Best Practices for Data Management and Predictive Analytics

Presented on:
March 14, 2019 9:00 AM PT
Duration:
1 hour
Location:
Online

Many companies collect a significant amount of data but aren’t sure how to leverage it effectively.

Join us in our upcoming webcast on data management and predictive analytics. We’ll share case studies and offer key insights on how to use your data to improve business processes, customer experience, and other factors that drive growth.

Register

Speakers

Clayton Cafferata, Senior Manager, Moss Adams

Clayton has provided financial modeling, analysis, and valuation services since 2005. His financial modeling experience includes new business evaluations, strategic initiatives, simulations, forecasting, cost-benefit analysis, and shortfall analysis. He also manages valuation engagements for privately held businesses; intangible assets such as technology, music copyrights, and other creative works; and illiquid securities including debt instruments, structured products, and derivatives for financial reporting, potential sale or acquisition, litigation, and tax-related purposes.

Aaron Tyler, Senior Manager, Moss Adams

Aaron has specialized in business intelligence and data analytics since 2016. He works with his clients to make data useful to the business and democratize data solutions. Aaron has extensive experience as an analyst and interpreting data relative to business and industry goals while providing significant competitive advantages to clients. His projects bring operational data to decision makers in industries ranging from agriculture to financial services.

Angelo Gacad-Sioson, Moss Adams, Senior Manager

Angelo has more than 10 years’ experience in project-based data management, business intelligence, and data analytics consulting. He helps his clients leverage data analytic principles to build and implement data-centric solutions for complex business problems and he has specialized experience building solutions to automate manual reporting processes.

Registration Form

Please make sure Javascript is enabled and your browser is up-to-date.