What are some of the tools and technologies used for Cyber Protection?

As in case of any other program, cultural differences and silo-ed approaches to data acquisition and management create barriers in forming and sustaining a Data Governance program along with the lack of sustained senior business sponsorship. An improper foundation and absence of metrics are other reasons of a Data Governance fail. A proper foundation includes: proper data management, data models, metadata, etc. Fundamentally, a strong foundation of what needs to be governed is the most basic requirement for Data Governance.

An organization cannot be transformed overnight, especially in a labor-intensive program such as Data Governance. Expecting a radical change from a ‘no-program’ stage to an ‘enterprise-wide’ program in a few months is an unrealistic expectation and can lead to Data Governance failure. Underestimating the amount of work to be done, over-planning and less execution, lack of a sustained line/business commitment and absence of program staff/office also are some contributing reasons for Data Governance to fail. Planning, scoping and executing a Data Governance program can be challenging, it can therefore be done in stages to achieve the desired outcomes.