Practical Approaches to Interactive Data Discovery & Predictive Analytics

Presented by

Wayne Thompson, Chief Data Scientist SAS & Tapan Patel, Product Marketing Manager SAS

About this talk

Successful data science and analytics projects should focus on the explanation and delivery of business impact – this requires strong collaboration between business analysts and data scientists. Preparing rich representative data is important, but data discovery and predictive analytics are equally valuable – they enable team members to quickly evaluate which events are drivers or inhibitors of success, and to predict future outcomes. Throughout the course of a project, how can business analysts stay focused on the most important details? How can data scientists prototype and operationalize models in a quick, productive, and easy-to-use manner? In this webcast, we will use SAS Visual Analytics and SAS Visual Statistics to teach you how to: • Quickly identify predictive drivers • Discover outliers by using interactive tools • Use drag-and-drop features to build predictive models • Simultaneously build models and process results for each group or segment of data • Visually explore your predictive outputs or values • Compare your models and apply them to new data

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In today's organizations, you need to get relevant data quickly to drive faster business decisions. With big data, sometimes that's easier said than done. SAS® Business Intelligence offers predictive insights with the ability to understand the past, monitor the present and predict outcomes, no matter the size or complexity of your data. In fact, SAS helps you deliver accurate, valuable information – from Hadoop or any other big data source. Plus, SAS offers an integrated, flexible presentation layer for the full breadth of SAS Analytics capabilities: data and text mining, statistics, predictive analytics, forecasting and optimization. One of the key components of SAS Business Intelligence, SAS Visual Analytics, offers self-service data discovery, enabling even nontechnical business users to explore billions of rows of data in seconds. With this tool, you can discover more opportunities and make more precise decisions, easily publishing reports to the Web and mobile devices.