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.
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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.
Data Dive #35: Our Gartner D&A Recap 💡
Despite the AI hype, BI remains essential. We spoke with over 200 organizations, and BI sprawl emerged as a major concern.
Data Dive #34: State of BI: Insights for Data Leaders on the Strategic Edge 🎯
BI is at a crossroads. Migrations are accelerating, AI is reshaping reporting, and trust in data has never been more critical. This report breaks it all down - so you can get ahead.
Data Dive #33: BI Ops: Governance for the Consumption Layer 📊
Just as there is a need for data governance at the warehouse layer, organizations must adopt BI Ops at the consumption layer.
Data Dive #32: Using Data to Improve the Federal Government, and Tackle America’s Biggest Challenges 🇺🇸
To explore how the federal government is working to improve systems, processes, and culture Datalogz recently hosted a conversation with data leaders at the forefront of federal data adoption.
Using Data to Improve the Federal Government, and Tackle America’s Biggest Challenges
The people carrying out public service work on some of the most fascinating challenges, and aim to make a big impact. Yet, like all enterprises, the federal government can benefit from increased use of data to bring together disparate environments, improve efficiency, and access innovation.