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Exploratory analyses and segmentations: even in AI, vintage is good!

Discover our Segmentation.AI solution

What if we went back to basics, after the recent tidal wave around AI, and the progressive computerization of our profession: explore, analyze, cross-reference, interpret, understand, synthesize!

Today, programming is everywhere. Data analysis methods, such as Principal Component Analysis (PCA), have become essential to simplify and reduce the complexity of data. Thanks to open source clustering techniques, it is now possible to assign each individual in a dataset (customer, file, patient, transaction, etc.) a specific segment. However, without programming, it remains difficult to produce relevant graphs and interpretation tools to identify each segment precisely.

It is in this context that Micropole presents Segmentation.AI, a unique innovation that puts interpretation back at the center of analysis, in a no-code version. Developed in Python, this powerful solution fully exploits French algorithms and know-how in data analysis to produce unsupervised, ready-to-use customer segmentations in record time.

Segmentation.AI lets you focus on what matters: interpretation and analysis, saving time thanks to the no-code features and the many visual tools provided. In addition, its advanced automation allows batch or real-time deployments without any code rewriting.

Discover or rediscover our webinar dedicated to exploratory analyses and segmentation by clicking here.

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