Exploratory analyses and segmentations: even in AI, vintage is good!
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, it's all about programming!
Data analysis methods (essentially PCA) are seen as methods for calculating and reducing dimensions.
Clustering techniques available in open source packages can be used to add a column to the dataset, attributing to each individual (customer, file, patient, transaction...) the segment to which it belongs.
If you don't program it: no graphs, no interpretation aids to establish the profile of each segment... with rare exceptions.
Micropole is pleased to invite you to an exclusive webinar to present our latest innovation: Segmentation.AI, a no-code software solution that puts interpretation at the heart of analysis.
Segmentation.AI, developed in Python, uses all the power of French algorithms and data analysis know-how to build and industrialize unsupervised customer segmentations in record time.
What are the strengths of the solution? :
- Enable you to concentrate on interpretation and analysis, saving precious time thanks to the no-code and numerous graphics and interpretation aids supplied as standard.
- Automate deployments in batch or real-time mode without rewriting code.
On the programme:
- Overview of solution functionalities (factorial analysis, clustering, deployment)
- Demonstration of a customer case study
- Real-life use cases (customer knowledge, risk, fraud, etc.)
Register for our webinar on October 22 at 11:00 a.m. and don't miss this unique opportunity to discover how Segmentation.AI can transform your perception of your customers and give you the inputs you need to better interact with them.
