Case Study One

Case Study One – Customer retention and product optimization for retail customers | Multinational EMEA Bank

Problem Statement

Recommend strategy based on data analytics models to increase Retail Banking liabilities portfolio.

Statistics

Features

Customer Deposit Optimization

By analysing customer and transaction pattern and generating a score to indicate account activity

Air Tight Security

Highly secure clusters to identify preferred channel and identify likelihood of customer movement to self-serve channels

 

Self-Serve Dashboards

  • Spend Categorization
  • Affordability
  • Customer Segmentation
  • Channel Activity Analysis

Key Highlights

  • Open Source software was used to make sure that the product is cost effective
  • Set up of the infrastructure enabled advanced analytics and cost reduction opportunities
  • Provided segmentation of customers by analysing product holdings, spending patterns, payments and transfers
  • Ingested and cleaned data of 400 thousand active customers with roughly 70 million transactions over 18 months’ time

Examples

Self-Serve Insights dashboard

  • Term deposit duration and renewal
  • Behavioural segmentation
  • Customer profiling
  • Channel and purpose profiling per segment
  • Feature usage per channel