by Angela Guess
Elbert Hearon writes in Datanami, “Big data means that once minute bad data problems now become magnified as big problems that can cause flaws with the very analytical results that were painted as one of the values of big data. As the proliferation of data continues, it is very important for organizations to get data management right. IT needs to wrap its head around big data, from start to finish. Data volume continues to grow, and new and third party data sources pose an abundant challenge to information technology leaders. To meet this challenge, IT leaders must equip themselves with a plan, one that spans across the entire enterprise and breaks down the walls between departments.”
Hearon goes on, “IT must think bigger and manage the flow of data within the entire organization. By adding data analytics and data integrity to instinctual decision-making, an organization that combines its business and IT departments can rise above itscompetitors, especially as data quality improves and analysis becomes more advanced. This collaboration of the business and IT departments may elevate the role of data officer to the C-suite. The Chief Data Officer will be the catalyst for change to the wide spread adoption of enterprise data governance to elevate data from a tactical to a strategic asset that is used for competitive advantage. This seems so simple, but why isn’t it? Bad data can easily take you off course. Big data means that once small bad data problems now become big problems, causing flaws with the very analytical results that were considered virtues of big data. On top of that, the IT department and business department typically are not working together to fix these issues.”
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