Development of performance indicators through cost driver identification : an IT department case study

Sammanfattning: The costs of information technology (IT) in large multinational companies (MNCs) often constitute a significant portion of the company’s total yearly turnover. IT departments are on one hand expected to return value to business, but are on the other hand often prone to cost reductions. Thus, it is not unusual that IT management chooses to focus on cost cutting rather than cost control in order to meet the company’s financial targets. Understanding cost drivers in IT is not always evident, making it difficult for managers to know what performance indicators that should be tracked. This study addresses the issue of cost control and performance measurement in IT departments, in the form of a case study carried out at the IT department of a large Swedish MNC in the telecommunications industry. The case company is divided into two parts: Enterprise and Engineering, where Enterprise provides the organization with IT in form of printers, personal computers, applications, IT support and communication services through network infrastructure and voice. Engineering provides research and development units with software development infrastructure and testing environments for products. The testing environments comprise of both software testing through simulations and hardware testing in physical labs. By carrying out interviews with managers and key people responsible for large budget items, 130 cost drivers were identified. After reducing recurring cost drivers and merging similar ones, the cost drivers were filtered according to quantifyability. In a second step, performance indicators were developed using the SMART model and then scored with respect to cost impact and ease of implementation. This resulted in a recommendation of 49 performance indicators to be tracked across the entire IT department. A sample of recommended performance indicators is total cost of wages / number of employees, number of virtualized servers / total number of servers and amount of video related traffic / total capacity of bandwidth. The ambition of this study is to provide a holistic way of controlling cost drivers through prioritized performance indicators. Even though this case is specific to an IT department, the approach in this research may well be applied in other departments and industries.