BDA EUROPE

Big Data Analytics

8 March 2018

Postillion Convention Centre Amsterdam

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EUROPE’S LEADING CROSS-INDUSTRY EVENT
showcasing the latest Big Data Analytics insights and innovations for large enterprise organisations

At a glance

DATA ARE NOW PART OF EVERY SECTOR AND FUNCTION OF THE GLOBAL ECONOMY AND, LIKE OTHER ESSENTIAL FACTORS OF PRODUCTION, MUCH OF MODERN ECONOMIC ACTIVITY SIMPLY COULD NOT TAKE PLACE WITHOUT THEM.

Businesses are gathering more data, at a faster pace, than ever before with the total amount of data being captured and stored by industry doubling nearly every year. Data production in 2020 is set to be 44 times greater than it was in 2009.

Data can help businesses identify patterns, become more agile, answer questions that have previously been considered unanswerable and find new solutions to complex problems. The worldwide data dividend is estimated to be over one trillion dollars as companies compete to establish a strategic focus on information infrastructure – the bedrock of growth in a crowded global marketplace. Yet despite the sense of excitement and promise surrounding the industry, as much as 80% of data on average is unstructured and does not lend itself to easy-to-use algorithms.

JOIN WHITEHALL MEDIA’S PRESTIGIOUS THIRD ANNUAL BIG DATA ANALYTICS EUROPE CONFERENCE

where hundreds of leading innovators, thought-leaders and executive professionals discuss and impart insights on how to integrate, understand, manage and govern Big Data. This practical business forum will provide bold vision from leading data evangelists to help delegates gain fresh insights and momentum to galvanise and leverage their data for competitive advantage.

FEATURED TOPICS

  • Asking Questions of Enterprise Data
  • Actionable Business Insights
  • Algorithmic Intelligence / Insights / Oversight
  • Analytics and Reporting
  • Applied Statistics and Evaluation
  • Big Data and Emerging Technologies (IoT, Mobile, AI)
  • Behavioural Insights
  • Business and ICT Collaboration
  • Business Continuity and Recovery
  • Business Intelligence and Analytics
  • Capacity and Data Monetisation
  • Compliance, Security, GDPR
  • Customer/ User / Transaction / System Analysis and Insights
  • Data Compression, Discovery, Management, Warehousing
  • Data Engineering and Architecture
  • Data Lakes, and Deriving Value from Large Data Sets
  • Data Migration, Integration, Synchronisation
  • Data Governance and Protection
  • Data Quality and Cleansing
  • Data Visualisation
  • Data-Driven Enterprise Applications
  • Data Science Skills, Talent and Training
  • Disaster Recovery and Data Loss Prevention
  • Fast Data and Processing Data Streams
  • Generating New Revenue Streams / Maximising Profit Margins
  • Governance and Regulation
  • Tools for Complex Workloads: Hadoop, Spark, Cassadra, MapR etc.
  • Harnessing insights from unstructured data
  • Implementing Big Data Architectures (strategy, challenges, opportunities)
  • Improved Business Decision-Making
  • Improved Operational Performance
  • Machine Learning and Deep Learning
  • Managing data science teams and projects
  • Marketing Analytics
  • NoSQL Databases
  • Open Data Standards and Interoperability
  • Performance Monitoring (in real-time)
  • Predictive Analytics and Forecasting
  • Productivity Savings
  • Recommendation Systems
  • Resource and Performance Optimisation
  • Scalability and Performance
  • Security Analytics (combatting fraud, insider attacks and APTs)
  • Storage Infrastructures
  • Targeted Advertising and Analytics
  • Unlocking Operational Efficiencies
  • Visibility into the unknown
  • Web Intelligence / Social Media Analytics

Featured Speakers

SPONSORS

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SUMMARY

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