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Stop Making Mistakes with Your Data Governance

By   /  December 30, 2015  /  No Comments

data governance x300Leveraging an enterprise’s data assets in a practical and advantageous means is complicated; a reliable Data Governance program is tantamount to success. According to the article, “data governance is, simply, an organizing framework that aligns strategy, defines objectives, and establishes policies for enterprise information. As promising as that might sound, data governance has failed in more than one well-meaning company because people misinterpreted its meaning, its value, and the shape it would eventually take. Once data governance becomes a dirty word, an organization rarely gets a second chance.”

It continues forward by discussing five major mistakes to avoid when trying to start and run a Data Governance program, including Treating Data Governance as a Project: “In a well-intended effort to fix what’s broken, many companies will announce a data governance “project” with flourish and fanfare. When data governance is formed as a discrete effort, however, instead of being “baked in” to existing processes, it will fail. When an initiative is deemed a project, it is, by definition, finite. The reality of data governance is that it should be continuous and systemic. As information needs change, data volumes increase, and new data enters the organization via new systems or third parties, decisions about how to treat, access, clean and enforce rules about data will not only continue, they’ll proliferate. A structured, formal, and permanent process should be retrofitted into the way a company develops its data and conducts its business.”

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About the author

Charles Roe is the Digital Content Manager at DATAVERSITY. He is responsible for both the article and blogging programs, as well as the DATAVERSITY Training Center. He has been a professional freelance writer and copy editor for more 15 years, and has been writing for the Data Management industry since 2009. Charles has written on a range of industry topics in numerous articles, white papers, and research reports including Data Governance, Big Data, NoSQL technologies, Data Science, Cognitive Computing, Business Intelligence & Analytics, Information Architecture, Data Modeling, Executive Management, Metadata Management, and a host of others. Charles is backed with advanced degrees in English, History, and a Cambridge degree in Language Instruction. He worked for almost 20 years as an instructor of English, History, Culture, and Writing at the college level in the USA, Europe, and Turkey. He writes creatively in his spare time.

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