Data Dive #41: When Reports Lie - The Hidden Cost of Overlap đź’¸
BI teams may think they’ve got governance under control, but duplication hides in plain sight.
When every department builds its own dashboards, it’s easy to lose track of which reports are actually driving decisions and which are just noise. BI teams may think they’ve got governance under control, but duplication hides in plain sight. Slightly different logic or outdated data models across “similar” reports can quietly fracture trust in the data.
This isn’t theoretical. One company saw its sales and operations teams relying on near-identical reports from different platforms, one in Power BI and one in Tableau. Both aimed to forecast component demand but used different filters and cohort definitions. The result? A $3 million over-order in inventory, wasted capital, and delayed investment in higher-margin product lines.
To help prevent this, we have developed a BI Similarity tool at Datalogz that scans across platforms, flags overlapping reports, and generates a Similarity Score. It shows how much duplication exists and lets teams drill into the cause. It’s a smarter way to eliminate hidden risk and strengthen trust in your data ecosystem.
Future Frontiers in NYC: From Data Sprawl to AI Strategy | July 17th
​Continuing the Future Frontiers event series brought to you by Datalogz, co-sponsored by our friends at Qualytics.
​Calling all CDOs, CIOs, CISOs, and data leaders driving innovation in Fortune 1000 enterprises based in NYC!
​This event aims to foster a thoughtful discussion on the future of analytics and business intelligence, exploring their impact on the enterprise landscape.
​​​We look forward to an evening of lively conversations and a delicious catered dinner!
Inside the Datalogz BI Similarity Engine
At Datalogz, we’ve been working on a new feature that tackles one of the most overlooked issues in business intelligence environments: duplicate dashboards and reports showing almost the same numbers.
Our new BI Similarity engine analyzes 15+ parameters - including semantic models, DAX, visuals, and data sources - to flag dashboards and datasets with 70%+ similarity. We even show you which ones to consolidate or decommission.
If your BI environment is growing fast and starting to sprawl, let’s chat. We can help you clean up the noise and build trust in your data again.
Dinner with Data Leaders: Atlanta’s Brightest at the Table
Last week in Atlanta, we hosted an intimate dinner with some of the city’s most influential data and analytics leaders, set against the stunning riverfront backdrop of Canoe.
This wasn’t just another dinner. It was a gathering of minds shaping the future of BI, analytics, and AI. From shared challenges in self-service governance to the opportunities emerging with Microsoft Fabric and AI-powered workflows, the conversation was honest, forward-looking, and deeply valuable.
At Datalogz, we believe the future of BI starts with stronger connections, not just between data systems, but between the leaders driving them. Thanks to everyone who joined us in Atlanta and made this such a memorable evening!
