sponsored by IBM
Posted:  21 Aug 2012
Published:  07 Aug 2012
Format:  PDF
Type:  White Paper
Language:  English

Failure to address performance and scalability at the outset of a business analytics deployment can result in costly complications later. According to a recent study by Clabby Analytics, there are several fundamental principles to consider when it comes to the acquisition and deployment of information systems that run fluctuating analytics workloads.

For example, there are six classes of business analytics applications – and each class puts a different processing/data handling demand on the underlying systems and infrastructure. Clabby Analytics defines these classes as follows:

  • Deep analytics
  • Operational analytics
  • Pre-defined reporting
  • Ad-hoc queries
  • On-line analytical processing (OLAP)
  • Advanced analytics.

Read this paper for a closer examination of the processing requirements of each type of business analytics application and discover why an integrated infrastructure is vital to a successful analytics deployment project. In addition, gain insight into the essential factors to consider when evaluating various business analytics systems.

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