DataFramed #93 How Data Science Drives Value for Finance Teams
Jun 27, 2022
Brian Richardi, Head of Finance Data Science and Analytics at Stryker, brings over 14 years of experience merging finance and data science. He shares insights on how finance teams are evolving into data-driven leaders, emphasizing the importance of collaboration and self-service analytics. Brian discusses the essential technical skills finance professionals need, like SQL and data visualization, to drive efficiency. He also touches on future trends, the necessity for transparency in data initiatives, and the importance of building strong partnerships within teams.
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Career Start
- Brian Riccardi started his career at Domino Sugar as a BI analyst.
- He transitioned to Head of Commercial Finance, gaining experience with SAP and self-service analytics.
Finance as Data Science
- Finance teams often acted as the original data science teams within organizations.
- They possessed data from various sources and synthesized it for decision-making.
Finance Data Expertise
- Finance professionals interact with diverse data, understand its gaps, and find ways to connect disparate sources.
- They possess deep domain expertise, understanding not just the data but also its business context and applications.