Getting Started with Advanced Analytics in Finance, Marketing, and Operations

Presented by Tim Vlamis

Everyone wants to integrate data mining and predictive analytics into their finance and business processes, but where do you start when your team members aren’t data scientist PHDs and you loathe to send your data to an outside firm? We’ll compare the predictive analytics capabilities in Oracle Business Intelligence with in-database tools like Oracle Data Mining and Oracle R Enterprise. We’ll review the central importance of visual analytics and give examples of data visualization best practices. We’ll cover how to identify projects with the highest ROIs and how to properly scope projects according to where you are on the analytics maturity curve. You’ll learn about standing up sand box instances versus leveraging the cloud. Bring your questions and concerns, your best ideas for potential projects, and be ready for a highly interactive, informative session.

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