Relating Big Data Business and Technical Performance Indicators

The use of big data in organizations involves numerous decisions on the business and technical side. While the assessment of technical choices has been studied introducing technical benchmarking approaches, the study of the value of big data and of the impact of business key performance indicators (KPI) on technical choices is still an open problem. The paper discusses a general analysis framework for analyzing big data projects wrt both technical and business performance indicators, and presents the initial results emerging from a first empirical analysis conducted within European companies and research centers within the European DataBench project and the activities of the benchmarking working group of the Big Data Value Association (BDVA). An analysis method is presented, discussing the impact of confidence and support measurements and two directions of analysis are studied: the impact of business KPIs on technical parameters and the study of most important indicators both on the business and on the technical side, for specific industry sectors, with the goal of identifying the most relevant design and assessment criteria.

[1]  Matthias Lange,et al.  An empirical analysis of the factors and measures of Enterprise Architecture Management success , 2016, Eur. J. Inf. Syst..

[2]  Z. Hoque.  20 years of studies on the balanced scorecard: Trends, accomplishments, gaps and opportunities for future research , 2014 .

[3]  Roger H. L. Chiang,et al.  Big Data Research in Information Systems: Toward an Inclusive Research Agenda , 2016, J. Assoc. Inf. Syst..

[4]  Steven De Haes,et al.  Developing a Value Management Capability: A Literature Study and Exploratory Case Study , 2015, Inf. Syst. Manag..

[5]  Detmar W. Straub,et al.  How Information Technology Governance Mechanisms and Strategic Alignment Influence Organizational Performance: Insights from a Matched Survey of Business and IT Managers , 2015, MIS Q..

[6]  Varun Grover,et al.  Creating Strategic Business Value from Big Data Analytics: A Research Framework , 2018, J. Manag. Inf. Syst..

[7]  George Westerman,et al.  Measuring IT Performance and Communicating Value , 2011, MIS Q. Executive.

[8]  Geoffrey C. Fox,et al.  Towards a Comprehensive Set of Big Data Benchmarks , 2014, High Performance Computing Workshop.

[9]  Daniel Pakkala,et al.  Reference Architecture and Classification of Technologies, Products and Services for Big Data Systems , 2015, Big Data Res..

[10]  Pih-Shuw Chen,et al.  A study of enterprise resource planning (ERP) system performance measurement using the quantitative balanced scorecard approach , 2016, Comput. Ind..

[11]  Puneet Gupta,et al.  Evolving a pervasive IT infrastructure: a technology integration approach , 2004, Personal and Ubiquitous Computing.

[12]  Jan vom Brocke,et al.  The Effect of Big Data and Analytics on Firm Performance: An Econometric Analysis Considering Industry Characteristics , 2018, J. Manag. Inf. Syst..