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Big Data Sustainability: An Environmental Management Systems Analogy

14 Pages Posted: 18 Jan 2016 Last revised: 1 Jun 2016

Dennis D. Hirsch

Ohio State Moritz College of Law; Capital University Law School

Jonathan H. King

Washington University in St. Louis - School of Law

Date Written: December 10, 2015

Abstract

Today, organizations globally wrestle with how to extract valuable insights from diverse data sets without invading privacy, causing discrimination, harming their brand or otherwise undermining the sustainability of their big data projects. Leaders in these organizations are thus asking: What management approach should businesses employ to sustainably achieve the tremendous benefits of big data analytics while minimizing the potential negative externalities?

In this paper we argue that leaders can learn from environmental management practices developed to manage the negative externalities of the industrial revolution. First we show that, along with its many benefits, big data can create negative externalities that are structurally similar to environmental pollution. This suggests that management strategies to enhance environmental performance could provide a useful model for businesses seeking to sustainably develop their personal data assets. Second, we chronicle environmental management’s historical progression from a back-end, siloed approach to a more collaborative and pro-active “environmental management system” approach. An approach modeled after environmental management systems – a Big Data Management System approach – offers a more effective model for managing data analytics operations to prevent negative externalities. Finally, we show that a Big Data Management System approach aligns with: A) Agile software development and Dev Ops practices that companies use to develop and maintain big data applications, B) best practices in Privacy by Design and engineering and C) emerging trends in organizational management theory. At this critical, formative moment when organizations begin to leverage personal data to revolutionary ends, we can readily learn from environmental management systems to embrace sustainable big data management from the outset.

Keywords: Big Data, Privacy, Data Protection, Analytics, Governance, Management, Environment, Dev Ops, Agile Development, Privacy By Design, Lean

Suggested Citation

Hirsch, Dennis D. and King, Jonathan H., Big Data Sustainability: An Environmental Management Systems Analogy (December 10, 2015). Washington and Lee Law Review, Vol. 72, No. 3, 2016; Ohio State Public Law Working Paper No. 348. Available at SSRN: https://ssrn.com/abstract=2716785 or http://dx.doi.org/10.2139/ssrn.2716785

Dennis Hirsch

Ohio State Moritz College of Law ( email )

55 West 12th Avenue
Columbus, OH 43210
United States

Capital University Law School ( email )

303 East Broad St.
Columbus, OH 43215

Jonathan King (Contact Author)

Washington University in St. Louis - School of Law ( email )

Campus Box 1120
St. Louis, MO 63130
United States

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