Data Scrubbing

  The hype around data is hardly news. It is a critical part of a business and rightly so. It is the ultimate competitive differentiator and referred to as the new oil of the world that of course, can’t be used raw and needs to undergo various processes of refinement such as data scrubbing, cleansing, and modification. Poor quality data remains the major challenge, and as per the Data Quality Market Survey, 2017 report by Gartner, poor data costs businesses approximately $15 million yearly. However, it is not a direct financial loss but several indirect and discrete impacts on business processes causing the dent on the business value such as loss in reputation. A higher-risk decision due to poor quality of data and missed opportunities- hitting the businesses where it hurts most. Poor data not only means financial impact but also results in an overall lack of brand value. It is the Achilles’ heel that makes even the massive organizations crumbling down to their knees. Eighty-four perce