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Landing Data Science Projects: The Art of Change Management & Implementation

Landing Data Science Projects: The Art of Change Management & Implementation

FromDataCafé


Landing Data Science Projects: The Art of Change Management & Implementation

FromDataCafé

ratings:
Length:
30 minutes
Released:
May 31, 2022
Format:
Podcast episode

Description

Are people resistant to change? And if so, how do you manage that when trying to introduce and deliver innovation through Data Science?In this episode of the DataCafé we discuss the challenges faced when trying to land a data science project. There are a number of potential barriers to success that need to be carefully managed. We talk about "change management" and aspects of employee behaviours and stakeholder management that influence the chances of landing a project. This is especially important for embedding innovation in your company or organisation, and implementing a plan to sustain the changes needed to deliver long-term value.Further reading & referencesKotter's 8 Step Change Plan Armenakis, Achilles & Harris, Stanley & Mossholder, Kevin. (1993). Creating Readiness for Organizational Change. Human Relations. 46. 681-704. 10.1177/001872679304600601. Lewin, K (1944a) Constructs in Field Theory. In D Cartwright(Ed):(1952) Field Theory in Social Science: Selected Theoretical Papers by Kurt Lewin. London: Social Science Paperbacks. pp30-42Lewin, K. (1947) ‘Frontiers in Group Dynamics: Concept, Method and Reality in Social Science; Social Equilibria and Social Change’, Human Relations, 1(1), pp. 5–41. doi: 10.1177/001872674700100103.Some links above may require payment or login. We are not endorsing them or receiving any payment for mentioning them. They are provided as is. Often free versions of papers are available and we would encourage you to investigate.Recording date: 10 February 2022
Released:
May 31, 2022
Format:
Podcast episode

Titles in the series (26)

Welcome to the DataCafé: a special-interest Data Science podcast with Dr Jason Byrne and Dr Jeremy Bradley, interviewing leading data science researchers and domain experts in all things business, stats, maths, science and tech.