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2019 | OriginalPaper | Chapter

6. Importance of Project Management in Business Analytics: Academia and Real World

Authors : Samir Shah, Alexander Gochtovtt, Greg Baldini

Published in: Aligning Business Strategies and Analytics

Publisher: Springer International Publishing

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Abstract

Project management constitutes a powerful lever as organizations face increasing pressure to manage projects to budget, on time, and deliver more insights, in less time and with rapidly increasing amounts of data. This is critical especially in business analytics, with more than75% of organizations planning big data investments over the next several years. But the manipulation of massive amounts of data presents challenges – budgetary, time constraints, execution, proper manager skillsets, and such like. These challenges have cramped recent project rollouts, as only 37% of organizations have deployed big data projects in the past year; this suggests that filling the gap between data and insight remains a substantial hurdle as well as evolving need of project management for such projects. This chapter offers real-world examples of how project management professionals tackle big data challenges in a rapidly evolving, data-rich environment. Simultaneously, it establishes a bridge between business and academia as they both recognize the joint necessity to develop highly trained project managers to utilize the powerful and cutting edge analytical tools available to create value.

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Literature
go back to reference Hendershot, S. (2016). Data done right: Learning to target the right type of data can uncover insights that drive project success. PM Network, 30(3), 40–45. Hendershot, S. (2016). Data done right: Learning to target the right type of data can uncover insights that drive project success. PM Network, 30(3), 40–45.
go back to reference Kisielnicki, J., & Misiak, A. M. (2016). Effectiveness of agile implementation methods in business intelligence projects from an end-user perspective. Informing Science: The International Journal of an Emerging Transdiscipline, 19, 161–172.CrossRef Kisielnicki, J., & Misiak, A. M. (2016). Effectiveness of agile implementation methods in business intelligence projects from an end-user perspective. Informing Science: The International Journal of an Emerging Transdiscipline, 19, 161–172.CrossRef
go back to reference Thomke, S. (2003). Experimentation matters: Unlocking the potential of new technologies for innovation (pp. 97–98). Boston: Harvard Business School Press. Thomke, S. (2003). Experimentation matters: Unlocking the potential of new technologies for innovation (pp. 97–98). Boston: Harvard Business School Press.
go back to reference Viaene, S., & Van den Bunder, A. (2011). The secrets to managing business analytics projects. MIT Sloan Management Review, 53(1), 65–69. Viaene, S., & Van den Bunder, A. (2011). The secrets to managing business analytics projects. MIT Sloan Management Review, 53(1), 65–69.
Metadata
Title
Importance of Project Management in Business Analytics: Academia and Real World
Authors
Samir Shah
Alexander Gochtovtt
Greg Baldini
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-319-93299-6_6

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