May 2013
Sponsored by International Business Machines
Operational analytics has become a mandatory competence for modern business.
This paper outlines the business value and technological foundations of operational analytics in a manner that is accessible to the business-savvy IT professional and the computer-aware business manager. A well-integrated, highly cohesive and easily extensible platform to enable operational analytics is defined and shown to be an evolution of well-tried and tested data warehouse technologies.
Abstract
Operational analytics has become a mandatory competence for modern business. As big data moves from hype to value, as the market demands ever faster and more accurate responses to opportunities and threats, operational analytics is becoming the foundational technology for near real-time decision making and action taking.
This paper outlines the business value and technological foundations of operational analytics in a manner that is accessible to the business-savvy IT professional and the computer-aware business manager. The evolution of the concept, bridging business needs and technology capabilities, is outlined. The business drivers for immediate, detail-level decisions and actions are provided; and the broad value shown in sample implementations.
We explore the need for a well-integrated, highly cohesive and easily extensible platform to enable the level of performance required. This platform is shown to be an evolution of well-tried and tested data warehouse technologies, combined with more recent developments.
Finally, we discuss the IBM offerings for operational analytics. We focus on the capabilities of IBM InfoSphere Warehouse and associated components as a software base to meet the needs of a full-fledged implementation. And we briefly explore deployment options such as IBM PureData Systems for Operational Analytics that make such an environment available to businesses of every size and across all industries..
In short, operational analytics–from A to Z.
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