WEBINAR: Data Analysis to Predict Voter Turnout and Outcome - 16 August 2016

Overview

Title: Data Analysis to Predict Voter Turnout and Outcome

Date: Tuesday, August 16, 2016

Time: 09:00 AM Pacific Daylight Time

Duration: 1 hour

Summary

Data Analysis to Predict Voter Turnout and Outcome 

It goes without saying, we live in a very data-rich age.  In the political arena, sophisticated analytic firms like Deep Root manage and analyze an ever-growing list of data sources to project voter turnout and predict vote choice.  To do this, they must first access and acquire the data, and then build complex data blending and analysis workflows to turn a variety of unlinked data sources into a single, actionable database of information. Only then can they decide which voters to speak with, with what message and through which media.

Join us for our latest Data Science Central Webinar and learn how Alteryx, Amazon Web Services, and Deep Root Analytics work together to leverage numerous data sources to quickly deliver critical insights. 

You will learn how to:

• Quickly blend and analyse data from all sources - cloud and local 
• Apply predictive and geo-spatial analytics to big data
• Enable data analysts with the cloud computing power of Amazon Web Services 
• Empower the organisation at large with analytic visualisations from Tableau

Speakers:
Raman Kaler, Alliance Manager -- Alteryx 
Nick Tussing, Solutions Engineer -- Alteryx
Danielle Mendheim, Database Analyst -- Deep Root Analytics
Moselle Freitas, Sr. Partner Manager – Big Data ISV Segment --  Amazon Web Services
 

Hosted by: 

Bill Vorhies, Editorial Director -- Data Science Central

Register here