Without effective data governance and data management, big data can mean big problems for many organizations already struggling with more data than they can handle. That “lake” they are building can very easily become a “cesspool” without appropriate data management practices that are adapted to this new platform. The solution? Firms need to actively adapt their data governance and data management capabilities – from implementing to ongoing maintenance. Here are 10 steps to follow on that data journey to smarter, faster business decisions and results that big data can empower.

Too often, data governance is primarily focused only on inbound data quality improvements, with no proactive stewardship, such as cataloging incoming data feeds, defining data standards and ensuring transparency of business rules to maintain lineage. The result can be that downstream analytic environments still receive inconsistent data.  Avoid this problem with good onboarding processes and follow up ensure data is properly cataloged and easily discoverable and establish simple easy to follow methods to ensure your users are part of the governance process and contribute their knowledge to the effort. Data governance is more than a small group of people tasked with making sure that the quality of data coming into the organization is good. It’s an enterprise effort where many can contribute.

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