Big Data Analytics

7 November 2019

Business Design Centre, London



showcasing the latest Big Data Analytics insights and innovations for large enterprise organisations


“It’s been really good, we’ve had a huge number of people here, some excellent conversations and been busy all day.” IBM, Big Data Business Development Manager.

At a glance

Do you know how to identify the main pain points in your big data analytics framework, implement the necessary architecture to influence infrastructural considerations, and the strategy required across your organisation to achieve maximum competitive advantage?

The effective procuring and deployment of big data tools, the identification of opportunities that arise from achieving quality in data, the size and scale of the regulatory space, and the increasing threat from hostile actors, requires you to continuously rebuild to ensure that you are prepared for future developments in technological disruption and the global political economy.

Our 16th biannual Big Data Analytics conference will explore the current climate and future projections for the big data environment at the strategic, enterprise-wide level, how to mitigate ethical and privacy issues, innovations in people and processes, and highlight best practice in digital transformation and becoming a data-driven organisation.


“Great event, great number of attendees and really high-quality people as well, we are very impressed.” LOGI ANALYTICS, Large Enterprise Sales Director.


Data Science, Engineering, Architecture

  • Big Data and Emerging Technologies (IoT, AI, ML, Blockchain)
  • Solving data quality issues
  • Machine Learning
  • Business and ICT Collaboration
  • Data visualisation
  • Data compression and discovery
  • Architectural design
  • Understanding the big data ecosystem and landscape
  • Database design techniques
  • Popular frameworks, tools, and platforms including Hadoop, Spark, etc.
  • Cloud computing benefits and challenges
  • Predictive analytics and forecasting
  • Scalability and Performance
  • Unlocking Operational Efficiencies
  • Data Mining: Visibility into the unknown
  • Real-time data intelligence

Data Governance, Privacy, Security

  • Getting value from unstructured data
  • Mitigating ethical and privacy issues
  • Simplifying regulatory compliance
  • Data management and warehousing
  • Ensuring quality of data
  • Data integrity and encryption
  • Governance capabilities and tools
  • Information privacy
  • Data protection (GDPR)
  • Protecting data in rest and transit
  • Disaster Recovery and Data Loss Prevention
  • Collection and dissemination of data
  • Monitor and manage third party relationships
  • Security Analytics (combatting fraud, insider attacks and APTs)

Leadership, Business Strategy and Outcomes

  • Actionable business insights
  • Innovation in people and processes
  • Growing revenue streams and profit margins
  • Data driven leadership
  • Role of the Data and Analytics Officer
  • Implementing an enterprise-wide data strategy
  • Digital transformation realisation
  • Becoming a data driven organisation
  • Extracting value from big data
  • Positively exploiting big data for monetisation
  • Recruiting, retaining, attracting data skills

Featured Speakers