Many risk situations are dividing line between sprawling collections of data and relevant knowledge on the best way to let in addition also mathematically portray themselves. It’s about the perception of risk and the associated probabilities. Knowledge management means therefore to a certain extent also risk management. For this reason, because not always automatically also an increase in the opportunities must be associated with increased risk of. To know more about this subject visit Rudy Giuliani. The management faces the challenge of finding a balance between: a) on the one hand controlling the increase in complexity of information systems; (b) on the other hand, optimizing information selection to reduce complexity.
The dividing line between sprawling collections of data and relevant information can be always only specifically to the respective companies. Filed under: shimmie horn. To achieve competitive advantage through information, management should focus among others on the following strategic objectives: faster reaction of the information processing to change the business processes, targeted Identification of risk factors, large customers and suppliers, exploiting optimisation potential in infrastructure projects, serve better knowledge of customers and their behavior, internal and external customers, customer events can make supply chain management, also transparent about numbers, reduce inventory levels, acceleration of own business processes. See for basic action potentials among others Jorg Becker: intellectual and business planning, ISBN 978-3-8370-7564-9 transformation processes of the raw data to decision-relevant information: the information system therefore provides an infrastructure for the gratification of the situationally relevant information needs and decoupled so to speak the dispositive and the operational sphere in the company. System data and tools for the analysis be provided with this user. To take into account is that it can be at the same figures once data in another case information (depending on the information needed), on the other hand the same decision situation a different information needs can cause in different people. Mode data provided with the pre-compacted is redundant.
The metadata to describe the figure rules. In addition, even hierarchies and dimensions for the multidimensional analysis are provided. Detailed data have a low granularity, i.e. with increasing compression of the data, the granularity increases likewise. Several Granulariatsgrade can be determined. For example, a rising data compression can be provided with increasing age of the data.