How to Create Powerful Visualizations to Explore, Share, and Analyze Data [Webinar on 12/1]

by   |   November 29, 2016 5:30 am   |   0 Comments

Date: December 1st
Time: 1:00 PM – 2:00 PM EST

Organizations need a way to get extremely fast insight from any size data and share it with co-workers of varying skill sets — wherever they happen to be.

In this webinar, learn how to create data visualizations that let everyone — even those without significant analytics skills — explore and analyze data. Users can quickly see connections and correlations, then immediately share results via the Microsoft Office tools they use every day.

Register for this webinar to examine:

• How common Microsoft Office tools infused with SAS® Visual Analytics capabilities can help you quickly visualize very large amounts of data and share easy-to-understand analytics insight via the web, mobile devices, and Microsoft applications
• How to empower analysts with data preparation and analytics within a familiar environment
• Ways to explore data and glean insight that surpass traditional visualization and reporting, allowing recipients to slice



Varsha Chawla, Senior Solutions Architect, Global Business Visualization Practice, SAS

Varsha Chawla is working on business visualization at SAS. She has a passion for understanding complex customer problems and translating them into meaningful visualizations and actionable solutions. She has a strong background in product management, digital marketing, social media, and sales. Varsha has been with SAS for almost 10 years and previously worked in the hardware industry. She holds degrees in computer science and business administration.

Tapan Patel, Principal Product Marketing Manager, Business Intelligence and Analytics, SAS

Tapan Patel has more than 15 years in the enterprise software market, Tapan leads global marketing efforts at SAS for Business Intelligence, Predictive Analytics, and In-memory Analytics. More specifically he leads go-to-market initiatives for Visual Analytics and Visual Statistics product lines. He works to ensure that SAS continues to meet their requirements and deliver high-value solutions.


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