The outcome of any big data analytics project is only as good as the quality of the data being used. As big data analytics solutions have matured, the quality and trustworthiness of the data sources themselves are emerging as key concerns. Although organizations may have their structured data under control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM’s StoredIQ solution.

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