In this episode, host Paul Barnhurst talks about data integration, focusing on how finance professionals can streamline data processes and optimize workflows. The conversation also explores the balance between spreadsheets and specialized tools in financial modeling. He provides practical guidance for professionals navigating data challenges in the modern financial landscape.

Adam Rakich is an experienced professional in financial planning and analysis (FP&A) software and data integration solutions. With career spanning tools like Adaptive Insights, OneStream, and DataBlend, Adam brings a unique perspective on how accountants and finance teams can leverage technology to overcome data-related inefficiencies.

Expect to Learn:

Why assumptions in financial models can make or break their reliability.
The key factors that determine when to move from spreadsheets to planning tools.
How to make data integration less intimidating for finance professionals.
Practical solutions for accessing data across multiple systems, including API usage and hybrid approaches.
Insights into the evolving role of Excel and Google Sheets in modern financial modeling.

Here are a few quotes from this episode:

“Spreadsheets are not multi-user, and anyone trying to make them that way is spending more time than they should.” - Adam Rakich
“For fractional CFOs, marketplaces like Zero and QuickBooks can be lifesavers with cost-effective integrations.” - Adam Rakich
“Every small automation reduces time and errors, even if the entire process can’t be automated.” - Adam Rakich

Adam Rakich shares the challenges and opportunities in data integration and financial modeling. He offers practical solutions to approach data integration without fear, and the evolving roles of tools like Excel, Google Sheets, and APIs.

Follow Adam:

LinkedIn - https://www.linkedin.com/in/rakich/
Business User’s Guide to Data Integration - https://a.co/d/5xSL3g4

Follow Paul:

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How to Simplify Data Integration for Finance Teams with Adam Rakich

Financial Modeler's Corner