In May of 2016, I expressed my personal excitement for the release of SAS 360 Discover to the SAS platform, and the subject of predictive marketing analytics. Since then, I have worked with brands across industries like sports, non-profits, and financial services to learn about valuable use cases. Before diving [...]
The insurance industry is becoming increasingly focused on the digitalization of its business processes. There are many factors driving digitalization, but it’s clear that a reliable and meaningful database is the basic prerequisite successful digitalization strategy. Insurance companies are increasingly prioritizing digitalization, not because this issue is currently "in," but […]
In my first blog article I explained that many insurance companies have implemented a standard data model as base for their business analytics data warehouse (DWH) solutions. But why should a standard data model be more appropriate than an individual one designed especially for a certain insurance company? Besides faster […]
Nothing works today without an efficient data management – also in insurance business. A standard data model can be an important component of it. This article explains why. “Make or Buy”? This question has been raised very often by insurance companies planning to introduce a consistent data structure – a […]
The post Faster, easier, safer: a standard data model for insurance appeared first on The Analytic Insurer.