BIG DATA AND ANALYTICS SUMMIT: practical use of analytics to deliver successful projects

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About the Summit

Sensor networks, internet usage, traffic and even human movement through towns and cities continuously generates huge volumes of data. The term "Big Data" describes the structured and unstructured information which pours out of these technologies and habits, and finds its way into data centres across the globe. And the technologies responsible for collecting, cleansing, storing, processing and visualising this data, in other words translating it into value, are evolving at a fast pace. Machine-learning and predictive analytics open up new opportunities for enterprises, whilst the Internet of Things has moved from being a buzzword to becoming a reality.

Taking advantage of these trends before your competitors leave you for dead requires new skillsets, which also forces cultural change within your business. The key questions that remain are how to get value from all this data, which tools will best suit your organisation, and what skills are necessary to thrive in the Big Data world.


The programme will comprise expert key notes, real world case studies and interactive discussion panels led by senior IT practitioners who will share their tips for Big Data technologies and data management strategies.


Please join us for a full day event to learn about:

  • The latest trends in the market
  • Practical use of predictive analytics
  • The impact of Big Data analytics on businesses
  • Challenges to tackle when implementing Big Data analytics
  • Opportunities the Internet of Things brings
  • Skills and qualities successful data scientists should have
  • Making use of unstructured data
  • Machine learning and how it can influence and advance your business
  • Evolutions of BI and visualisation and what new business opportunities are available

Latest from Twitter:


Big Data Summit: The Delegates' view

Click on the video below to hear Big Data Summit delegates discuss their issues with the technology trend.


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