What is the difference between Business Intelligence and Decision Intelligence?

Business Intelligence (BI) outputs information through dashboards and reports, while Decision Intelligence (DI) outputs actions—recommended next steps, decision policies, and sometimes automated decisions with guardrails. BI success is measured by adoption, whereas DI success is measured by outcomes like speed, consistency, risk reduction, and measurable business impact. Gartner defines Decision Intelligence as a discipline that explicitly engineers how decisions are made and how outcomes are evaluated and improved via feedback.

Why does BI quality matter for Decision Intelligence initiatives?

Decision Intelligence is only as strong as the BI layer underneath it. If your BI environment has duplicated reports, drifting metric definitions, stale data refreshes, unclear ownership, or loose permissions, DI becomes a force multiplier for inconsistency and disagreement. Certified datasets, endorsed dashboards, and standardized metrics are the building blocks DI relies on to function effectively.

How does BI sprawl impact Decision Intelligence adoption?

BI sprawl creates a discoverability failure that undermines Decision Intelligence efforts. When teams can't quickly find, narrow, and prioritize trusted assets, governance stays reactive and decision-making suffers. Datalogz helps organizations address this by governing over 720,000 BI assets and identifying more than 1.4 million optimization issues across customer environments, ensuring decision-ready assets are easier to trust and scale.

What tools help prepare a BI environment for Decision Intelligence?

Organizations need BI observability platforms that monitor security, performance, governance, and cost across their BI estate. Datalogz provides this foundation by tracking usage, identifying unused or duplicate content, and surfacing BI sprawl across platforms like Tableau, Power BI, and Qlik. This creates the certified, reliable data products that Decision Intelligence systems depend on.

What are the hidden costs of messy BI environments?

Messy BI environments impose an operational tax through duplicated reports, rising platform costs, and reactive governance. Beyond direct costs, there's a discoverability failure that slows decision-making and erodes trust in analytics. Datalogz customers have identified over $8.2 million in avoidable BI spend through cost management alerts alone, demonstrating the significant financial impact of unmanaged BI sprawl.

By Datalogz in Data Dive — Mar 8, 2026

Data Dive #53: BI Sprawl to AI-Ready Decision Intelligence with Georgia-Pacific & PepsiCo at Gartner 🤝

If you're heading to the Gartner Data & Analytics Summit, don't miss our theater session on March 9th at 1:40 PM ET in Theater 2!

AI is not fixing BI chaos. It is amplifying it. As enterprise BI environments grow, so do duplication, ownership gaps, rising costs, and fragmented reporting. That makes governance at the BI layer more urgent, not less. At Gartner this year, that is the conversation Datalogz is here to have.

In our theater session on March 9 at 1:40 PM ET in Theater 2, leaders from Georgia-Pacific, PepsiCo, and Datalogz will discuss what it takes to move from reactive BI administration to operational governance, with a focus on rationalization, monitoring, lifecycle enforcement, and trusted reporting foundations for the AI era.

And at Booth #430, we will be showcasing how Control Tower helps enterprises cut through BI sprawl, reduce waste, strengthen governance, and build a more scalable analytics environment across Power BI, Tableau, and Qlik.

If you're heading to the Gartner Data & Analytics Summit, don't miss our theater session on March 9th at 1:40 PM ET in Theater 2!

☕ The Data Leader Kaffeeklatsch

During Microsoft FabCon week, we are also hosting The Data Leader Kaffeeklatsch on March 16 at 8:30 AM ET in Atlanta. Join Logan Havern, Hari Chidambaram of Intuit Mailchimp, and Doug Binger of RaceTrac for a breakfast conversation on decision intelligence, BI sprawl in the AI era, and scaling analytics for business impact.

📈 SQL Saturday: Build a Semantic Layer for AI in BI

Anouk Gorris, Director of Product at Datalogz, is speaking at SQL Saturday Atlanta 2026 on “Build a Semantic Layer for AI in BI.” The session will focus on the practical side of AI-ready BI architecture, including what a semantic layer really means, why it matters now, and how teams can implement it in a way that supports future AI use cases.

📊 Decision Intelligence isn't an AI problem. It's a trust problem.

In a recent Datalogz webinar, CEO Logan Havern and Director of Product Anouk Gorris argued that most enterprises are not ready for decision intelligence because their BI foundations are not ready.

Our customer data shows a 77% year-over-year increase in reports and dashboards from 2025 to 2026, and AI is accelerating that sprawl, not solving it. When people cannot find, trust, or verify existing assets, building something new is always faster than reusing what exists.

This is where BI Ops becomes critical. As Anouk put it during the session: you cannot automate trust, you have to engineer it. Decision intelligence is a trust problem before it is an AI problem, and the teams that get there first will treat BI Ops as a core discipline, not cleanup work.

Read the insights from webinar here.