The Data Analytics Blog

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

All Posts

Our 2017 Top Blogs: Data Science

December 15, 2017 at 3:01 PM

Data science continues to be a hot topic in many large firms globally.  2017 saw data science subjects such as R vs. Python, deep learning, natural language, gamification, AI and machine learning being arguably the most topical.

We continue to be passionate about this rapidly evolving world and as it’s the end of the year we’ve decided to look back at our top data science blogs of the year.  We are running a series of these retrospective assemblies of blogs having previously looked back at our best Machine Learning blogs and thereafter our Credit Risk blogs.

If you missed them during the year, I hope you enjoy them now.

The Four Types of Data Analytics

Simplistically, analytics can be divided into four key categories. In this blog post, we focus on the four types of data analytics we encounter in data science: Descriptive, Diagnostic, Predictive and Prescriptive.

Read more

The Seven Logical Fallacies to Avoid in Data Analytics

“Lies, damned lies and statistics” is the frequently quoted adage attributed to former British Prime Minister Benjamin Disraeli. The manipulation of data to fit a narrative is a very common occurrence from politics, economics to business and beyond.

In this blog post, we'll touch on the more common logical fallacies that can be encountered and should be avoided in data analysis.

Read more

What is Mathematical Optimisation and How Does It Benefit Business?

The word optimisation is used quite loosely and can relate to many different areas.  For example, there is search engine optimisation (getting your website pages to the top of online search results), process optimisation (making existing processes more efficient), code optimisation (making your code run more efficiently) and then there is mathematical optimisation.

In this blog post, we'll be focusing on mathematical optimisation: what it is, how it can be applied in making more optimal business decisions at a customer level, and specifically how it's applied in credit risk.

Read more

Things You Wanted to Know About Mathematical Optimisation, but were Afraid to Ask

Today we explore some of the frequently asked questions around mathematical optimisation.  For the most part the questions are answered in the context of credit risk.  However mathematical optimisation and operations research in general have many applications.

Read more

If your new year’s resolution is to implement machine learning and data science to your business area, Genius might be for you. Genius uses machine learning to provide advanced decisioning and answers for specific areas of your business. If you need a business question answered by machine learning, find out more by clicking below, or get in touch with us.

Learn more about our Insights-as-a-Service analytics engine, Genius.

Thomas Maydon
Thomas Maydon
Thomas Maydon is the Head of Credit Solutions at Principa. With over 13 years of experience in the Southern African, West African and Middle Eastern retail credit markets, Tom has primarily been involved in consulting, analytics, credit bureau and predictive modelling services. He has experience in all aspects of the credit life cycle (in multiple industries) including intelligent prospecting, originations, strategy simulation, affordability analysis, behavioural modelling, pricing analysis, collections processes, and provisions (including Basel II) and profitability calculations.

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: