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

Information is burgeoning inside businesses at an exponential rate. The total amount of data being captured and stored by industry doubles nearly every year. Companies are increasingly looking to tap into the potential of these vast swathes of fast-moving, unstructured and complex streams of data to achieve step-change improvements in growth and performance.

Despite the sense of promise surrounding Big Data, most companies estimate they are only analysing 12% of their data, while 80% of data on average is unstructured and does not lend itself to analysis. Big Data is much more than simply a matter of size – it presents an opportunity to discover key insights and emerging trends in data, make businesses more agile, board room decisions better informed, and answer questions that have previously been considered unanswerable. According to the OECD, “data-driven innovation forms a key pillar in 21st century sources of growth.”

Is your enterprise up to the challenge of seizing the Big Data opportunity? Join hundreds of C-suite business and technology leaders at Whitehall Media’s 9th bi-annual Big Data Analytics conference where 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 to help delegates gain fresh insights and strategic momentum to grow and leverage data for competitive advantage.

Featured Speakers

  • julian

    Julian Schwarzenbach, Chair, BCS Data Management Specialist Group

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  • Asking Questions of Enterprise Data
  • Actionable Business Insights
  • Big Data and Emerging Technologies (IoT, Mobile, Social)
  • Business and ICT Collaboration
  • Business Continuity and Recovery
  • Business Intelligence and Analytics
  • Capacity and Data Monetisation
  • Compliance and Security
  • Customer/ User / Transaction / System Analysis
  • Data Compression, Discovery, Management, Warehousing
  • Data Protection
  • Data Quality, Migration, Integration, Synchronisation
  • Data Visualisation & Statistical Evaluation
  • Data-Driven Enterprise Applications
  • Disaster Recovery & Data Loss Prevention
  • Generating New Revenue Streams / Maximising Profit Margins
  • Governance and Regulation
  • Hadoop, MapR for complex workloads
  • Harnessing insights from unstructured data
  • Implementing Big Data Architectures (strategy, challenges, opportunities)
  • Improved Business Decision-Making
  • Improved Operational Performance
  • Marketing Analytics
  • Performance Monitoring (in real-time)
  • Predictive Analytics & Forecasting
  • Productivity Savings
  • Scalability and Performance
  • Security Analytics (combatting fraud, insider attacks and APTs)
  • Storage Infrastructures
  • Unlocking Operational Efficiencies
  • Visibility into the unknown
  • Web Intelligence / Social Media Analytics