Het is misschien wel een van de meest gehoorde termen binnen organisaties die datagedreven willen worden: het datawarehouse. Het klinkt ingewikkeld en complex. Maar is het dat ook? In dit blog geven wij antwoord op al je vragen!

Forward-thinking organizations understand the importance of digital transformation. Fewer, however, are aware of the essential role that data management plays in achieving it. Here, we’ll explore the synergy between these concepts and dive into the detail of establishing a solid data foundation.

When companies contemplate carrying out a digital transformation by implementing new Big Data technology and Data Centric models, they face a variety of challenges that require planning, defining objectives, decision making and assessing results.

In this post, we are going to explain how this process unfolds with a success story: the story of one of the most important multinational insurers in the country, Caser.

Organisaties maken steeds meer de transitie naar een data driven organisatie, en werken dus datagedreven. Maar wat houdt datagedreven werken nu precies in? En misschien nog wel belangrijker; waarom zou je datagedreven werken?

It’s a familiar headache: Rapidly compiling data in multiple formats makes it difficult to grasp how it’s built up, what it means, and how you can use it. The solution is three-sided. Create a data dictionary to catalog and describe your data, compile a business glossary to define your business terminology, and unite them to make business decisions based on accurate data insights. Below, we’ll outline what a data dictionary and business glossary can do for your company, as well as how to set them up.

Data dictionaries and business glossaries explained