Can Big Data Analytics Enhance Performance Measurement Systems?

RAQUEL GAMA SOARES DE MELLO · Roberto Antônio Martins

31 citations0/0 files storedIEEE Engineering Management Review

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Big Data and Business Intelligence Accounting and Organizational Management AI and HR Technologies

Abstract

Performance measurement systems are a critical element of managing performance. Despite the potential of big data analytics (BDA) to improve performance measurement systems (PMSs), its real impact is still not entirely clear. This paper investigates the potential of BDA to enhance PMSs. We use two short case studies to investigate such impact. The results show that descriptive and predictive analytics boost performance analysis. The use of external non-structured data challenges the companies regarding the data veracity. Business and operations management professionals should pay attention to both the employees' capability in data science and data management. They are critical issues when seeking to enhance PMS using BDA.

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References

1992The balanced scorecard : measures that drive performance 2016Big data analytics in logistics and supply chain management: Certain investigations for research and applications 2011Performance Measurement: Challenges for Tomorrow*2007Towards a definition of a business performance measurement system 2016Big Data and supply chain management: a review and bibliometric analysis 2015Big data analytics: a literature review 2017A bibliographic study on big data: concepts, trends and challenges 2018A decision theory perspective on complexity in performance measurement and management

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