WEBINAR: Innovation driven by strategy - 8 December 2016

Webinar Event Details

Date: Thursday, December 8, 2016
Time: 1:00 pm ET/ 10:00 am PT
Duration: 60 minutes (including Q&A)

What You'll Learn The right analytics help to improve business performance. However, not all organisations succeed every time in gaining tangible value from their data. What is often missing from the analytics equation is an actionable strategy for using analytical insights to drive better decision-making. This one-hour webinar will explore the development of an analytics strategy, enablement of behavioural changes and operational transformation to gain the competitive upper hand. • Presenters Bernard Marr,  Bestselling author, keynote speaker, strategic performance consultant, and big data guru, Data Informed Board of Advisers Bernard Marr is a bestselling author, keynote speaker, strategic performance consultant, and analytics, KPI, and big data guru. In addition, he is a member of the Data Informed Board of Advisers. He helps companies to better manage, measure, report, and analyze performance. His leading-edge work with major companies, organizations, and governments across the globe makes him an acclaimed and award-winning keynote speaker, researcher, consultant, and teacher. Radu Miclaus,  Senior Manager Analytics Pre-Sales, SAS Institute Radu is a creative analytics professional with more than 8 years of experience architecting enterprise analytics infrastructure that focus on transforming raw data into actionable insight for National accounts and commercial accounts at SAS Institute. With deep expertise in business application related to risk analytics, supply chain, IoT, customer intelligence and personalization, Radu focuses on engineering platforms that prepare analytics data, model it and deploy analytics decisions back into operations systems at the scale and speed needed by customers. Currently Radu leads a team of data scientists and pre-sales engineers who support customer engagement cycles related to Big Data initiatives using SAS technologies like Grid, In-Database, Hadoop, In-Memory and Event Stream Processing for high-availability, near-real-time and real-time analytics application.  Register here