CHICAGO, IL — (Marketwired) — 10/01/14 — Mu Sigma (), the world–s largest pure-play provider of decision sciences and analytics solutions, announced today, that it will co-present with at taking place October 5-9, 2014 in Boston, MA. Predictive Analytics World is focused on the big data movement and gathers thousands of predictive analytics professionals to share real-world case studies, best practices and trends in the industry.
In the B2B space, marketing–s role in revenue conversion is often questioned. And even if that contribution is well established, it is often unclear how best to optimize marketing spend across various channels. In this presentation executives from LinkedIn and Mu Sigma will outline how a multi-touch attribution approach was successfully designed and implemented at LinkedIn. May Xu, LinkedIn–s Business Architect and Product Manager, is committed to turning the company–s key strategic asset (data) into innovative products and services via a combination of product vision, analytical strength, and technical depth to transform sales and marketing.
, Business Architect and Product Manager, LinkedIn
, Regional Head, Mu Sigma
, Manager, Mu Sigma
Featured Presentation:
Seaport World Trade Center, Boston, MA
Tuesday, October 7, 2014 at 4:15 pm
For more information on the event or to register, visit
Mu Sigma is a category-defining Decision Sciences and Big Data analytics company helping enterprises institutionalize data-driven decision-making. Mu Sigma–s unique interdisciplinary approach and cross-industry learning drive innovation in solving high-impact business problems across marketing, risk and supply chain. With over 3500 decision scientists and experience across 10 industry verticals, Mu Sigma has been consistently validated as the preferred Decision Sciences and analytics partner. Mu Sigma provides an integrated decision support ecosystem of products, services and cross-industry best practice processes transforming the way decisions are enabled in enterprises for more than 140 Fortune 500 clients. Visit .
Mu Sigma is a trademark of Mu Sigma, Inc. in the United States and other countries. All other trademarks contained herein are the property of their respective owners
Media Contact:
Gina Rezendes
Big Swing Communications
617-640-9278
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