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

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 & references

• Kotter'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. pp30-42
• Lewin, 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

Send us a text

Thanks for joining us in the DataCafé. You can follow us on twitter @DataCafePodcast and feel free to contact us about anything you've heard here or think would be an interesting topic in the future.