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You are viewing ARCHIVED CONTENT released online between 1 April 2010 and 24 August 2018 or content that has been selectively archived and is no longer active. Content in this archive is NOT UPDATED, and links may not function.Extract from article by Jon Pilkington
Data security and information governance are critical responsibilities of an IT team, especially when it comes to business intelligence (BI) and analytics strategies. But IT’s goals, needs and objectives as it relates to big data usage are at a stark contrast to their business user counterparts, who, thanks to the self-service movement, require agility and open access.
Business users tasked with analyzing big data to help their companies make timely and more meaningful decisions require immediate access to a wide variety of sources, including multi-structured, semi-structured and unstructured repositories. But IT professionals, who are the ones with their feet to the fire when it comes to data governance and protection, would rather make information available on an as-needed basis.
IT’s concerns around data security and governance are perfectly understandable given that much of the data needed for analysis contains unprotected personally identifiable data (e.g., Social Security numbers), sensitive personal data (e.g., medical records) and commercially sensitive data. And recent research by the Association of Corporate Counsel found that a significant number of corporate data breaches (30 percent) are due to employee error. With the insider threat so prominent in organizations across industries, making information widely available to business users can be a frightening concept.
A major divide exists within many organizations between the governance, automation and scalability needed by IT and the ease of use and flexibility business users demand – and it can no longer be ignored. But what’s to be done?
Read the complete article at With a Simple Mask, Your Data Becomes the Governance Superhero