Getting to the Next Level with Visual Analytics and Governed Data Discovery

Presented by

David Stodder, TDWI Research Director, SAS, Tibco Spotfire

About this talk

While there are clear advantages to giving more users more control over how they access and interact with data through more self-service technologies, organizations need to think about how they can properly govern their experiences. Governance considerations include data security, quality, blending and integration, and adherence to policies and regulations. IT also needs to manage performance, availability, and other issues that are critical to successful and productive user experiences. Join this Webinar to find out how your organization can get to the next level with visual analytics and governed data discovery. The Webinar discussion will focus on key steps for improving users’ data interaction experiences through better-governed visual analytics, data discovery, and intuitive, easier-to-use BI. It will include a presentation by TDWI Research and topical panel discussion with representatives from SAS and TIBCO Spotfire. You will learn: * Current technology trends for improving personalization, productivity, and the scale, scope, and speed of visual analytics, data discovery, and intuitive BI * Best practices for “governed” data discovery; balancing IT responsibilities for managing data assets with user demands for control over analytics * Addressing data quality, integration, and related governance concerns while supporting democratized visual analytics and data discovery * Discussion with technology solution providers SAS and TIBCO Spotfire about how users can get to the next level

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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.