The Data Analytics Blog

Our news and views relating to Data Analytics, Big Data, Machine Learning, and the world of Credit.

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Six Steps To Enhance Your Customer Loyalty Programmes

February 27, 2015 at 1:47 PM

Bizcommunity Coverage: customer loyalty programmes

Coverage in Africa's largest publication for Marketing and PR professionals: BizCommunity. Lauren Barbour, Lead Consultant for Loyalty Analytics at Principa, shares her insights with delegates attending Principa and Forrester Research's CX / Loyalty joint-event on the use of data and predictive analytics by South Africa's leading brands to enhance their loyalty programmes. Read the full article here.

Use Customer Data to build a loyalty or rewards programme

Latest Posts

How Machine Learning Is Transforming Medicine

At Principa, we are passionate about new ideas and product development.  20% of our revenue is ploughed back into innovation.  One of our key areas of focus is machine learning where we have built machine learning solutions in both collections and the customer acquisition space.  While our focus is primarily on credit risk and customer engagement, we are always interested in how machine learning has gained traction in other industries.

Welcom Digital And Principa Announce Partnership To Create End-To-End Credit Management Solutions

Cape Town, South Africa – Welcom Digital, a UK company specialising in Loans management software, and Principa, a South African data analytics company, are delighted to announce a new strategic reseller partnership that includes the resale of Welcom Digital’s Award winning Loan Management product Financier™ to the South African market and reciprocally, Welcom Digital will market Principa’s specialised credit risk software solutions to the UK market.  

Eight Questions On The Gini-Coefficient

Whether you’ve been involved in introducing models into your business or have had a passing interest in economic affairs, you may have come across the term “Gini-coefficient”. This blog hopes to demystify the concept and give you a good deal of information on the statistical measurement. We answer: