Bottom-up planning approaches in enterprise modelling—the need and the state of the art
Computers in Industry - Special issue: co-operation in manufacturing systems, CIM at work
Modeling Multidimensional Databases, Cubes and Cube Operations
SSDBM '98 Proceedings of the 10th International Conference on Scientific and Statistical Database Management
The internal information of IBM
IBM Systems Journal
Competing on Analytics: The New Science of Winning
Competing on Analytics: The New Science of Winning
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The importance of strategic planning is universally recognized in the business world as an effective approach to enable achievement of enterprise business objectives over long time periods. However, despite the criticality of the task, the strategic planning process often does not take advantage of analytics to support the process in a consistent way. This paper describes a transformation of the strategic planning process for a globally integrated enterprise through development of a planning system that provides a planning framework as well as a set of analytic capabilities to improve both efficiency and effectiveness. The system consists of a hierarchically structured data store, rules that govern relationships among data elements, and an enterprise dashboard with reports and insights supported by analytic capabilities. The hierarchical nature of the planning model can account for the needs and opportunities of individual lines of business while yielding a coherent, executable strategy at the enterprise level. Integrated scenario and sensitivity analysis, enterprise simulation, and other analytic capabilities enable optimal planning in the face of volatile and uncertain market conditions characteristic of a long planning horizon. In addition, the system fosters collaboration among planners and exemplifies the key attributes of a Smarter Planet™ instrumentation, interconnectedness, and intelligence.