Solving Big Data Challenges with Simplicity & Speed

Solving Big Data Challenges with Simplicity & Speed

 

Available On Demand
Duration 60min
Speakers
Brian Jeffery
Managing Director
International Technology Group
Brian Jeffery
Brian Jeffery, managing director and co-founder of the International Technology Group, is recognized as one of the industry’s leading authorities on IT economics and business/economics alignment. His company has since 1983 specialized in in-depth, factual analyses based on user experiences. Mr. Jeffery has authored numerous studies comparing different transactional databases and platforms for enterprise resource planning (ERP) and a wide range of industry-specific core business applications in large as well as midsize organizations. He has also consulted with hundreds of users in North America, Europe and the Asia/Pacific region. Prior to co-founding the International Technology Group, Mr. Jeffery held a variety of positions with Burroughs in the United States as well as Bemrose, Hewlett-Packard and Klosterfrau GmbH in Europe. He holds an M.A. from the University of Cambridge in England and an M.B.A. from the Ecole des Affaires de Paris (Paris Business School) in France.

For today’s organizations to be competitive, they need to quickly, easily analyze and explore data. Achieving this successfully depends greatly on the technology chosen for the job.

A recent ITG led presentation featuring the TCO study conducted to assess the TCO of IBM PureData System for Analytics highlights the overall TCO advantages and illustrates the superiority of IBM PureData System for Analytics over its competition.

Register for this interactive webinar to discover how to overcome:

  • Slow analytics performance
  • Lack of data capacity
  • Complex infrastructures

Join us for a fact-based comparison that will illustrate how to meet Big Data Challenges with simplicity and speed to lower cost and optimize performance.   

Register and attend to receive a copy of the new ITG TCO comparison and see how IBM and Oracle stack up.

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