BDA EUROPE

Big Data Analytics

10 March 2020

Van Der Valk Hotel, Utrecht

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EUROPE’S LEADING BIG DATA, ANALYTICS, MACHINE LEARNING AND AI EVENT FOR ALL MAJOR BUSINESS SECTORS

Showcasing the latest innovations, insights and cutting-edge use cases for large enterprise organisations looking to exploit the potential of Big Data

 

“It’s been a good experience for us, it’s been a very busy show so a lot of people here and the quality of the delegates has been very good.” JASPERSOFT, UK Account Manager.

At a glance

Looking to 2020 and beyond it is clear that the big data analytics market will continue to grow; with 2016 valued at $130 Billion to $203 billion in 2020. That represents an annual compound growth of 11.7% over the course of four years. With this growth, data monetisation has become one of the primary sources of revenue for large corporates.

As organisations become more technically minded when it comes to valuing their data, it appears that the shift will not be one of ability but culture. In an attempt to promote the necessary cultural change required in order to support data-centric transformation, businesses will increasingly position their Chief Data Officers as the lead in data monetisation initiatives.

By 2025, the world will have created 180 zettabytes data {180 trillion gigabytes} which serves to reinforce the need to transform our typically historical approach to work and what constitutes value as old sources of revenue become as obsolete as the horse drawn cart.

In 2018, 85% of business leaders reported that their firms had started programmes to create data-driven cultures, but only 37% reported success. Quite simply, as big data gets even bigger, so too will the challenges it represents.

“It’s been very good working with Whitehall Media, they’re very professional, always available to help us out with any issues we might have.” SAP, Director of Consumer Industries.

FEATURED TOPICS

  • Actionable Business Insights
  • Analytics and Reporting
  • Applied Statistics and Evaluation
  • Artificial Intelligence
  • Behavioural Insights
  • Business and IT Collaboration
  • Business Intelligence and Analytics
  • Capacity and Data Monetisation
  • Compliance, Security, GDPR
  • Customer/ User / Transaction / System Analysis and Insights
  • Data Compression, Discovery, Management
  • Data Engineering and Architecture
  • Data Governance and Protection
  • Data Lakes, and Deriving Value from Large Data Sets
  • Data Migration, Integration, Synchronisation
  • Data Quality and Cleansing
  • Data Science Skills, Talent and Training
  • Data Visualisation
  • Data-Driven Enterprise Applications
  • Disaster Recovery and Data Loss Prevention
  • Emerging Technologies
  • Enterprise Data Management
  • Fast Data and Processing Data Streams
  • Generating New Revenue Streams / Maximising Profit Margins
  • Governance and Regulation
  • Implementing Big Data Architectures (strategy, challenges, opportunities)
  • Improved Business Decision-Making
  • Improved Operational Performance
  • Insights from unstructured data
  • Machine Learning and Neural Networks 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
  • Tools for Complex Workloads: Kafka, Hadoop, Spark, Cassadra, MapR etc.
  • Unlocking Operational Efficiencies
  • Visibility into the unknown
  • Web Intelligence / Social Media Analytics

Featured Speakers

SPONSORS

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SUMMARY

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