In the first three articles of the series we drilled down to Data Management and Data Quality as the basis for fraud detection analytics, to Business Rules and Watch lists techniques that play always a crucial role for claim handlers and fraud investigators and to Advanced Analytics which add a
We all know that when customers are interested in a new product or service that you offer, digital channels are most often their first, and probably unique, point of interaction. What if every time customers interacted with you, they got exactly what they needed, with minimal effort? Marketers should use
One of the most frequent questions I’m asked by my students is which business analytics books to read to support their professional self-development. It is always hard to pick out the best books, especially because I like to mix classics and domain-specific references. I particularly like those that influence business
After the financial crisis of 2008, concerns have been raised about “too little, too late” provisioning for loan losses and IFRS 9 is coming to enforce the adoption of a new expected credit loss (‘ECL’) model for the measurement and recognition of impairment. This aims to address concerns and accelerates
This is the third of the seven parts of blog post series “A practical guide to tackle auto insurance fraud”. In the first two articles of the series we drilled down to Data Management and Data Quality as the basis for insurance fraud detection analytics and also to the Business
In a previous blog article, Risk Data Aggregation and Reporting – Why now more than ever? – Part 1, I have discussed the requirements of the paper of the Basel Committee numbered 239 and one of the reasons the execution or application of the principles discussed therein is important for
This is the second of the seven parts of blog post series “A practical guide to tackle auto insurance fraud”. While Data Management and Data Quality are the basis for every analytical journey, and this becomes even more true for fraud detection analytics, the domain knowledge and business expertise plaid
GDPR, or the European General Data Protection Regulation, will be upon us in just 15 months’ time. Companies not just in Europe but around the world are preparing for it, because it affects any personal data held about any European customer, no matter where a company is based. But how
Digitalization - the move towards a more digital world - is a well-established phenomenon. But the digitalization journey is not the same in every sector. Traditional practices, available skills and competitive forces are creating a new set of dynamics in the credit risk sector. Providers are coming under significant pressure
Welcome to the 1st practical step for tackling auto insurance fraud with analytics. It is obvious why our first stop relates with data, the idiom “the devil is in the details” can easily be applied in the insurance fraud sector as “the devil is in the data”. This article analyses
