In this article, Robert Seiner talks about the difference between the states of data anarchy and governance. Seiner points to the large amounts of personal data that each of us generates, often without being aware of doing so, and the state of anarchy in which this data exists. This state of affairs exists similarly for business data. Seiner distinguishes between data anarchy and data governance as follows:
- There is no clearly defined formal accountability for the definition, production, and use of data.
- There is no one responsible for overseeing subject matters of data as a cross-business asset.
- There is no formal process for escalating data issues to a strategic level that makes decisions.
- There are irresponsible investments and management of high profile data-related projects.
- There are inefficient/ineffective processes associated with leveraging data for decision-making.
- People that handle data are uncertain of the rules associated with sensitive data.
- People that [sic] define, produce, and use data are held formally accountable for following the documented and communicated rules associated with defining, producing and using the data.
- There are people that have the responsibility for managing data across business areas, business functions, and major data integration projects.
- There is formal accountability for following an agreed upon process to escalate data issues to the appropriate level of the organization.
- Investments and high-profile data integration projects are strongly vetted with an intent focus on the data requirements of the organization.
- Business and technical processes associated with managing data are formalized, and people are held accountable for following the processes.
- People that [sic] handle the data are well-versed and audited in following the rules associated with protecting sensitive data.
Seiner suggests that many organizations are in a state of data anarchy: The truth is that many organizations know what they want but they don’t know how to get it. Organizations must move from data anarchy to data governance if they want to get the most value out of their data. It’s all in the data.