
The BI Paradox: How Indexima Is Rebuilding Analytics from the Backend Up
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In a world where business users expect instant insights from tools like Power BI and Tableau, few stop to consider the heavy lifting happening behind the scenes. Dashboards may look simple, but the infrastructure powering them often involves layers of complex data engineering, expensive queries, and frustrating delays. This mismatch is what Nicolas Korchia, Co-founder and CEO of Indexima, calls the BI paradox.
In this episode of IT Infrastructure as a Conversation, Nicolas joins Neil to explore how Indexima is solving this issue by automating the most painful parts of business intelligence. Rather than forcing engineers to build yet another manual data pipeline, Indexima uses AI to identify query patterns and automatically generate dynamic tables directly within Snowflake. The outcome is faster dashboards, lower compute costs, and a smoother experience for analysts and engineers alike.
We unpack how Indexima’s engine monitors live dashboard usage, detects inefficiencies, and rewrites queries on the fly to target optimized aggregation layers. This not only improves performance but also contributes to sustainability by reducing the volume of data scanned and processed. For organizations under pressure to balance data speed with environmental impact, it is a practical and forward-looking approach.
Nicolas also shares real-world use cases from retail and finance, where customers have slashed dashboard load times from minutes to milliseconds and eliminated the need for nightly data extracts. The conversation touches on broader trends too, including the role of large language models in BI workflows and how tools like ChatGPT might soon assist in building semantic layers.
For anyone responsible for scaling data infrastructure, this episode provides a grounded look at how automation is reshaping BI from the ground up. If your teams are still wrestling with slow dashboards and spiraling query costs, this is a conversation worth listening to.
What if the future of analytics was not about working harder, but about letting your infrastructure work smarter?