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Projection vs Reality: Avoid These Financial Modelling Mistakes - Danielle Stein Fairhurst | Ep.068

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Manage episode 409078106 series 3442672
Content provided by Adam Shilton. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Adam Shilton or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode, we welcome Danielle Stein Fairhurst, a renowned Microsoft MVP, Author, and Corporate Trainer. Danielle shares her expertise in financial modeling, highlighting the crucial distinction between models and reality.

We also delve into best practices for building accurate financial models, emphasising the importance of separating inputs from calculations and avoiding hard-coded assumptions. We also explore the role of visuals, collaboration, and lesser-known Excel functions in elevating your modeling game. Join us as we navigate the ever-evolving landscape of tech for finance. Like, subscribe, and stay ahead of the curve!

------SHOW NOTES------

- Subscribe to 'Framework Friday' - www.techforfinance.com

- Connect with Danielle - https://www.linkedin.com/in/daniellesteinfairhurst/

- Using Excel for Business & Financial Modelling - https://onlinelibrary.wiley.com/doi/book/10.1002/9781119520344

- Financial Modelling in Excel for Dummies - https://www.dummies.com/book/technology/software/microsoft-products/excel/financial-modeling-in-excel-for-dummies-281721/

------CHAPTERS------

- (00:01:39) - Danielle's experience in Saudi Arabia

- (00:05:57) - Common financial modeling mistakes

- (00:11:15) - Understanding financial models vs. reality

- (00:16:23) - Dangers of relying on AI models

- (00:21:02) - Elevating financial models for collaboration

- (00:27:04) - Importance of visuals in modeling

- (00:31:49) - Collecting and managing model data

- (00:35:32) - Lesser-known Excel functions for modeling

- (00:37:49) - Women in Financial Modeling group

  continue reading

74 episodes

Artwork
iconShare
 
Manage episode 409078106 series 3442672
Content provided by Adam Shilton. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Adam Shilton or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode, we welcome Danielle Stein Fairhurst, a renowned Microsoft MVP, Author, and Corporate Trainer. Danielle shares her expertise in financial modeling, highlighting the crucial distinction between models and reality.

We also delve into best practices for building accurate financial models, emphasising the importance of separating inputs from calculations and avoiding hard-coded assumptions. We also explore the role of visuals, collaboration, and lesser-known Excel functions in elevating your modeling game. Join us as we navigate the ever-evolving landscape of tech for finance. Like, subscribe, and stay ahead of the curve!

------SHOW NOTES------

- Subscribe to 'Framework Friday' - www.techforfinance.com

- Connect with Danielle - https://www.linkedin.com/in/daniellesteinfairhurst/

- Using Excel for Business & Financial Modelling - https://onlinelibrary.wiley.com/doi/book/10.1002/9781119520344

- Financial Modelling in Excel for Dummies - https://www.dummies.com/book/technology/software/microsoft-products/excel/financial-modeling-in-excel-for-dummies-281721/

------CHAPTERS------

- (00:01:39) - Danielle's experience in Saudi Arabia

- (00:05:57) - Common financial modeling mistakes

- (00:11:15) - Understanding financial models vs. reality

- (00:16:23) - Dangers of relying on AI models

- (00:21:02) - Elevating financial models for collaboration

- (00:27:04) - Importance of visuals in modeling

- (00:31:49) - Collecting and managing model data

- (00:35:32) - Lesser-known Excel functions for modeling

- (00:37:49) - Women in Financial Modeling group

  continue reading

74 episodes

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