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The UK’s largest and most prestigious cross-industry event showcasing the latest insights and innovations for large enterprise organisations

Big Data is much more than simply a matter of size – for large and small businesses alike – it presents an opportunity to discover key insights and emerging trends in data, make business more agile, board room decisions better informed, and answer questions that have previously been considered unanswerable. With data volume set to grow by 800% and over 80% of this being unstructured data, the question is: Is your enterprise up to the challenge of seizing the Big Data opportunity?

At Whitehall Media’s 7th Big Data Analytics conference we showcase Big Data use cases and techniques that drive the greatest business value. With an emphasis on real-life implementation of Big Data technologies, this practical business forum will provide bold vision from leading innovators across the data-driven spectrum. We explore the latest tools and trends to help delegates gain fresh insights and strategic momentum to grow and respond to their business requirements.

This high level event is aimed at C-suite professionals, Business Strategists, Heads of BI and Data Scientists looking to leverage the opportunity to harness data for competitive advantage while also being mindful of privacy, legal, risk and compliance issues.

Featured Speakers

  • yi-ke

    Yike Guo is a Professor of Computing Science in the Department of Computing at Imperial College London.

    View more >>

  • heather

    Heather Savory is the chair of the Open Data User Group (ODUG).

    View more >>

  • joe

    Joe Mitton, Special Adviser to the Mayor of London for Business and Enterprise

    View more >>

 

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FEATURED TOPICS

  • Governance and Regulation
  • Compliance and Security
  • Implementing Big Data Architectures
  • Business Intelligence and Analytics
  • Business Continuity and Recovery
  • Capacity and Data Monetisation
  • Web Intelligence / Social Media Analytics
  • Customer/User / Transaction / System Analysis
  • Data Compression, Management, Warehousing
  • Data Quality, Migration, Integration, Synchronisation
  • Data Protection
  • Disaster Recovery & Data Loss Prevention
  • Data-Driven Enterprise Applications
  • Unlocking Operational Efficiencies
  • Performance Monitoring (in real-time)
  • Storage Infrastructures
  • Hadoop, MapR for complex workloads
  • Scalability and Performance
  • Harnessing insights from unstructured data
  • Predictive Analytics
  • Business & IT Collaboration
  • Data Visualisation & Statistical Evaluation
  • Big Data and Emerging Technologies