The Application And Research Of Information Resource Planning In Enterprise Dashboard Project

With the rapid development of information technology, there are more and more requirements for enterprise information system construction and management. Under more and more intense competition, enterprises have to adapt to changes of market environment quickly, and to learn business operation status on time.Information resource planning is the overall planning of information collection, processing, transmission and utilization. It is based on theory of information engineering and data management to solve the problem of system integration or system rebuilding. The purpose of digital dashboard is to provide critical operation data in time, and to support managers making decision and analyzing through dashboard showing information centrally.One large IT corporation has constructed many business information systems for customer service system in many years. However, no holistic planning was applied during the construction process. These information systems have influenced each other and have poor stability. Data transmission between them was very complicated. This paper is about the new digital dashboard project for this corporation, which rebuilt IT architecture and constructed KPI (Key Performance Indication) digital dashboard illustration system. Firstly, the theory and relation of information resource planning and digital dashboard are introduced. Secondly, the present status of information system of customer service and the requirements of digital dashboard project are analyzed. Thirdly, the model of information resource management is built; the IT architecture of customer service system and the relation between data are redesigned; basic data are integrated and unified; An integral KPI system from data pump, data scrubbing, data transformation to data analysis are set up by evaluating and adopting some technologies and tools such as Sagent and Brio. The application is normalized and the running cost is decreased. The system provides an application platform for multi-dimensional data analysis and it is easy to develop further business intelligence applications.