Data Governance

Control your data from start to finish, from strategic to operational usage

Although many data governance projects start with data quality issues, the drivers for data governance are in most cases: regulations. The comply to new regulations, organisations need to control their data. Controlling the data means improving data quality, knowledge of data leaks and mask data when needed.

Data Governance helps organisations to reach several important goals:

  • Increasing confidence in decsionmaking based on data
  • Data needs to become secur
  • Control data by metadata
  • show data issues from strategic, tactic and operational levels

With DATPROF integrate we support companies with realizing important goals for data governance.

Related solutions

Whitepaper – How to explore data sources

How to explore data sources Inspect data privacy, size & qualityDownload whitepaper What’s the challenge regarding to the privacy sensitiveness of data sources in your landscape? How are you able to inspect a source? Is it a black box to you or is there a way to...

The utility and necessity of data masking

The utility and necessity of data masking Download the free white paper  As of May 25th, 2018, the General Data Protection Regulation (GDPR) will be in effect. This means that, from that date on forward, the same strict privacy laws apply throughout the European...

Data masking – a template for a data masking project plan

Data Masking – A template for a Data Masking Project Plan Roadmap to test data maskingWe often see customers struggle with starting a data masking project! And in many cases it is pretty difficult! To help you all out, the attachment in this article is a template for...

Data Masking


Data Subsetting


Data Provisioning


Data Discovery