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Authors: Samuel Fosso Wamba (TBS - Toulouse Business School); Shahriar Akter (University of Wollongong)
Originally published in: 2017
Revision date: 13-Nov-2017
Length: 22 pages
Data source: Field research

Abstract

The NSW State Emergency Service (SES) is an emergency and rescue service in Australia dedicated to assisting the community. It consists of more than 10000 volunteers across 229 units in the New South Wales. Using digital transformation and big data analytics (BDA), the NSW SES provides real time services to the people in the region on flood, tsunami, storm and rescue operations (eg, road accident, vertical rescue, bush search etc). The better management of emergency operations requires NSW SES to integrate multiple sources of data (structured and unstructured) across multiple platforms and agencies. However, this transformation poses a new question for the company: How to redesign the technology platform? How to embed analytics into processes? How to empower people with solid insights? The case examines these initiatives which helped NSW-SES to reap the benefits from BDA.

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Abstract

The NSW State Emergency Service (SES) is an emergency and rescue service in Australia dedicated to assisting the community. It consists of more than 10000 volunteers across 229 units in the New South Wales. Using digital transformation and big data analytics (BDA), the NSW SES provides real time services to the people in the region on flood, tsunami, storm and rescue operations (eg, road accident, vertical rescue, bush search etc). The better management of emergency operations requires NSW SES to integrate multiple sources of data (structured and unstructured) across multiple platforms and agencies. However, this transformation poses a new question for the company: How to redesign the technology platform? How to embed analytics into processes? How to empower people with solid insights? The case examines these initiatives which helped NSW-SES to reap the benefits from BDA.

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