Leeds, the capital of the North, is joining London, Chicago, Barcelona, Madrid, Kuala Lumpur, Ho Chi Minh, Jakarta and Rio de Janeiro as a host city for Big Data Week 2016 – the Global Festival of Data. Since they do things differently up north, they’re giving it a personal touch, hosting events across the city, working with academics, businesses, associations, and others to offer new ways to explore data and the power it has to bring about transformation. They do not rely on fame, nor formalize when it comes to holding a presentation. Big Data Week Leeds focuses on the improvements to our lives that smart data analysis and analysts can bring. They want everyone to join in and they […] Continue Reading
The cloud has transformed big data analytics with its agility, elasticity, transparency and simplicity. Keyur shares tips to leverage the power of the cloud for Big Data Analytics based on his real-life experiences at Betfair.
Working on the first Data-Lake-as-a-Service in the world gave us the perspective of how Data Lakes enable companies to understand correlations between existing and new external data in ways traditional BI tools cannot. The rise of Docker & containerized microservices has paved the way for significantly faster deployment, less overhead, easier migration & faster performance for big data apps.
Honest Café, an unmanned café chain, is a perfect example of how young new businesses are leveraging predictive analytics for the first time to make better, more strategic business decisions.
Publishers’ content can be a rich source of data on users’ interests, brand affinity and purchase intent. When users interact with articles about products and brands, they generate click, page impression and conversion data. Analyzed correctly, such behavioural signals can help us to predict their future shopping behavior.
Big Data is now the mainstay for many industries. We are seeing typical patterns of use evolving to a point where the gap between vendor and use-case is so repeatable that turn-key solutions are viable.
IoT= Big Data! In this talk Charles discusses the latest development in Big Data, Machine Learning and Data Science, and use real IoT use cases to cover lifecycle of IoT data analytics: capturing, storing, cleaning, analyzing, predicting and maintaining.
A joint presentation using a real case study to demonstrate how Telefonica’s mobile phone data can be used to derive insights, specifically featuring how Exterion Media intend to tailor advertising campaigns based on unique audience insights, changing the way that OOH advertising is bought, sold and optimized.
Sports have always been an art more than a science, and sports games a pale copy of reality. Recently, the rise of Big Date has been a fascinating game changer in the sports world. Sports performances can now be scientifically analyzed: the largest football teams in the world have embraced it by hiring dozens of data analysts.