The Data Analytics Blog

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

Statistical Models Vs Machine Learning Models - What's Your Flavour?

We are quite proud of the ability to develop performant, stable and trustworthy predictive models here at Principa. For nearly 20 years, we have been developing predictive models that have helped so many of our clients to make better decisions, more often than not outperforming what our best competitors can achieve. The models that we have historically developed can be categorised as part of the additive group of models – that is, a handful of predictive characteristics are selected and classed in a way that best separates the ‘goods’ from the ‘bads' (i.e. the traditional binary classification application). Depending on the new unseen data, the resulting weightings are then added together to get a final score. For example, consider a 3-feature model that uses only Home Ownership, Years at Employer and Age. Let's say you are a homeowner and for this you get 10 points, you have been with your employer for 5+ years (15 points), and you are 23 years of age (8 points), then your final score is 33, and the strategy will use this score and decide where you should go in the business decision tree.

Where To Learn Essential Data Science Skills Online

The value and benefits of becoming a data scientist or picking up basic data science skills, cannot be overstated in today’s world. Businesses across all industries are starting to embrace data analytics and those who aren’t will soon feel the advantage gained by their competitors who are.

[Slideshare] How To Improve Your Call Centre Agent Performance

How To Improve Your Call Centre Agent Performance from PrincipaDecisions

What We Learned At The 7th Annual CEM Africa Summit

When we initially committed to being sponsors and exhibitors at the CEM Africa Summit, our team was very excited. Not only would we have a space on the floor that would give us the opportunity to meet and connect with attendees, but we’d also have the chance of exploring the sessions at this prestigious summit ourselves.

The Transformation Of Training Methodology With Data Science

Learning rarely stops after your formal education ends, whether you’re pursuing further learning out of personal interest, career-aspiration or it’s mandated by your company. Most companies offer funding and support for their employees to go on courses to keep their skills up to date or learn new skills. Companies spend millions every year on enabling employees to participate in physical, often off-site training, and the costs can cover training fees, training material, travel and accommodation.

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