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How Data Science Drives Value for Finance Teams

June 27, 2022
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Brian Richardi talks about his experience as a data science leader transitioning from Finance. He provides insights into utilizing collaboration, effective communication to drive value and the future of data science in Finance.

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Key Takeaways

1

A holistic understanding of the business is key to building high-impact data products that add value.

2

A collaborative spirit helps you build expertise, trust, and credibility within the business to lead new data initiatives.

3

As industries continue to adopt new tools, it’s vital to upskill in data visualization and light coding, such as learning Python and SQL, so you can continue adding value well into the future.

Key Quotes

It’s important to have a roadmap. Early on, everyone gets really excited about data science and the analytics, but they get caught up in a lot of buzzwords, making it difficult to get out of the proof-of-concept phase. You have to show how what you’re building is tied to a product and how it's going to be delivered to the business to add value. Identify how you are increasing revenue, cost savings, or cashflow. As finance professionals, we get really caught up in the cost of something because we try to make the budget work, but if you look at what you’re building as an investment, instead of as a cost, and showcase what you’re delivering, you can be successful.

Understanding how everything is connected is really important. If you can take the data you receive from the business and learn how it's being used and the system it’s coming from, then you can utilize it to generate reports on any key metric you want. It allows you to go deeper into the data, really understand what it means, and build something that's usable for the business. That's what it's all about. We don't want to build something for it to die on the vine. And that holistic understanding really comes through collaboration. I mean, I think a key strength of finance and a key ingredient to success is the collaboration and building bridges between all the various functions in your organization.

About Brian Richardi

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Brian Richardi is the Head of Finance Data Science and Analytics at Stryker, a medical equipment manufacturing company based in Michigan, US. Brian brings over 14 years of global experience to the table. He got his start managing a rock band, learning strategic relationship building and contract negotiations. From there, he joined Domino Sugar as a business analyst and eventually become the Chief Finance Leader, earning his MBA and an SAP certification. Now at Stryker, Brian leads a team of data scientists that use business data and machine learning to make predictions for optimization and automation.

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Meet our host
Adel Nehme

Adel is a Data Science educator, speaker, and Evangelist at DataCamp where he has released various courses and live training on data analysis, machine learning, and data engineering. He is passionate about spreading data skills and data literacy throughout organizations and the intersection of technology and society. He has an MSc in Data Science and Business Analytics. In his free time, you can find him hanging out with his cat Louis.


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