This is the seventh and last part of the blog post series “A practical guide to tackle auto insurance fraud”. In the first six articles of the series we drilled down to: Data Management and Data Quality as the basis for fraud detection analytics. Business Rules and Watch lists techniques
Tag: tackling auto insurance fraud
This is the sixth of the seven parts of blog post series “A practical guide to tackle auto insurance fraud”. In the first five 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
This is the fifth of the seven parts of blog post series “A practical guide to tackle auto insurance fraud”. In the first four 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
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
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
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
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
I am more than glad to invite you to join me in a series of posts related to a practical guide for tackling auto insurance fraud in the new era of data science and advanced analytics. Insurers are used to face a constant threat, a powerful enemy that never rests.