The Rise of Big Data Analytics
for Marketing
Big Data is transforming how organizations market and sell products, solutions, and services. According to a recent study by McKinsey & Company, big data and improved analytics can help marketers drive as much as $200 billion in new funds.

MSI’s 2012 “Big Data” conference outlined the dangers and marketing opportunities posed by exponential increases in data storage and computing speed.

Now, we invite you to join us for a discussion with Professor Tom Davenport and MSI industry partner, Teradata, as we continue to shape and advance ideas around the powerful use of big data analytics and discovery for marketing and business growth.

Davenport will share insights on the journey of marketing analytics with special attention on Marketing Analytics 3.0, a framework for addressing big data analytics and discovery, and the opportunity for marketers to understand customer behavior and deliver omni-channel customer interactions, attribution, and real-time analytics. Teradata's Tasso Argyros will provide real-world business examples from pioneering organizations that are using big data analytics and discovery to deliver relevant, actionable, and differentiated customer experiences.

This webinar will bring academia and business together
to discuss:
The evolution of marketing analytics, along with new tools and techniques available to marketers
Marketing attribution and customer data management practices from B2C and B2B organizations
The need for a "360 customer interaction" repository. How to build one and how to use it for marketing competitive advantage
Take-away ideas to create and leverage the momentum in your organization to drive ongoing value from data-driven marketing
OnDemand
FEATURED SPEAKERS
Richard Winter
Tom Davenport
President's Distinguished Professor of IT & Management
Babson College
Research Director, International Institute for Analytics Digital Fellow, MIT Center for Digital Business
Bob Page
Tasso Argyros
SVP of Global Product Deployment & Strategy, Teradata
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