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.
BI sprawl
Datalogz 2.8 is here!
Datalogz 2.8 represents a major step forward in transforming BI from a liability into a managed, measurable asset.
Datalogz Demo Deck
Datalogz is a BI Ops solution that enables teams to bridge the gaps in their business intelligence environment.
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.
Modernizing BI Governance Without Killing Self-Service
At the latest edition of Future Frontiers, data leaders came together for a wide-ranging discussion on AI, BI, and real-world stories of enterprises deploying solutions to improve governance and address BI Sprawl.
Data Dive #45: BI Similarity Is Here + See us at FabCon Europe! 📊
Inside most enterprises, similar reports are a silent killer of analytics programs.
Executive Guide: Purview vs. Datalogz
This executive guide breaks down the key differences between Microsoft Purview and Datalogz Control Tower.
Native BI Monitoring vs. Datalogz
This report compares the built-in monitoring capabilities of Power BI and Tableau with Datalogz’s purpose-built BI Ops platform.
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.
What Is BI Ops? Solving the Hidden Risks in Business Intelligence - The CyberVault with Logan Havern
If you care about protecting data, cutting BI waste, and restoring confidence in analytics, this conversation is definitely worth your time.
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.