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5 interesting Big Data articles

23rd March 2016

Preparing this upcoming March BDA conference, at Exoscale, we’ve been out surfing the web again, in search of interesting or entertaining bits and pieces of […]


Critically Engaging with Big Data

5th February 2016

We often hear of the multiple benefits big data can bring to the corporate space and to society at large.


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THE UK’S PREMIER CROSS-INDUSTRY EVENT
showcasing the latest Big Data Analytics insights and innovations for large enterprise organisations

At a glance

INFORMATION IS BURGEONING INSIDE BUSINESSES AT AN EXPONENTIAL RATE, GENERATED BY SOCIAL MEDIA, TRANSACTIONS, SMARTPHONES AND OTHER SOURCES.

The total amount of data being captured and stored by industry doubles nearly every year. Enterprises are gathering more data, at a faster pace, than ever before and companies are increasingly looking to tap into the potential of these vast swathes of fast-moving, unstructured and complex streams of data to achieve step-change improvements in growth and performance.

Big Data is much more than simply a matter of size – it presents an opportunity to discover key insights and emerging trends in data, make business more agile, board room decisions better informed, and answer questions that have previously been considered unanswerable. In a competitive marketplace, data driven innovation form a key pillar in twenty-first century sources of growth.

AT WHITEHALL MEDIA’S PRESTIGIOUS BIANNUAL 11TH BIG DATA ANALYTICS CONFERENCE
we showcase Big Data use cases and techniques that drive the greatest business value. With an emphasis on real-life implementation of Big Data technologies, this practical business forum will provide bold vision from leading innovators across the data-driven spectrum. Join hundreds of C-suite executives, business strategists, data scientists and analytics professionals to leverage the opportunity to harness your data for competitive advantage.

FEATURED TOPICS

  • Asking Questions of Enterprise Data
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  • Behavioural Insights
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  • Customer/ User / Transaction / System Analysis and Insights
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  • Data Lakes, and Deriving Value from Large Data Sets
  • Data Migration, Integration, Synchronisation
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  • Data Quality and Cleansing
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