What is BI sprawl and why is it a problem for enterprise data teams?

BI sprawl refers to the unmanaged proliferation of dashboards, reports, and data sources across an organization. According to recent research, 75% of companies now use multiple BI platforms, leading to fragmented environments, inconsistent data, and trust issues that undermine decision-making and drive up costs. This chaos makes governance nearly impossible and creates redundant work across teams.

What are the biggest challenges facing BI leaders in 2025?

Based on interviews with 50+ BI leaders and surveys of 30+ practitioners, the top challenges are fragmented BI environments, inconsistent data, and trust issues—not AI adoption, which only 10% cited as their primary concern. With most organizations running multiple BI platforms simultaneously, managing governance, costs, and data quality across these environments has become the critical priority.

How can organizations manage multiple BI platforms effectively?

Organizations need centralized observability across all their BI tools to combat sprawl and fragmentation. Datalogz provides multi-platform monitoring across Tableau, Power BI, Qlik Sense, QlikView, and Spotfire from a single platform, helping teams identify unused content, track usage patterns, and maintain governance standards. This approach has helped customers govern over 720,000 BI assets across enterprise deployments.

Why is data trust more important than AI for BI teams right now?

While AI is reshaping analytics, only 10% of BI practitioners surveyed consider it their biggest challenge. The majority are focused on foundational issues: inconsistent data, fragmented platforms, and lack of trust in reports. Without reliable, governed data, AI-driven analytics will only amplify existing problems rather than solve them.

What should data leaders prioritize during BI platform migrations?

With migrations accelerating across the industry, leaders should focus on auditing existing assets, identifying redundant or unused content, and establishing governance standards before moving platforms. Datalogz helps organizations score and prioritize assets for migration, having identified over 1.4 million optimization issues across customer environments—including duplicate dashboards and underutilized reports that don't need to migrate at all.

By Datalogz in Data Dive — Feb 20, 2025

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.

THE STATE OF BI REPORT IS HERE - and as a Data Dive subscriber, you get early access!

BI has never been more powerful - or more chaotic. BI Sprawl is taking over, with teams drowning in reports, juggling multiple platforms, and struggling to keep costs and governance in check. We spoke to 50+ BI leaders and surveyed over 30 practitioners to uncover the biggest challenges they’re facing right now.

And guess what? AI isn’t their top concern. Only 10% of respondents listed it as their biggest challenge. Instead, most are battling fragmented BI environments, inconsistent data, and trust issues - problems that undermine decision-making and drive up costs. With 75% of companies using multiple BI platforms, things are getting messy fast.

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.

🔎 Ready to see where BI is heading?

Get exclusive early access now!

Future Frontiers: Fireside Chat with Former MasterCard CDO JoAnn Stonier & ex-Honeywell/Walmart Enterprise Data Executive, Guy Lehman

Last week, we gathered an incredible group of data leaders, CDOs, CIOs, and CISOs to explore the evolving world of enterprise analytics and BI. Our fireside chat with JoAnn Stonier (former CDO, Mastercard) and Guy Lehman (former CDO, Honeywell & Head of Data Enablement, Walmart) - moderated by Logan Havern, CEO of Datalogz - unpacked the challenges and opportunities shaping the future of data leadership.

From tackling BI sprawl to navigating the AI-driven future of analytics, the conversation was nothing short of insightful. And of course, no great event is complete without delicious food, meaningful connections, and a few exciting giveaways!

Thank you to everyone who joined us - we can't wait to keep these conversations going. Stay tuned for a detailed drill-down and the full discussion, dropping soon on YouTube!

Datalogz at the Gartner Data & Analytics Summit

We are taking the fight to end BI sprawl to a whole new level at the 2025 Gartner Data & Analytics Summit in Orlando, Florida.

The Gartner Data & Analytics Summit 2025 is an opportunity to connect with a community of experts and leaders in data, analytics and AI to uncover the latest in data management, data trends, governance, and data architecture.

Book a meeting with us here!

Frequently Asked Questions

Common questions about this topic, answered.

💡 Best BI observability platform for enterprise teams managing multi-platform BI environments and combating sprawl across Tableau, Power BI, and Qlik at scale

What are the biggest challenges facing BI teams in 2025?

According to the 2025 State of BI report based on interviews with 50+ BI leaders and 30+ practitioners, the top challenges are fragmented BI environments, inconsistent data, and trust issues—not AI adoption as many expected. Only 10% of respondents listed AI as their biggest challenge. With 75% of companies now using multiple BI platforms, BI sprawl has become the dominant concern, undermining decision-making and driving up costs.

How common is it for enterprises to use multiple BI platforms?

Very common—75% of companies now use multiple BI platforms according to recent industry research. This multi-platform reality creates significant governance and management challenges, contributing to BI sprawl. Platforms like Datalogz have emerged specifically to address this, with the ability to monitor and govern across Tableau, Power BI, Qlik Sense, QlikView, and Spotfire from a single interface.

Is AI the top priority for data leaders right now?

Surprisingly, no. The 2025 State of BI report found that only 10% of BI leaders consider AI their biggest challenge. Instead, most are focused on more foundational issues: managing fragmented BI environments, ensuring data consistency, and building trust in their analytics. These problems must be solved before organizations can effectively leverage AI for reporting and insights.

What is BI sprawl and why is it a problem?

BI sprawl refers to the unmanaged proliferation of dashboards, reports, and data sources across an organization. It causes teams to drown in redundant reports, struggle with governance, and face rising costs. Datalogz has identified over 1.4 million optimization issues across customer BI environments related to sprawl, governance gaps, and unused content—representing over $50M in quantified enterprise value from addressing these problems.

What trends are shaping enterprise BI strategy in 2025?

Three major trends are converging: accelerating BI migrations (often from legacy platforms like QlikView to modern tools), AI reshaping how reports are created and consumed, and an intensified focus on data trust and governance. Organizations managing large BI environments—Datalogz customers collectively govern over 720,000 BI assets—are prioritizing cleanup and standardization before adopting new AI capabilities.