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Implementing CSR-related KPIs into Business Intelligence Landscapes
Alxneit T, Knahl MH, Frey-Luxemburger M, Furnell SM
Proceedings of the Seventh Collaborative Research Symposium on Security, E-learning, Internet and Networking (SEIN 2011), Furtwangen, Germany, ISBN: 978-1-84102-295-6, pp1-11, 2011
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This paper will outline some of the main possibilities and research challenges of implementing Corporate Social Responsibility (CSR) indicators (e.g. CO2-consumption and gender balance) in existing Business Intelligence landscapes. The process of reporting CSR data is a legal requirement in some countries, while in other countries its publication is accepted as a useful indicator of the ethical behaviour of companies with respect to their clients or customers. For this reason, many software companies have launched systems to assemble and report CSR data, thereby expanding the market for such software. For example, one year ago, SAP launched the Sustainability Performance Manager system to facilitate tracking of CSR data. However, from the author’s point of view, this data can be treated much like any other company data (financial data, HR-related data, etc.) and, as such, it may make sense to integrate this data into existing business intelligence landscapes.

With regards to industry practice many companies try avoid the effort associated with using their Business Intelligence platforms to integrate such data and implement special CSR solutions. However, there remain a few companies who desire to use their data warehouses as “single sources of truth” and, therefore, implement support for CSR data.

Alxneit T, Knahl MH, Frey-Luxemburger M, Furnell SM