Big data presents significant business opportunities when leveraged properly, yet it also carries significant business and technology risks when it is poorly governed or managed. In an increasingly data-driven business world, big data takes operational analytics and a 360-degree view of customers to a new level. The great promise and relevance of new big data is that it can be leveraged in innovative ways to develop new insights, which in turn contribute to organizational growth, competitiveness, and operational excellence.
One of the challenges to achieving these valuable goals is that traditional platforms and tools are not designed for new big data. Another challenge is to capture and use big data to create business value but within the guidelines of external regulations and internal policies for data usage, privacy, and security.
Successful user organizations manage the technology and business risks of new big data by depending on the best practices of data governance and on functionality within modern data management tools that support these practices. This report examines six of the most pressing issues in governing various types of new big data, including both old and new platforms (including Hadoop) and both operational and analytics use cases.
Sponsored by Talend
Individual, Student, and Team memberships available.