Teradata Corporation announced that Mzinga(R) is using the Teradata Aster SQL-MapReduce(R) framework to analyze social interactions on a large scale. The analyses help ensure deeper insight into the most influential users and hottest topics within Mzinga OmniSocial(R) online communities, which in turn can be leveraged to reward advocates, drive up user engagement and learn which initiatives and conversations are most relevant to achieving a variety of business goals. Mzinga's flagship suite, OmniSocial, enables organizations to create end-to-end collaborative and social experiences for their employees, customers, partners and prospects. This provides insights including the identification and impact of community influencers and evaluation of the popularity of specific types of content. These insights can be leveraged to further personalize user experiences, increasing user time on the platform and resulting in a sharper competitive edge for sponsoring organizations. Mzinga is using multiple Aster SQL-MapReduce analytic modules including Aster nPath which allows pattern analysis via a single pass over the data, and modules for easily clustering of items into natural segments, as well as graph functions to identify and weight social connections. Each function built on Aster's analytic platform further enables Mzinga to process large volumes of multi-structured data such as user comments as well as run advanced analytics in-database to deliver faster, deeper insights without the need to extract or sample data to run analytics on a separate tier. The power and scalability of Teradata platforms support businesses of every size whose increasingly complex business demands are driven by robust growth requirements and the emerging need for pervasive business intelligence.