Introduction

In the first paper in this mini-series we defined what data governance is, looked at why it is necessary and then discussed three key elements that need to be in place to lay the foundations of any data governance initiative. These three elements are:

1. Data governance processes
2. A technology platform for data governance
3. A set of data governance services that automate run-time data governance processes for master and transactional data in order to formally govern this data, no matter where it is used in the enterprise.

In this paper we will focus on the last of the three key foundational elements – the set of data governance services that execute on the data management platform to explore, analyse, improve and monitor data. In particular, we will discuss how data governance services can be systematically deployed in layers so that re-use of data services can guarantee consistency when automating the tasks needed to formally govern data on an enterprise-wide basis. The purpose of these services is to accelerate the time to production and guarantee rock solid master and transaction data throughout the enterprise.

Having understood the approach to implementing data governance services we will then look at how one vendor, DataFlux, is shipping pre-built services called DataFlux Accelerators to address the data governance problem.