Articles: information management
Author: Mark Davis
Leaders for the next decade have a responsibility to effectively manage their organisation's information, and accept that technology should remain subservient to the resolution of corporate problems. Today's commercial environment is evidence that the traditional attitude to the processing of information using information technology, is no longer effective as the exclusive support to an organisation's operation. The sheer mass and nature of documentation that can be collected demands a standard of information control. The implementation of a focussed standard is needed to allow leaders to achieve information relevancy, reliability, and integrity to facilitate the communication of reliable strategic guidance to management.
Paradigms can establish standards for organisations to process information. A model needs to relate to the corporation's resource requirements and communicate the method to allow an understanding of the mission and common goal. For instance, information-processing paradigms ought to consist of a number of functions performed in a logical flowing manner with success being dependent on each function. The preparatory step in adopting a constructive information-processing paradigm is to use the module or method from the system to manage an appraisal of the available data. This would allow a decision to be made as to whether a commitment is required to budget resources for unique problems. If, as a consequence of an assessment on accessible information, a decision is made to commence the analysis of data, objectives can be identified and the process can commence.
Information processing can be effectively performed in an iterative fashion. At any time during the sequence of processing data there needs to be scope to return to the commencement or subsequent phase, and repeat the process as the information and resource deficiencies are identified. In broad terms, a paradigm can extend an orderly approach to institute a consummate data control strategy at the outset, and thereafter, develop automated systems to support the data control theory.