Dmitry V. Isaev  - Associate Professor, Department of Business Analytics, National Research University Higher School of Economics   
Address: 20, Myasnitskaya Street, Moscow, 101000, Russian Federation.   
E-mail: disaev@hse.ru

      The paper focuses on the questions of infological modeling of performance management systems (PMS), which represent the means of information support of strategic management and help to eliminate the gaps between strategic and operational management levels. Infological models of performance management systems include such elements as information flows, external information objects, functional blocks, functional modules, analytical functions, as well as methods, information systems and processes of management information processing.
      It is preferable to develop individual infological models for particular organizations relying on reference models, by individualizing them and detailed elaboration. Among the reference models, there is a basic (generic) infological model that represents the most common characteristics of all the enterprises and organizations, regardless their types and industry affiliation.   
      The procedure of transition from the basic infological model to an individual model includes four stages.
      In the first stage, detailed elaboration of enlarged information flows is performed: each of the enlarged information flows is subdivided into more detailed flows, taking into consideration the peculiaritiesof a concrete organization. The detailing is provided taking into account types and sources of information, as well its affiliation with particular divisions, business segments and geographical segments. In the second stage, relationships between inputs and outputs of functional modules are discovered. Relying on such relations, preliminary (necessitating additional specification) analytical functions are established. In the third stage, the processes of collection, storage and processing of management information that are available within preliminary analytical functions are defined. Finally, in the fourth stage, the final versions of analytical functions are created by detailing and re-organization of previously defined preliminary functions.
      The paper also indicates the possibility of an alternative approach, where developing an individual model starts with the definition of analytical functions.