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Thought Leadership
June 10, 2025
5 min read
Whitepaper: AI Readiness with Generative BI
Business Intelligence (BI) has traditionally relied on structured dashboards, curated data pipelines, and defined metrics produced by specialized teams. In this model, business users waited on analysts and engineers to extract insights from static reports. Today, Generative AI (GenAI) is turning that model on its head.
This white paper explores the transformative potential of Generative BI (GenBI), where natural language interactions replace static dashboards, and insight generation becomes a dynamic, democratized process. Through the lens of real-world experiences shared in a recent executive roundtable, we explore how organizations can embrace GenAI to drive faster, smarter decisions.
Introduction: A Shift in Thinking
From Static Views to Dynamic Conversations
Traditional BI tools like Power BI and Tableau create valuable outputs, but they require predefined schemas and visualization templates. In contrast, GenBI enables business users to engage with data conversationally.
Participants emphasized that GenBI shifts the user experience from filtering prebuilt dashboards to asking direct questions using natural language. This allows non-technical users to explore data on their own terms and in real time. Instead of waiting for analyst cycles, business users can now get answers immediately, ask follow-up questions, and interact with data more fluidly.
"Imagine being able to understand your business minute-by-minute, making small adjustments before issues become major problems. That’s the promise of GenBI."
Article Info
Published:
Author:
Jordan Groves - Strategic Growth Advisor
Category:
Thought Leadership
Reading Time:
5 minutes
Topics:
AI Agents, Generative BI, Use Cases, AI Readiness
Key Topics
AI Agents
Generative BI
Use Cases
Workflow Optimization
Implementation Strategy
Business Outcomes
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© 2025 Beye Analytics Inc. DBA Beye Inc. All rights reserved.
Made with ❤️by the Beye.ai team
Published:
June 10, 2025
Start Small: Use Case First, Not Data First
One consistent message was: don’t wait for perfect data. The traditional approach of "fixing all the data first" often results in years-long delays. GenBI allows organizations to flip the script - beginning instead with a specific, high-impact business use case.
This bottom-up approach reduces risk and complexity. Teams identify a pain point (e.g., increasing product returns in a region), isolate the relevant data, and apply GenBI tools to solve the problem. Insights come faster, and success in one use case builds organizational momentum.
"If you wait for perfect data, you’ll wait forever. Focus on solving one meaningful problem - then scale"
Organizational and Cultural Barriers
Despite the promise of GenBI, adoption often runs into internal resistance. IT teams may be skeptical of new tools. Business users may be wary of owning data interactions.
Roundtable participants highlighted a key insight: democratizing BI changes roles. IT's role shifts from gatekeeper to enabler. Business teams move from passive consumers of insights to active participants in generating them.
This requires change management, education, and new expectations around trust, transparency, and responsibility.
"The real innovation isn’t just new tech. It’s new roles, new behaviors, and a new culture of shared insight."
Conclusion: Rethinking the Starting Line
GenBI is not just a new tool; it’s a new mindset. It invites companies to rethink how they define readiness, where they start, and who gets to participate in the data conversation.
Starting your GenBI journey doesn’t require years of prep. It requires a willingness to start with a question, test a use case, and learn iteratively.
As the roundtable experts emphasized: curiosity is your best asset. The tools are ready. The insights are waiting. It’s time to move from dashboards to dialogue.
Empowering the Edge: Usability and Scale
Perhaps the most revolutionary aspect of GenBI is its accessibility. Thanks to widespread familiarity with tools like ChatGPT and CoPilot, even frontline workers are becoming comfortable interacting with data using natural language.
This opens up BI to everyone - from supply chain managers to shop floor supervisors - without needing deep analytical skills.
"You don’t need a training session to use it. If you can ask a question, you can use GenBI"
Time-to-Insight: Accelerating the Cycle
Traditional BI workflows can be slow. Dashboards refresh on Monday. Questions arise Tuesday. Analysts respond Thursday. Action might happen the following week - if at all.
GenBI collapses that cycle. Business users can query data directly, iterate immediately, and act faster. This minimizes lag between insight and impact.
"We used to wait days or weeks for answers. Now we get them in minutes. That changes everything."
-Iyad El-Khatib, CEO, PMX
Data Readiness: Rethinking What's Good Enough
A major barrier to BI adoption has historically been the belief that data must be pristine. Roundtable experts argued that with GenAI, this is no longer true.
GenBI systems can interpret messy or incomplete data, auto-generate schemas, and infer relationships based on context. Instead of requiring months of manual modeling, modern tools apply AI to prepare data dynamically.