data model

4月 062018
 

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 [...]

SAS 360 Discover: Enhance your marketing automation platform was published on Customer Intelligence Blog.

12月 142016
 

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 […]

Drivers for the digitalization of insurance was published on SAS Voices.

4月 082016
 

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 […]

The post Advantages of a standard insurance data model appeared first on The Analytic Insurer.

3月 162016
 

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.