This brief guide demonstrates through facts and examples that many organizations' concerns surrounding the arrival of voluminous amounts of data sets, the inclusion of many more users and the addition of variable data types are vastly over-exaggerated. It sets out to prove that concerns raised about big data and how it can undermine an analytics data warehouse's performance and scalability are unfounded.

It also offers insight on how companies have successfully extended analytics deep into their operations across a range of industries. Perhaps most important, though, are the case studies presented on the significant ROI of analytics within enterprises, especially those dealing with growing data sets, expanding user populations, differing data types, rising workloads and increasing ad hoc queries.