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Case Studies

Retail Data Analysis and Prediction

Azure has developed a Analytics platform for EMCEE Pharmaceuticals to find features that mostly impacted the profit /loss of the retailer & run statistical processing and machine learning to find the prediction of sales based on the features.

Key Highlights of the Project

  • Season based workflow where data , model and output are saved in separate project
  • Automated model selection and Training to avoid complex setup procedure
  • Models are saved and Reusable reducing system cost and time of returning.
  • Real time analysis of data which is totally customized as per need.
  • Everything works on server so they can access report anywhere.

Client Name: EMCEE Pharmaceuticals Pvt. Ltd.

Technology Used

Python Elastic Search Kibana