomes a decision.

Data Dive #63: Datalogz in India this week! 🇮🇳

Data Dive #63: Datalogz in India this week! 🇮🇳

AI does not fix a broken analytics foundation. It inherits it and then amplifies it.

The Fourteen-Day Problem

The Fourteen-Day Problem

This technical whitepaper breaks down how Fabric capacity actually behaves, why the resulting numbers are harder to read than they look, and the real reason capacity problems persist.

Mission-Driven Decision Optimization

Mission-Driven Decision Optimization

This one-pager covers how Datalogz's Control Tower reads an agency's full analytics estate, derives the ontology underneath it, and serves a single, trusted definition back to program leaders, analysts, and AI agents alike.