Tag: data management

Data Management
Hartmut Schroth 0
Drivers for the digitalization of insurance

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 for a successful digitalization strategy. Insurance companies are increasingly prioritizing digitalization, not because this issue is currently

Data Management
Tom Davenport 0
5 steps to analytic modernization

Some organizations I visit don’t seem to have changed their analytics technology environment much since the early days of IT. I often encounter companies with 70s-era base statistical packages running on mainframes or large servers, data warehouses (originated in the 80s), and lots of reporting applications. These tools usually continue

Data Management
Matthew Magne 0
What can a garage storage system, kayak and surfboard teach you about data modernization?

Two years ago, I found myself the proud, first-time owner of a garage. My wife and I quickly started to add new items to the garage – a battery-powered lawn mower, two beach cruisers and four Tommy Bahama beach chairs. They were stored with ease. What a fantastic world I'd been missing out on. But it wasn't long before we outstripped our

Customer Intelligence | Data Management
Mike Blanchard 0
How customer intelligence can win hearts and minds

In today’s digital age, products have become increasingly commoditised, requiring organisations to shift their focus towards ensuring the customer experience becomes their biggest differentiator. Previously, the customer experience journey was a string of static, one-dimensional encounters. But now, thanks to big data and the resulting innovations it can provide, customer

Data Management
Jim Harris 0
Modernization and data-driven culture – Part 2

Modernization is a term used to describe the necessary evolution of information technologies that organizations rely on to remain competitive in today’s constantly changing business world. New technologies – many designed to better leverage big data – challenge existing data infrastructures and business models. This forces enterprises to modernize their approach to data

Data Management | Programming Tips
Mary Kathryn Queen 0
Using Multiple Quality Knowledge Base Locales in a DataFlux Data Management Studio Data Job

In DataFlux Data Management Studio, the data quality nodes (e.g., Parsing, Standardization, and Match Codes) in a data job use definitions from the SAS Quality Knowledge Base (QKB).  These definitions are based on a locale (Language and Country combination).  Sometimes you would like to work with multi-locale data within the

Hartmut Schroth 0
Data Governance by a Standard Data Model for Insurance

  Using a standardized data model is an essential condition to achieve data governance in an enterprise. A standard data model supports data governance processes by implementing industry standards wherever possible: standards for contract and claims representation, mapping of data content with standard definitions (glossary function), use of code attributes

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