One of our UK clients gave us their Customer Database to generate insights from it.
Ditching the classical assumption-based Model determination technique of Machine Learning, we conducted Exploratory Data Analysis (EDA) for model suggestion and selection as it was more suitable to our client’s requirements. Our auxiliary advisory provided vivacious and lucidly comprehensible data dashboards as a UI consumption layer for our model. Our advisory contained extensive reports describing the patterns inherent in the client data.
We refined their recommendation engine and helped them understand various customer segments with associated trends and correlations.