“With the sheer volume of data being from unstructured sources, such as sensors, users’ context, social media, video content and weblogs creating a massive ‘data lake’, all this information has to be stored, categorised, visualised and analysed to deliver real value to a business,” said Dana Pavel of TecVis, and a CW Big Data SIG Champion at the CW event hosted yesterday at Eversheds LLP in London.
The CW event was split into two sessions, reflecting some of the key areas of data analytics: dealing with a variety of input data and creating data visualisations. Lorraine Stone, UK Country Manager Telefonica DI and Big Data, provided an insightful look into how crowd data is creating commercial opportunities. “Smart Steps uses anonymised and aggregated mobile network data to provide extrapolated trends about the movement of anonymous crowds by time, gender, age, and mode of transport,” explained Stone.” Over the past 18 months we have built significant market momentum and delivered valuable insights for clients, enabling them to better understand and serve their customers. In this time we have also learnt a considerable amount about how to process a large volume of data and consistently extract high quality insights.”
An exploration of the technical and practical challenges to connect data were explored by Shorful Islam, Managing Partner at Wunderman Data and Insights. He said: “With the ever increasing amounts of data collected about consumers from the various devices and touch points, the ability to connect and harness this data across these areas becomes a challenge.”
Dominic Stubbins, Chief Architect, Esri UK and Mrunal Shridhar, Customer Solutions, EMEA, Tableau, provided an in depth look into the visual representation of Big Data. Stubbins’ presentation on location analytics, advanced visualisation and big data spatial tools indicated how organisations can analyse their data across space and time, rather than using a static map.
Mrunal commented, “Current tools and technologies are limiting in nature - be it their non-visual reporting style, or the current workflows, skills and time requirements. Tableau is fundamentally challenging these limitations and promoting a more self-service model that is not just visual, but iterative. This allows a normal data worker from connecting to data, to asking deep analytical questions, to sharing their findings with a broader audience.”
Phil Claridge, of JDSU UK, concluded in the open forum, “The technological foundation for Big Data analysis is now well established, but continues to evolve. The challenges remain how to make capture of Big Data intrinsic to corporate operations, then how to apply the appropriate processing for the task to extract, visualise and profit from the resulting business information.”
To view the presentations from this event please visit www.cambridgewireless.co.uk/resources
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About Cambridge Wireless (CW)
CW is the leading international community for companies involved in the research, development and application of wireless & mobile, internet, semiconductor and software technologies. With 400 members from major network operators and device manufacturers to innovative start-ups and universities, CW stimulates debate and collaboration, harnesses and shares knowledge, and helps to build connections between academia and industry. CW's 19 Special Interest Groups (SIGs) provide its members with a dynamic forum where they can network with their peers, track the latest technology trends and business developments and position their organisations in key market sectors. CW also organises the annual Future of Wireless International Conference and Discovering Start-ups competition along with other high-quality industry networking events and dinners. With headquarters at the heart of Cambridge, UK, CW partners with other international industry clusters and organisations to extend its reach and remain at the forefront of global developments and business opportunities. For more information, please visit www.cambridgewireless.co.uk
For Cambridge Wireless please contact:
Lily Cheng
Cambridge Wireless
01223 967101, lily.cheng@cambridgewireless.co.uk