Artificial intelligence is revolutionizing Business Intelligence (BI), making it possible to analyze gigantic volumes of data and generate ever more accurate insights. But faced with this avalanche of information, a question arises: Does more data really mean better understanding, or is there a risk of drowning in a flood of useless indicators?
Let's take a concrete case:
🔹 One traditional dashboard shows 10 key KPIs, which are essential for monitoring performance.
🔹 One AI-boosted BI solution generates 50 additional indicators to refine the analysis.
🔻 Result? The user is overwhelmed and loses sight of what matters most. Instead of helping with decision-making, AI may add noise and complicate the interpretation of data.
The aim is not to produce more numbers, but to make sense of the data.
Effective Business Intelligence is not measured by the number of indicators, but by their relevance and their impact on decision-making. Here are the three fundamental principles for a useful and non-invasive AI:
✔ Less data, better explained : An excess of poorly organized information leads to cognitive overload. An effective dashboard should focus on clarity and readability.
✔ Contextualization and explanation : An AI BI should not just show numbers, but put into perspective. Why is this KPI important? What concrete action is the result?
✔ Prioritizing insights : Not all indicators are the same. AI must learn to identify the most strategic ones and put them forward to avoid decision-making paralysis.
At Strat37, we designed StratBoard™, a AI dashboard designed for efficiency and simplicity: less noise, more actions. It highlights only essential indicators, enriched with clear and actionable analyses, in order to help our users understand their data and make informed decisions.
AI applied to Business Intelligence should not turn dashboards into labyrinths of illegible indicators. Too much misused data becomes counterproductive. The challenge is not to collect more information, but to intelligently structure the information that really matters. Effective BI does not drown the user in numbers, it Give him the keys to act quickly and well.
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