Introduction

In the first and second papers in this mini-series we defined what data governance is, and why it is necessary. We then we looked at data governance foundations and presented a cyclic methodology for building data services associated with master and transaction data. In that methodology, we looked at defining common enterprise wide data names and data definitions for master and transaction data. This is known as a shared business vocabulary (SBV).

From this vocabulary data models are built and disparate data identified and mapped to the SBV. Once this is done, disparate data can be profiled and analysed to determine the quality of the data. From here, run-time data services can be built to clean, integrate and enrich the data before serving it up to applications processes and portals or loading it into data warehouses and master data management systems. The data services are used in batch, on demand and on an event-driven basis to enforce data governance throughout the enterprise.

Finally, to make sure that data remains in a high-quality state, we can monitor it and either correct it automatically or alert people to take corrective action if it the data being monitored falls below agreed quality levels. This third paper in the Accelerating Enterprise Data Governance series looks in detail at what one vendor, DataFlux, is delivering in the way of pre-built services to expedite the time to implement enterprise data governance.