
Frustration has always been very high with BI solutions. breaking models and dashboards has always been an issue. It often required to prevent end users to create what ever they wanted for governance sake.

If you’re evaluating a Business Intelligence (BI) solution in 2024, there’s one non-negotiable criterion: integration with generative AI. Without it, you’re investing in yesterday’s technology.
Here’s why:
After two decades of deploying BI solutions, I’ve learned that complexity has always been the Achilles’ heel of BI systems. Generative AI changes everything. It reduces labor-intensive processes like mappings, analyses, and report building. It transforms BI by embedding machine learning capabilities directly into the workflow, making once-complicated tasks intuitive and efficient.
This isn’t just a vision—it’s the reality that vendors are waking up to (and in some cases, fearing). The BI systems of the future will be:
But here’s the paradox: as generative AI lowers technical barriers, shadow BI could rise. Non-technical users can now manipulate data and build their own pipelines with codeless tools. This is both an opportunity and a challenge for organizations.
For Chief Data Officers (CDOs), the mandate is clear:
The bottom line? BI, powered by generative AI, will finally live up to its name and become truly intelligent. But the risks—like inconsistent data usage or eroded trust—are real and must be addressed proactively.
So, let me ask you:
Let’s discuss the future of BI—and the role generative AI will play in shaping it.
P.S. If you’re a CDO or data professional, I’d love to hear your thoughts on this shift. How are you approaching data governance in this new era?
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