Data Management

Data Management

We are in a new age, where todays digitalization has taken us to a new level, giving enterprises enormous amounts of data to process. The time has come for you to get access to your gold mine, but it will not be without challenges.

What is data management?

There are many definitions, though keeping it simple. Data Management is defined by collecting, storing, organizing and analyzing structured and unstructured data in a secure way. Easy said, but complicated to master and therefore you must build an enterprise that masters it all.

There are different types/areas of data management.

• Master Data
• Data Quality
• Data Control
• Data Governance & Stewardship
• Data Security & Risk
• Data Warehouse

These are not separate areas and they often blend into each other. Master data makes sure there is a single version of truth, which requires governance. Enterprises must develop data policies for their stewards to enforce and maintain. Quality management must in turn ensure data to be accurate and reliable. On top of this security must guard the data against theft and other types of unauthorized access including accidental deletion or corruption of data. Finally, data warehouse management, will collect/aggregate data for analyzes for supporting strategic business decisions.

All will prove to be big challenges to every company, and these challenges must be handled to retain a competitive edge in any data-driven industry with increasing competitiveness.

Acquisitions, new initiatives, demands for self-service, IoT, predictive analysis, reorganizations, structured data, unstructured data, internal and external. The speed of change is increasing and adoption is essential for survival. It is time to get complete picture on a granular level.

This is where we can help you.