I recently read the new @igoralcantara Data Voyager article, “Ask Your Data This Question Before Buying AI,” and found the reflection highly relevant for anyone working with data, analytics, and artificial intelligence.
Before investing in AI, it is important to assess whether the data is well organized, whether the metrics are clearly defined, and, most importantly, which business problem we are trying to solve. AI does not automatically fix incomplete or inconsistent data... it may simply generate fast answers based on unreliable information.
This connects directly to our work with Qlik: before building advanced dashboards or adopting AI capabilities, we need a consistent data model, well-defined business rules, and metrics that are clearly understood by everyone.
The article also connected perfectly with the Data and AI Fluency Masterclass, a course I recently completed that covered these essential foundations for using AI effectively and responsibly in data analysis. This course by Priscila Papazissis ( @papazissispaolinelli ) is highly recommended.
The main message is clear: AI should support a strong data strategy, not replace it.
