DATA, ANALYTICS & LOYALTY
Case studies: | STRANDS | MENIGA | PERSONETICS | OPENTEXT |

A common theme in this report is the evolution of personal financial management apps into business financial management apps as smartphones have become essential business tools for SMEs. It's fascinating to see where the main players in data analytics and recommendation engines come from.

WHO IS THIS REPORT FOR?
This report is for small and medium business lenders. Once you've acquired new clients through digital channels, how can you make sure to offer them the best services? We look at a handful of players who have transformed their offerings through judicious use of analytics and machine learning to improve customer loyalty – and we see that the results often speak in a bank's Net Promoter Score.

TABLE OF CONTENTS:

Introduction

• Mimetic processes and recommendations
• The bank advantage: customer trust and customer data
• Money is the number one cause of human worry

Case study: Strands
Service: Big data analytics, machine learning, artificial intelligence
Offices: Barcelona, Spain

Case Study: Meniga
Service: Personal and business financial management and loyalty software Reykjavik, Stockholm.
Offices: Barcelona, London, Warsaw, Singapore

Case study Personetics
Service: Data analytics, machine learning, financial management apps
Offices: Tel Aviv | London | New York

Case study: OpenText
Service: Enterprise content management
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