The Data Analytics Blog

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

All Posts

The Transformation Of Training Methodology With Data Science

August 29, 2018 at 1:38 PM

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.

But after the course is complete, employees go back to the office, often not having the tools to implement the knowledge in reality or having too little knowledge or recall of the material that was taught. For employers, the return-on-investment (ROI) on these courses are very low, if measured by knowledge gained or impact in the workplace. Instead, the success of these training initiatives is most frequently measured by merely attending until completion or by passing the exam at the end of the course. If the training can be ticked off as done, both employees and their line manager often view it as successful, offering little incentive to these employees to engage and retain knowledge further than the last day of the course.

Due to the lack of repetition of information, up to 80% of course material could be lost within the first month after training, and corporates have no way of measuring how much of the knowledge gained can be applied in the daily lives of their employees.

Why is this happening?

When you consume information for the first time, whether it be through audio or visual uptake, your brain’s neurons fire and bind for the first time. This creates short-term memories and short-term recollection. Your neurons need to be stimulated with information multiple times before short-term information is transferred into your long-term memory and long-term recollection is enabled.

As seen in the graph below, the Ebbinghaus forgetting curve illustrates how information is lost over time if no repetition has been done. If the information is not repeated, 40% of new information is lost within 20 minutes of first hearing it, with up to 80% lost within the first month and as much as 95% after two months. This makes it nearly impossible to remember anything that was not repeated. Long-term memories take time to develop, and numerous iterations, but if done well, it can result in significantly improved information retention.

Retention % over time, showing how ineffective traditional corporate training courses are

If your employees complete a course and never repeat the course material, your ROI after just one month diminishes to 20%.

What’s the alternative?

Measuring individual learner’s knowledge of course materials before and while they are learning and utilising learning algorithms to create unique repetition cycles of key information, generates a tailored learning experience for each learner. This approach has proven to result in the retention of up to 95% of the information presented in a course.

Graph showing % of data remembered with each repetition of data

With technology that was built on neuroscientific methodologies, content is delivered in manageable learning portions and is presented based on a unique learning curve tailored to the knowledge levels of each learner, transforming course material into permanent knowledge.

This repetitive training approach is made accessible through a digital platform that can be accessed at any time through a PC, Laptop, Smartphone etc.

With the information learnt turned into long-term knowledge the learner will be able to return to their work environment fully equipped to implement the best practice techniques and strategies covered in the courses.

The Principa Academy: Wisdome

We're excited to say that we will soon be launching the first of Wisdome's new online training courses on a new eLearning platform which drives the repetitive methodology.

Wisdome will focus on providing best practice training in collections management, credit scoring, credit management and risk management in the credit risk management arena.

Our experienced industry-leading consultants have developed these courses, and the course modules will cover topics that are focused on practical industry issues, which include credit scoring, best practices in credit risk management, optimising portfolio profitability, collections management and bad debt provisioning techniques and strategies. The courses expose learners to a series of case studies and exercises, all based on international best practice.

Find out more about Wisdome’s first available courses on the eLearning Platform.

Contact Us to Discuss Your data analytics Business Requirements

Perry de Jager
Perry de Jager
Perry has been involved in Collections and Recoveries for the past 22 years, spending time in different market segments ranging from law firms to investment companies. At Principa, Perry has worked on extended projects within both South Africa and the Middle East with some of the largest financial organisation, providing on-site consulting within the collections and recoveries space covering strategy, process, people and technology.

Latest Posts

Principa Partners with Astra Constantine to Deliver Psychometric Solutions to Credit Grantors

Customers Can Predict Outcomes by Adding the Power of Psychometrics to Credit Determination

Solving the Credit Unaware Challenge with Psychometrics

At Principa, we engage with clients and organisations across the entire credit lifecycle and track the focus of the South African credit industry. For nearly ten years the focus has consistently been in the collection space, but recently (since early 2021) this has changed and a large number of our clients are focused on acquisitions and originations.

Predicting Customer Behaviour (PART 2)

In Part One of this two-part blog, we started providing a short overview of just some of the propensity models that Principa has developed. In this Part Two, we continue to look at different types of propensity models available across the customer engagement lifecycle that are used to predict behaviour and solve business problems.