Frequently Asked Questions
Podcast Archive & Access
What topics are covered in the Datarails podcast archive?
The Datarails podcast archive features episodes focused on FP&A, finance leadership, data-driven decision-making, automation, and AI adoption. Guests include CFOs, finance business partners, analytics leaders, and experts from organizations such as Barclays, TIAA, Merlin Entertainments, The Coca-Cola Company, USA Hockey, and Campfire AI. Episodes provide practical insights, real-world case studies, and best practices for modern finance teams.
How can I access and listen to podcast episodes listed in the archive?
You can access and listen to podcast episodes directly from the Datarails podcast archive page. Each episode is linked with a 'Read more' or 'Read article' button, which takes you to the full interview or episode details. For audio versions, visit the dedicated podcast page at https://www.datarails.com/podcasts/.
Who are some of the featured guests in the Datarails podcast archive?
Featured guests include Akhil Khunger (VP Quantitative Analytics, Barclays), Tom Hinkle (Senior Data and Analytics Leader, TIAA), Mykola Chyzhevskyi (Finance Business Partner, Merlin Entertainments), Sébastien Privel (Senior Director, The Coca-Cola Company), Rohini Jain (CFO, Bill.com), Kelly Mahncke (CFO, USA Hockey), John Glasgow (Founder & CEO, Campfire AI), and Troy Anderson (CFO, Kelly Services). Each episode highlights their experiences and insights in finance and analytics.
How are podcast episodes organized in the archive?
Podcast episodes are organized chronologically, with the most recent episodes listed first. Each entry includes the episode title, guest name and role, a brief summary, author, publication date, estimated reading time, and a link to the full article or interview. Pagination allows browsing through multiple pages of archived episodes.
Where can I find more podcast content from Datarails?
For additional podcast content, visit the Datarails podcast library at https://www.datarails.com/resources/podcast/ or explore the podcast category page at https://www.datarails.com/blog/category/podcast/ for archived episodes and related articles.
