As a records analyst big data is of particular interest to me because of how so many of the same principles apply to managing data. Managing records falls under the umbrella of information governance and managing big data falls under the umbrella of data governance. Information governance deals with business intelligence and how that business intelligence justifies what records need to be managed, where it needs to be managed and for how long. Data governance deals with business intelligence and how business intelligence tells us what patterns to look for in data, how it should be warehoused and used proactively and for how long.

Information Management has an excellent article by Krish Krishnan entitled “Data Governance for Big Data.” In this article he looks at several data governance concepts and how they apply to big data. As I read the article it totally validated why the information professional role is so crucial in today’s world of information/data governance. Someone solely in records management might not see the connections these data governance terms have with their field and vice versa in terms of how someone in data management might not see how these terms are interchangeable with records management concepts.

Some of the terms Krishnan discusses in his article are data stewardship which in records management speak is custodianship. Another example is data lifecycle management which records managers have been talking about for years as records lifecycle management. Metadata management is another data governance concept that comes into play big time for records managers when creating retention schedules, file plans and thesauri. In data governance there is risk and cost containment which is often times a huge driver for records management. Definitely a lot of interchangeability here and probably a ton that records managers and data managers can learn from each other as they both have new challenges with electronically stored information and big data.