Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Lawrence Cowan

Lawrence Cowan
Partner, Cicero Group

Website

Lawrence Cowan is a partner and advanced analytics practice leader with the Cicero Group, where he has spent the last decade building the company’s analytics practice and helping Fortune 500 firms solve real business challenges with data, including attrition, segmentation, sales prioritization, pricing, and customer satisfaction. He also leads the firm in predictive analytics and big data-related engagements, applying Cicero’s deep expertise in strategy execution to ensure data delivers ROI, and has partnered with companies to help them to shift from reactive to predictive analytics by collecting and analyzing real-time information and distributing it across the organization— allowing management to make better, faster decisions that move the business forward. Lawrence is a frequent speaker and thought leader in the advanced analytics space, at events such as Predictive Analytics World for Business and Workforce and Global Big Data Conference, as well as serving as chairperson for the Data Analytics Leaders Event—the place where data chiefs and BI and analytics function heads come together to explore accelerating the path of data to value. His views and recommendations on big data and advanced analytics have been published in CIO Review and Predictive Analytics Times. Lawrence holds an MS in predictive analytics from Northwestern University, an MBA with an emphasis in business economics from Westminster College, and a BA from Brigham Young University.

Sessions

2:05pm–2:45pm Wednesday, 09/12/2018
Location: 1E 10/11 Level: Beginner
Lawrence Cowan (Cicero Group)
Average rating: ***..
(3.00, 3 ratings)
Firms are struggling to leverage their data. Lawrence Cowan outlines a methodology for assessing four critical areas that firms must consider when looking to make the analytical leap: data strategy, data culture, data analysis and implementation, and data management and architecture. Read more.