Qlik Sense

What Stevin gets out of Qlik Sense

Qlik Sense stands out for its associative model: you can move freely through the data and find connections you never planned to look for, which is more than most tools that lock you onto a fixed path. So we feed marketing data into Qlik Sense at organizations that already use it as company-wide BI and actually put that exploration to work. Where it gets tight is that this is enterprise tooling: heavy, with a learning curve, and marketing data usually arrives late and does not slot in on its own. And like any BI environment, Qlik waits for someone to look. It shows the anomaly, it does not flag it. Stevin runs on top, reads the same data, and signals when something turns, with follow-up underneath and a person reviewing anything that carries weight first. Qlik is for exploring, Stevin is for acting in time.

What you pair it with

Choosing Qlik Sense usually means the choice was already made at company level, and marketing data has to fall in line behind it. Count on a data layer underneath, and on real work to get your channels cleanly into the associative model, because that does not happen by itself. It explores beautifully, but it changes nothing about how fresh your sources are. In practice: make sure your marketing data is delivered as seriously as the rest of the BI. The question that remains is who responds to what the exploration brings to light.

Common mistakes

• →Treating marketing data as a latecomer that never quite fits the BI.
• →Underestimating the learning curve and leaving the exploration power unused.
• →Assuming a BI environment flags anomalies on its own.
• →Confusing exploring with following up: Qlik does nothing of its own accord.