Start Date
11-12-2016 12:00 AM
Description
Across industries, the increasing availability of sensor data has created business opportunities for the application of analytical information systems. We shed light on the analytics implementation in practice in the context of a case study in the power sector. Following a design science approach, we present a case study on the implementation of a decision support system (DSS) for grid planning at a large utility. Given the very large number of grids, process automation through analytics promises significant efficiency gains for labor-intensive planning tasks. We demonstrate how the DSS leads to process improvements regarding speed, accuracy, and flexibility. Apart from the benefits for the company, this work contributes to IS practice by deriving general lessons for IS executives facing analytics challenges.
Recommended Citation
Gust, Gunther; Flath, Christoph; Brandt, Tobias; Ströhle, Philipp; and Neumann, Dirk, "Bringing Analytics into Practice: Evidence from the Power Sector" (2016). ICIS 2016 Proceedings. 8.
https://aisel.aisnet.org/icis2016/Practice-OrientedResearch/Presentations/8
Bringing Analytics into Practice: Evidence from the Power Sector
Across industries, the increasing availability of sensor data has created business opportunities for the application of analytical information systems. We shed light on the analytics implementation in practice in the context of a case study in the power sector. Following a design science approach, we present a case study on the implementation of a decision support system (DSS) for grid planning at a large utility. Given the very large number of grids, process automation through analytics promises significant efficiency gains for labor-intensive planning tasks. We demonstrate how the DSS leads to process improvements regarding speed, accuracy, and flexibility. Apart from the benefits for the company, this work contributes to IS practice by deriving general lessons for IS executives facing analytics challenges.