A balanced scorecard approach for evaluating the utility of a data warehousing system

Abstract

From time to time, on a regular basis, companies often plan and implement internal measurement processes of quality of service and information of their computer systems. These processes are very important for ensuring user confidence in the operation of their systems and consequently on the information they extracted and used from them. In all activities related to decision-making, it is important to ensure that systems supporting such activities, such as data warehousing systems, guarantee a good quality of service and provide data accordingly the needs of decision makers. Most company managers are concerned how to monitor and ensure that their business objectives, strategies and methods will be achieved adopting and using a balanced scorecard solution. In this work, we present and discuss how we can use such kind of approach for monitoring and optimizing the utility of a data warehousing system. We approached the problem defining some of the most conventional perspectives used on balanced scorecards solutions, namely financial, customer, internal processes, and learning and growth, applying them with the goal to measure and optimize the degree of utility of a specific data warehousing system.