How you can capitalize on new technologies and practices and modernize your enterprise data warehouse to prosper with big data analytics.

With all the hype, few have not heard about “big data analytics” and what mastering this combination of technologies and practices could mean for business competitiveness. But what does it really take to start a big data analytics project, keep it going as the organization gains experience, and then push the envelope to accomplish truly game-changing objectives? How do you modernize your enterprise data warehouse so that you can integrate big data analytics with your hard-won, trusted EDW asset?

Attend this session to learn best practices for building your organization’s maturity with big data analytics. TDWI Research has developed big data and analytics maturity assessment tools that have been used by hundreds of organizations to learn where they stand compared to peers in achieving what TDWI sees as essential milestones for project advancement. TDWI has analyzed the assessments to discover organizations’ progress in five key areas: organization, governance, analytics, data management, and infrastructure.

In this presentation, TDWI will share research insights and discuss best practices for achieving higher stages of maturity. The goal is to help you “get from here to there”: that is, develop a sustainable strategy for moving ahead with big data analytics and modernizing your enterprise data warehouse to meet big data analytics requirements.

• What works for getting business buy-in for investing in big data analytics projects
• How to address governance and organizational challenges that can be obstacles to moving forward
• Technology trends important for enterprise data warehouse modernization to support big data analytics
• Strategies for increasing maturity in analytics and big data management
• TDWI Research insights into the state of big data analytics maturity and how organizations can advance

Enterprises are challenged by the demanding performance, scale, and efficiency requirements of complex simulation, modeling, and analytics problems. Hadoop is an option, especially for those seeking lower costs for storing big data. However, should you to turn to Hadoop to increase performance and achieve petabyte scale? Do you need to rethink your ETL and visualization tools to strive for more far-reaching analytics? In this session, Steve Sarsfield from Vertica discusses how the Vertica Analytics platform as well as complementary technologies like Spark and Kafka can reduce costs, increase performance, and make your organization ready to provide big data analytical insight to more users. In this presentation, Steve will compare and contrast the best use case and cost models of common big data analytics technologies as you plan to handle more data and boost your ability to deliver the right kind of analytics to a greater number of users.

Steve Sarsfield is a product evangelist and spokesperson in HP’s Big Data Software Business unit. He is also a big data enthusiasts and author of the book "The Data Governance Imperative". Steve has more than 20 years of experience in big analytics, information quality, big data and data governance.

Delivering a world-class BI and Analytics program requires solid planning and the right tools, including advanced mobile visualization and reporting, as well as a next-generation analytics platform capable of delivering real-time performance. Learn how HPE Vertica is used as a cornerstone of GUESS’ analytics and insight strategy. Hear the many use cases of Vertica and how it’s transformed speed of execution and analysis throughout the business.

Bruce Yen, Senior Director of Business Intelligence & Mobile, GUESS?, Inc. Mr. Yen is the Senior Director of Business Intelligence & Mobile at GUESS?, Inc. responsible for the strategic vision and execution for global business intelligence, mobile and analytics. Mr. Yen is a recognized leader in business intelligence and has received industry recognition as an innovative and cutting-edge information manager utilizing user-friendly, visual interfaces that empower, enable and delight users to make better business decisions. He specializes in creating a cohesive data dissemination strategy to bring actionable data to diverse user communities and business needs through the use of advanced analytics and visualizations. Mr. Yen has over 17 years of experience in solutions for retail, customer loyalty and manufacturing and received his education from the University of California, Los Angeles.