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The first step in doing a data classification is to cluster the data set used for category training, to create the wanted number of categories. An algorithm, called the classifier, is then used on the categories, creating a descriptive model for each. These models can then be used to categorize new items in the created classification system. [2]
Business strategy drives selection of business models. These business models drive the design of underlying processes and services. Business Analysis is critical: Any number of models can address a strategic imperative. But the best models, services and processes will exploit existing business capabilities (human, IT and physical), the areas where change is possible and the areas where invest
Data cannot be shared electronically with customers and suppliers, because the structure and meaning of data have not been standardised. To obtain optimal value from an implemented data model, it is very important to define standards that will ensure that data models will both meet business needs and be consistent. [1]
Enterprise modelling is the process of building models of whole or part of an enterprise with process models, data models, resource models and/or new ontologies etc. It is based on knowledge about the enterprise, previous models and/or reference models as well as domain ontologies using model representation languages. [3]
The comparison reveals some differences that can mainly be seen to result from differences in measuring accuracy. It has been possible to develop the productivity model of business so as to be more accurate than that of national economy for the simple reason that in business the measuring data are much more accurate. (Saari 2006b)
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
The history of integrated business planning can be traced back to sales and operations planning (S&OP), a process that balances demand and manufacturing resources. According to Gartner, there is a 5-stage maturity model for S&OP, and in this model, integrated business planning is denoted as Phased 4 & 5. [1]
Business systems planning (BSP) is a method of analyzing, defining and designing the information architecture of organizations. It was introduced by IBM for internal use only in 1981, [ 1 ] although initial work on BSP began during the early 1970s.