Designing of a model for strategic information system: a case study of PSPCL’s distribution network

Abstract

In order to exist in the present dynamic world organizations are utilizing the concept of information systems. But with the changing scenario the whole approach of using the information system has changed. In order to fully reap the benefits of the information systems, organizations cannot afford to simply implement any information system in their present set up. Moreover the information systems are not playing a supporting role in the organization rather information systems have taken the driver?s seat. The success or failure of any organizations is dependent on the effective utilization of information systems. Information systems have come long way from simple Transaction Processing Systems to Strategic Information Systems. This study focuses on the designing of Strategic Information System for Distribution network of PSPCL. Electricity is the most vital input in the development of the economy. Electricity is required for each economic activity whether that activity is from agriculture, manufacturing, commerce or even the booming service sector. It will not be wrong to say that progress of any country depends on the availability of the sufficient electricity. But it is well known fact that there is acute shortage in electricity in India. Distribution reforms have been identified as the key area in the power sector reforms process as maximum revenue loss is occurring in this part of electricity industry. For the success of this process, reliable and sufficiently detailed data must be provided to facilitate decision making process in all the activities of the Distribution network. Controlling cost, improving efficiency and reducing commercial losses has become essential for a utility in order to be successful in the highly competitive environment. With the complex geographically diverse networks having number of spur lines and alternative feeds from the different sources, the creation, the updating and management of distribution data is a challenge.