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Big Data Analytics & Reinventing Business Intelligence

17th August 2015


Business is transforming, rapidly and dramatically. Retailers and supply chains react in real-time to changes in the market, even to changes in the weather. Logistics companies change routes in response to real-time traffic patterns. Insurance premiums are calculated based on driving behaviour as reported by sensors in your car. Such changed and reinvented business processes offer cost savings, increased profits and exciting new opportunities.

Modern technology is everywhere driving all this change. It generates enormous quantities of data —Big Data, Social Media and now, most importantly, from the Internet of Things. We now record and track events, messages and measures on a scale never before imagined. And business must respond, react and anticipate. In such a time of change, decision making becomes both automated and data-driven at one extreme and deeply intuitive at the other.

The rise of these and other advanced technologies over the past half-decade has utterly changed the landscape for business intelligence and data warehousing. We need a new business vision and architecture to reap the very real business benefits promised by new technologies. Business and IT must work closely together in a tightly-integrated approach that I call the “biz-tech ecosystem”. IT needs a new architecture that reintegrates all decision making and action taking into the overall processes of the business. This workshop describes the new, comprehensive architecture required for modern businesses, as well as directly addressing how you can evolve from your current business intelligence environment to benefit from big data, the Internet of Things and related technologies.

Key Learning Objectives

  • Business  drivers and technical rationale for a new architectural approach
  • Structure and components of the new architecture
  • The possibilities and challenges of new database and data management technologies, including Hadoop, NoSQL, column stores and other analytic appliances
  • Using data virtualization and ETL as tools for integration of all types of content and data
  • Positioning and using Web and collaboration tools in support of decision-making
  • The importance of user context and roles in decision processes
  • Practical steps to grow and improve your current data warehouse to the new architecture

Who should attend

  • Enterprise, systems, solutions and data warehouse architects
  • Systems, strategy and business intelligence managers
  • Data warehouse and systems designers and developers
  • Data and database administrators
  • Tech-savvy business analysts

Course Director

Dr. Barry Devlin, Founder and Principal, 9sight Consulting

Dr. Barry Devlin is among the foremost authorities on business insight and big data and one of the founders of data warehousing.  He specializes in the human, organizational and IT implications of deep business insight solutions that combine operational, informational and collaborative environments.  With over 30 years of IT experience, including 20 years with IBM as a Distinguished Engineer, he is a widely respected analyst, consultant, lecturer and author.

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