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Application of Big Data and Machine Learning to Business

Goals

  • Train a bank’s Customer Intelligence team in Big Data analysis in order to incorporate greater amounts of data into current analysis processes using the appropriate languages and technologies
  • Focus on Machine Learning techniques and the Python language to incorporate transactional data into predictive customer behaviour modelling
  • Apply these technologies to practical cases with real data, together with the internal team

Data

  • Clients
  • Banking products
  • Cards
  • Transfers
  • Socio-demographic information

Analytics

  • Machine learning and statistical modelling algorithms
  • Big Data technologies for creating analytical boards and models
  • Python
  • Apache Spark

Business

  • Development of cross-selling models for savings and investment products
  • Target market selection for marketing campaigns

Results

  • Increase of approximately 15% in the ROC and lift in the first decile of new models
  • Improved timing and frequency of execution of predictive models

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