A Framework to Manage Data Science Initiatives

Abstract

Data is increasingly ubiquitous in organizational life and Data Science Initiatives (DSIs) have emerged as a popular mechanism for extracting value from it. However, the track record of these programs has drawn substantial criticism. For example, the success rate of delivering DSIs is not perceived as high with Walker (2017) quoting Gartner estimates that 85% of projects fail. DSIs have unique characteristics and pose challenges delivering the envisaged value when using traditional processes for managing ICT-enabled programs. Mathur, Sankaran, and MacAulay (2020) found there are occasions when DSIs should be managed as Exploratory Projects. In this paper, we review the related delivery frameworks and propose a framework synthesizing program management, change management, DevSecOps, data management, and data science domains. The framework covers people and processes and specifically excludes products and technologies. The framework may enable consistency in how practitioners plan and execute the initiatives potentially leading to an improvement in the success rate of DSI implementations.

Presenters

Sandeep Mathur
Industry Fellow, Faculty of Design, Architecture and Building, University of Technology Sydney, New South Wales, Australia

Details

Presentation Type

Paper Presentation in a Themed Session

Theme

2021 Special Focus - Preparing Organizations for New Digital Futures: New Rules of Engagement for the Fourth Industrial Revolution?

KEYWORDS

Exploratory-Projects, Program-Management, Change-Management, DevSecOps, Data-Management, Data-Science

Digital Media

Videos

A Framework To Manage Data Science Initiatives Mathur (Vid)

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M21P110 - A Framework to Manage Data Science Initiatives - Mathur (PDF)

Organisational_Studies_-_DSI_Delivery_Framework_Poster.pdf