Data-driven decision-making does not require a bigger reporting system. Most companies assume it does, so they spend six to twelve months building a data warehouse and hoping the reports get used.
In this episode, Feliks and Nikolai Golenko explain why that approach quietly wastes money. Months of building, then quiet hope on both sides. The reports look finished, and still nothing changes. A report that changes no decision is not neutral. It is budget spent for nothing.
They walk through the faster alternative MultiBase runs with every client: Insight Discovery, a two-to-four-week sprint that takes one dataset you already have and proves which parts of it can be turned into profit. Human expertise and AI work the data together, surface 50 to 100 possible use cases, and separate the “so what” signals from the golden nuggets worth acting on, all before a single pipeline is built.
Feliks tells the Teresa story, where one signal everyone had missed was worth 90K in margin, and explains why complexity is the real trigger. The more customers, products, suppliers, and transactions you carry, the more profit hides in plain sight. This is where Business Intelligence stops being a cost line and starts paying for itself, and what data driven decision making looks like when you prove the profit before you build.
