Gabriela Gutierrez: Using AI to Predict Revenues within FP&A

Gabriela Gutierrez: Using AI to Predict Revenues within FP&A

Gabriela Suchanek  is Financial Planning & Analysis Specialist at eBay Classifieds in Germany. Gabriela is one of our most international guests. Growing up in Ecuador, she did an MBA in Barcelona and studied in the US. She now works in Germany leading revenue forecasts for the core divisions of the online juggernaut eBay Kleinanzeigen.

At eBay Kleinanzeigen (Kleinanzeigen is the German word for classifieds) she is responsible for revenue forecasting for 70% for the largest classified online ads portal in the country. She splits her days providing forecasts for the main business, advertising, subscriptions and classifieds. (After the sale of the eBay classifieds division it belongs to the Norwegian Adventina, in which eBay in turn holds 33 percent).

In this episode, Gabriela discusses the pivotal moment in her career: how she learnt to love coding and embraced data analytics and ML to deal with the vast amount of data at the company.

She discusses spending hours and days and months learning Python (“I would spend hours trying to understand where I had made an error”) and eventually experimented with Meta’s Prophet - a forecasting procedure implemented in R and Python and her strong working collaboration with the data analytics team at the company.

Originally choosing finance over a fashion career, she fell in love with FP&A as perfect for someone of her mindset, a natural introvert, who nevertheless comes alive when talking with others about numbers: “I love how you can see how any initiative in the business will influence the revenues or cost” and “tell the story using numbers.”

In this episode, Gabriela talks to Paul about

  • Her path to FP&A
  • Her secrets to balancing the metrics across the company’s advertising, subscription and classified forecasts
  • Her deep relationship with the analytics team
  • Whether analytics should be within the finance team?
  • Her journey from FP&A to data science
  • Using AI to predict revenues in FP&A
  • Her passion for Germany and interests outside of finance
  • Her biggest advice to succeed in FP&A
  • Her favorite Excel function

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FP&A Today is brought to you by Datarails.

Datarails is the financial planning and analysis platform that automates data consolidation, reporting and planning, while enabling finance teams to continue using their own Excel spreadsheets and financial models.

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Read the Blog and Full Program Transcript

Watch the Full Episode on YouTube

To suggest a great guest for the show, or if you would like to be the FP&A Leader being interviewed contact jonathan.m@datarails.com

David Wolosin, MBA

Finance | FP&A | Business Partner

2y

Paul Barnhurst agreed Python is good (used through Jupyter notebook IMO), but SQL knowledge is a must first.

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Brian Zapf, CPA

Your law firm is highly successful. I’ll make it highly profitable. 😎 | Outsourced CFO💰| Founder & Owner at Flight Financial ✈️

2y

Learning to code has been on my wishlist for awhile. Insightful interview.

Stephen Newland, CMA

Fractional CFO for nonprofits + social entrepreneurs | Girl Dad

2y

I've always wanted to explore coding & how it could benefit the finance function. The honest truth is I've just never taken the steps to do it. Looking forward to this one!

Paul Barnhurst

Helping FP&A Professionals provide value to their businesses | Founder of The FP&A Guy | Host of 3 popular Finance podcasts | Microsoft MVP

2y

Josh I agree Python is the most commonly used language and if I was going to learn one it would be Python.

Josh Aharonoff, CPA

Fractional CFO for fast-growing companies | 400k+ Followers | Founder & CEO of Mighty Digits

2y

I've found that Python is the most commonly used language with forecasting - just search for a job post with any of the big tech FP&A companies, and you'll see almost all are using Python In my next career, I plan on learning it all - it's a powerful combination to mix with knowledge as a CFO!

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