CFO 4.0

177. Data-Driven Decisions: Insights from 'Winning with Data Science’ with Howard Friedman and Akshay Swaminathan

May 21, 2024 Hannah Munro Episode 177
177. Data-Driven Decisions: Insights from 'Winning with Data Science’ with Howard Friedman and Akshay Swaminathan
CFO 4.0
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CFO 4.0
177. Data-Driven Decisions: Insights from 'Winning with Data Science’ with Howard Friedman and Akshay Swaminathan
May 21, 2024 Episode 177
Hannah Munro

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Join Hannah Munro in this episode of CFO 4.0 as she delves into the power of data science with Howard Friedman and Akshay Swaminathan, authors of "Winning with Data Science." This episode is packed with expert insights on how CFOs and finance leaders can leverage data to make smarter decisions and drive their organisations forward.
 
In this episode:

  • Learn the essentials of data science and how it can influence decision-making processes in business.
  • Howard and Akshay share their diverse experiences and paths to becoming data science experts.
  • Techniques and tools that can enhance accuracy in forecasting future business needs.
  • Discussing the practical application of AI and machine learning in business settings and their real-world efficacy.
  • How to handle and interpret data correctly, avoiding common pitfalls like biases and misinterpretation.
  • Strategies for integrating data science into business operations to improve outcomes and efficiency.
  • Concrete advice for CFOs on implementing robust data-driven strategies within their organisations.

Links mentioned:


Show Notes Chapter Markers

Send us your thoughts

Join Hannah Munro in this episode of CFO 4.0 as she delves into the power of data science with Howard Friedman and Akshay Swaminathan, authors of "Winning with Data Science." This episode is packed with expert insights on how CFOs and finance leaders can leverage data to make smarter decisions and drive their organisations forward.
 
In this episode:

  • Learn the essentials of data science and how it can influence decision-making processes in business.
  • Howard and Akshay share their diverse experiences and paths to becoming data science experts.
  • Techniques and tools that can enhance accuracy in forecasting future business needs.
  • Discussing the practical application of AI and machine learning in business settings and their real-world efficacy.
  • How to handle and interpret data correctly, avoiding common pitfalls like biases and misinterpretation.
  • Strategies for integrating data science into business operations to improve outcomes and efficiency.
  • Concrete advice for CFOs on implementing robust data-driven strategies within their organisations.

Links mentioned:


Transforming Finance With Data Science
AI, Bias, and High-Quality Data
Navigating AI and Data Challenges
Improving Forecast Accuracy With Data Science
Data Analysis Best Practices and Tips