Data governance is the missing bridge between the business and the information technology teams, when it comes to issues related to data quality and security. The problem is, technology teams are not sensitive enough to the contents of data, and business teams struggle to understand the technology systems that manage their data.

The missing link is data governance. However, building data governance competencies within organizations require dedicated efforts. To begin with, we need to first build an enterprise data governance framework, which involves the following steps:

Data Governance Strategy

Data governance strategy defines the broad areas of data governance functions and elaborates the principles and the policies that need to be followed while managing data for each of the data governance functions.

Data Governance AS – IS Processes

It is necessary to understand the existing set of processes that are followed to manage enterprise data, and various stakeholder involved. This also involved identifying gaps and pain areas in the current process.

Data Governance Strategic Blueprint

A strategic data governance blueprint includes scenario based processes for each function of data governance, and roles and responsibility of the actors that should be involved in carrying out the activities. It also articulates the need of various systems that will be used to support the data governance activities.

Data Governance Roadmap

A data governance roadmap articulates the sequence in which data governance will be implemented based on business priorities and time / cost constraints. It also involves identifying various dependencies for implementing the governance strategy and accordingly provides an optimized sequence of activities.

Data Governance System Requirements

System requirements for supporting data governance activities are handed over to the information technology teams, who design the blueprint of data governance systems and ensure that it is well integrated within the overall enterprise data architecture.

Data Governance Audits

Data governance audits ensure that the governance of data within the enterprise is happening as per the strategy, and any exceptions are tracked and monitored to manage the risks. They also ensure compliance to various industry and regulatory requirements.