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Scott Taylor, “The Data Whisperer” and Principal Consultant of MetaMeta Consulting, shares techniques for communicating the value of data in a business context. He emphasizes simplifying complex data concepts to align with business goals, advocating for clear communication, the avoidance of technical jargon and the use of relatable analogies. From practical strategies for engaging C-suite leaders to insights on navigating AI-driven challenges, Scott offers actionable advice for data practitioners looking to bridge the gap between technical expertise and business outcomes.
Key Takeaways:
(03:24) Two types of data storytelling: one for analytics and one for data management.
(05:30) Truth in data must come before deriving meaning from it.
(08:10) Avoid buzzwords and focus on vocabulary the business understands.
(12:21) Listen to earnings calls or strategy meetings to learn your company’s objectives.
(17:23) Master data is foundational to delivering business value at scale.
(22:17) Use industry-specific analogies to clarify data’s impact.
(26:42) Poor data management can amplify errors in AI-driven systems.
(28:04) Master data challenges exist in every industry and era.
(33:19) Developing storytelling skills is essential for career growth.
Resources Mentioned:
Scott Taylor -
https://www.linkedin.com/in/scottmztaylor/
MetaMeta Consulting -
https://www.linkedin.com/company/metametaconsulting/
"Telling Your Data Story" by Scott Taylor -
https://www.metametaconsulting.com/the-book
Thanks for listening to the “Data Masters Podcast.” If you enjoyed this episode, be sure to subscribe so you never miss our latest discussions and insights into the ever-changing world of data.
#DataStrategy #DataManagement #DataMastersPodcast
5
1010 ratings
Scott Taylor, “The Data Whisperer” and Principal Consultant of MetaMeta Consulting, shares techniques for communicating the value of data in a business context. He emphasizes simplifying complex data concepts to align with business goals, advocating for clear communication, the avoidance of technical jargon and the use of relatable analogies. From practical strategies for engaging C-suite leaders to insights on navigating AI-driven challenges, Scott offers actionable advice for data practitioners looking to bridge the gap between technical expertise and business outcomes.
Key Takeaways:
(03:24) Two types of data storytelling: one for analytics and one for data management.
(05:30) Truth in data must come before deriving meaning from it.
(08:10) Avoid buzzwords and focus on vocabulary the business understands.
(12:21) Listen to earnings calls or strategy meetings to learn your company’s objectives.
(17:23) Master data is foundational to delivering business value at scale.
(22:17) Use industry-specific analogies to clarify data’s impact.
(26:42) Poor data management can amplify errors in AI-driven systems.
(28:04) Master data challenges exist in every industry and era.
(33:19) Developing storytelling skills is essential for career growth.
Resources Mentioned:
Scott Taylor -
https://www.linkedin.com/in/scottmztaylor/
MetaMeta Consulting -
https://www.linkedin.com/company/metametaconsulting/
"Telling Your Data Story" by Scott Taylor -
https://www.metametaconsulting.com/the-book
Thanks for listening to the “Data Masters Podcast.” If you enjoyed this episode, be sure to subscribe so you never miss our latest discussions and insights into the ever-changing world of data.
#DataStrategy #DataManagement #DataMastersPodcast
3,132 Listeners