Case study: Using predictive analytics to deliver personalized CX

Delivering a Personalized Banking Experience for 4.5 Million Customers

Cover

mBank, a bank based in Poland, needed to respond quickly to customer needs, gain insights into customer preferences to support a customer-centric banking experience across all channels, and improve marketing and discount programs.

This case study explores how they leveraged SAP Predictive Analytics to apply predictive models to its data to gain valuable insights.

Discover how their investment enabled them to:

  • Reduce chum and grow revenue by automating campaigns
  • Increase sales efficiency and reduce the cost of sales
  • And more
Vendor:
SAP
Posted:
14 Nov 2017
Published:
14 Nov 2017
Format:
PDF
Length:
3 Page(s)
Type:
Case Study
Language:
English
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