BDA ASIA

Big Data Analytics Asia

15 October 2019

Grand Hyatt Hong Kong

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

At a glance

INFORMATION IS BURGEONING INSIDE BUSINESSES AT AN EXPONENTIAL RATE, GENERATED BY SOCIAL MEDIA, TRANSACTIONS, SMARTPHONES AND OTHER SOURCES.

The total amount of data being captured and stored by industry doubles nearly every year. Enterprises are gathering more data, at a faster pace, than ever before and 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.
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 business more agile, board room decisions better informed, and answer questions that have previously been considered unanswerable. In a competitive marketplace, data driven innovation form a key pillar in twenty-first century sources of growth.

AT WHITEHALL MEDIA’S PRESTIGIOUS BIG DATA ANALYTICS ASIA 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. Join hundreds of C-suite executives, business strategists, data scientists and analytics professionals to leverage the opportunity to harness your 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, Social)
  • 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

Previous Speakers

SPONSORS

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SUMMARY

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