Organizations are struggling to reduce and right-size their information foot-print, using data governance techniques like data cleansing and de-duplication. Why is this effort necessary? Briefly explain.

The effort is necessary in making sure that the data is meaningful, correct, and timely. Many analysts are increasingly focused on quality on a per-attribute basis instead of a per-report basis. This will avoid excess control of access and instead focus on meaning. A data-driven organization that includes a comprehensive data cleanup is able to make informed choices that maximize value on strategic investments.