BI programs in general, and Data Governance programs in particular, have a poor track record of success. The ways to fail are countless, but to succeed you must not only have strong strategy, planning and execution - but you must deliver value quickly enough to generate interest (and resources) to reach critical mass. The challenge is far less technically-complicated than it is about complex organizational change - and people-based systems are a notoriously difficult upgrade!
To succeed in your company's Data Governance efforts, the most important component is balance - in tools, responsibilities, techniques, and even paperwork! Even the best-intended and logically-designed governance program can lose its balance quickly if not carefully guided. This session will be most helpful to those just getting started on the journey.
This session will highlight:
- Why Data Governance is really all about letting people know when it is their turn to make decisions
- Data Governance's relationship to other data management disciplines (metadata, master data, data quality, etc.)
- Traps that organizations tend to fall into while getting started
- Changing the Data Governance mindset from administration (i.e. "friction") to enablement (i.e. "impact")
- Determining which complementary data management tools to focus on first
- Why being "done" with Data Governance is like being "done" with HR