Swati Bagri, head of FP&A for a major global FMCG company was told early in her career: “Either you are sales or you are helping sales”. In this second in our series of finance business partnership Swati, representing finance, is joined by Stephanie Troy, VP of Sales at Datarails, for a candid conversation with host Glenn Hopper about what sales leaders actually need from FP&A, and what great revenue-producing partnerships look like.

In this special episode:

• The dynamics of sales vs finance needs
• Pipeline communication challenges
• The problems with forecasting
• Where lack of communication hurts sales and finance
• What finance needs from sales leaders in budget season
• Dealing with the Office of No

Today on the show, we're launching a special series on finance business partnering - exploring different facets of modern finance business partnering. Today’s special guest is Tunc Tezel VP group FP&A, Ontax, bringing 30-years of lessons from Ontex, Pladis, British American Tobacco, Procter & Gamble, and Gillette - business partnering with marketing, sales, and operations to reach common goals and bringing some of the most popular CPG products to market.

• From “spy” to “strategist” in business partnering
• Secrets to storytelling
• Embedded vs. centralised FP&A business partnering
• Working capital as a partnering tool
• Breaking bad news in business partnering
• When business partnering breaks down

Tom Hinkle, senior leader in data and analytics at TIAA, has built his career at the intersection of finance, technology, and strategy. He also has a budding YouTube channel (Tom's Data World, which includes instructional videos on Excel, SQL, and AI). He's worked extensively with Excel (is a Microsoft MVP) and SQL, as well as Tableau and Power BI, and has worked with major financial institutions, including Bank of America, Wells Fargo, and TIAA.

"Nobody really gets excited about spending money on data governance. They get excited about machine learning, about AI, about data storytelling — everybody wants seminars on that. But data governance? At the end of the day, you're coming up with something you thought was right anyway, and then you're asking someone to spend more money just to make sure it's right."

• Why data governance is the foundation of AI
• Trust but verify challenges
• The two sides of data governance: master data management vs. data quality and controls
• How FP&A teams should think about their role as downstream consumers of data
• Why domain expertise is still non-negotiable in the age of vibe coding
• Tom's Minesweeper-in-Excel story, and what it taught him about prompting