Data Dive #57: The BI Governance Playbook for the AI Era π€
Drawing on interviews with 70+ data leaders conducted by the independent agency Intake Media, the second-annual report provides a roadmap for the agentic era.
Drawing on interviews with 70+ data leaders conducted by the independent agency Intake Media, our second-annual State of AI in BI Report provides a roadmap for the agentic era.
Key findings include:
- BI Governance was a major challenge cited by all interviewees. Organizations want guardrails around their analytics environments to root out duplicate reports, security risks, and runaway compute that drives up costs.
- Agentic BI Compounds Sprawl. The unsolved problems of the self-service era will follow us into the AI era. Agentic capabilities will exponentially increase the number of reports and dashboards, creating the potential to leave more chaos in their wake.
- Fewer BI reports will win the AI era. In self-service, the goal was to get more business users building reports, and creating more data products. This produced sprawl. AI will put a premium on fewer reports and capabilities to ensure they are accurate and certified, across the organization.
- The semantic layer is foundational to AI success. As more reports are accessed by autonomous agents, organizations must establish an enterprise-wide source of truth that identifies definitions, metrics, and policies.
Context is key. AI models need context to ensure the information that underlies every output remains accurate, consistently, at scale. BI is a key source of context. The output of analytics can be an input into LLMs.
Agentic AI is transforming how we work with data. The guardrails need to keep up.
Agents are making it possible to complete entire workflows with the push of a button, have a conversation with data, and produce analysis that previously wasnβt considered.
But for every incredible use case that captures the imagination, there is also risk. Inaccurate information, exposure of sensitive data, and wasted resources not only undermine decision-making, but unleash chaos that scales quickly.
Data leaders explored this rapidly evolving complexity and offered actionable tips for professionals to navigate it at the latest edition of Future Frontiers, a quarterly event series organized by Datalogz. Held at the Perkins Coie law firm in New York City, the panel discussion welcomed CDOs, CIOs, CISOs, and seasoned analytics professionals for a thought-provoking evening of discussion and networking.
A panel discussion held during the event featured the following:
- Huijuan (Sunny) Zhu, Head of Data & Analytics, Strategy & Operation, Indeed
- Joay K. Singhal, former CDO at Pimco and AI Transformation Leader
- Roy Daniel, Co-Founder and CEO, definity
- Logan Havern, Co-Founder and CEO, Datalogz
π¬π§ Datalogz at Gartner London

At Gartner Data & Analytics Summit London, Anouk Gorris, VP of Product at Datalogz, saw one theme come through clearly: the AI conversation is moving from possibility to operational readiness.
Across sessions and peer conversations, data leaders were focused on agentic analytics, AI governance, decision intelligence, data quality, cost optimization, and AI-ready data foundations. The takeaway was clear: enterprises cannot scale AI confidently on top of fragmented, duplicated, or low-trust analytics environments. The next phase of AI success will depend on stronger governance, cleaner data products, and greater visibility across the BI layer.
π Where BI Teams Learn, Govern, and Scale
Weβre building a dedicated learning hub for Datalogz customers and select insiders. Datalogz University will bring together practical resources, product education, BI governance best practices, expert insights, and hands-on guidance to help teams get more value from their BI environments.
From reducing BI sprawl to strengthening governance and improving adoption, it will be a space designed to help data leaders and BI teams move faster with more confidence.
π Whatβs New in Datalogz 2.11/12
The latest release expands Control Tower across more of the BI stack, with Sigma support in private preview, redesigned BI Similarity with Tableau support, department-level insights in BI 360, and richer Power BI usage analytics.
π Whatβs New in Datalogz 2.11/12

Join Datalogz for an intimate dinner at Uchiko, Plano with a small group of Dallas-based data and analytics executives. Hosted in a private room, the evening will feature a curated tasting menu with Uchiko favorites.
With only 12 seats available, the dinner is designed for meaningful conversation, relevant peer connections, and a relaxed evening with other data leaders. No panels. No presentations. Just great food and good company.