The Procurement Conversation

Big Conversation: Dodgy Data with Susan Walsh and Natasha Brown

January 20, 2024 Season 3 Episode 6
Big Conversation: Dodgy Data with Susan Walsh and Natasha Brown
The Procurement Conversation
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The Procurement Conversation
Big Conversation: Dodgy Data with Susan Walsh and Natasha Brown
Jan 20, 2024 Season 3 Episode 6

This week we’re looking at why Procurement suffers from dodgy data - how it affects the function and what we can do to solve it.

Rich is joined by Susan Walsh - the Classification Guru and Natasha Brown Group Procurement Director of Harland & Wolff.

We cover:

  • 0:46 - Why does Procurement suffer from dodgy data?
  • 10:53 - What are the key steps in cleansing your data?
  • 13:11 - Examples of where poor data has affected procurement decision making
  • 15:43 - Importance of being data driven as a core procurement soft skill
  • 17:46 - AI vs humans in the next phase of data management
  • 21:58 - How do we foster a data driven culture?
  • 25:03 - What advice would you give to Procurement teams that are struggling with legacy data?
  • 29:56 - How do we influence other parts of the business to get the data we need? 
  • 35:43 - The panel's data wishes 
  • 39:00 - Data dumping grounds
Show Notes

This week we’re looking at why Procurement suffers from dodgy data - how it affects the function and what we can do to solve it.

Rich is joined by Susan Walsh - the Classification Guru and Natasha Brown Group Procurement Director of Harland & Wolff.

We cover:

  • 0:46 - Why does Procurement suffer from dodgy data?
  • 10:53 - What are the key steps in cleansing your data?
  • 13:11 - Examples of where poor data has affected procurement decision making
  • 15:43 - Importance of being data driven as a core procurement soft skill
  • 17:46 - AI vs humans in the next phase of data management
  • 21:58 - How do we foster a data driven culture?
  • 25:03 - What advice would you give to Procurement teams that are struggling with legacy data?
  • 29:56 - How do we influence other parts of the business to get the data we need? 
  • 35:43 - The panel's data wishes 
  • 39:00 - Data dumping grounds