Big Data Market Segment LS
Big Data Market Segment RS
Tuesday, 20 May 2014 15:39

Deloitte partners with big data analytics provider Guavus Featured


Business and financial advisory firm Deloitte has formed an alliance with the Silicon Valley-based big data analytics provider Guavus to service the Australian market.

Anthony Viel, Deloitte Managing Partner Data Agenda says that in addition to assisting Australian telcos seeking customer, operational and performance improvements, the firm will utilise the Guavus platform to benefit businesses with “foreseeable big data challenges operating in the financial services, retail, energy industries as well as the public sector.”

Deloitte today announced it had entered into a Memorandum of Understanding in Australia to work with Guavus to assist organisations with their big data analytics and operational challenges.

“As businesses collect and store more and more data, taking these assets and converting them into actionable insights presents both major challenges and major opportunities,” Viel said.

“Introducing Guavus to the Australian market is an exciting development for Deloitte and for any business looking to extract actionable insights in real time from increasingly large and complex data streams and drive better business strategy and decision making.

“Guavus has developed a highly effective operational intelligence platform that addresses today’s big data challenges by turning streaming data from multiple sources into the right action at the right time.

“Traditional approaches for collecting, loading and processing data have limitations that impact the ability to produce immediate results.

“Guavus’ innovative ‘live analytics’ model puts high volume data to work – up to hundreds of billions of events or petabytes per day – to uncover new insights and allow clients to make better informed and more timely decisions,” Viel said.

According to Guavus CEO Manish Goel the outcomes of better informed and faster decision making can mean “new revenue streams, reduced operating costs and happier and more loyal customers.”

Goel said that in today’s increasingly complex business environments, “every company’s data assets hold the key to improving profitability and competing more effectively.”

“Guavus is delighted to combine its proven big data analytics solutions for operational intelligence with Deloitte Australia’s deep knowledge of their clients’ business to help enterprises increase revenue, reduce cost and risk, and improve customer experience.”

According to Viel, current big data analytics practice is a store-first approach, followed by searches for insights and opportunities in data that is days, weeks or even months old, and it becoming “increasingly difficult and costly to analyse the huge amounts of data an organisation stores.

“Guavus has flipped the paradigm, taking a constant, real time, analyse-first approach that drives faster insights and faster actions by rapidly correlating large and diverse streaming and static data.

“Tapping and analysing data as it arrives, rather than looking for specks of gold in an increasingly huge and largely redundant data lake, allows business to understand issues almost instantaneously, implement solutions faster, and at significantly less cost.”

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Peter Dinham

Peter Dinham - retired and is a "volunteer" writer for iTWire. He is a veteran journalist and corporate communications consultant. He has worked as a journalist in all forms of media – newspapers/magazines, radio, television, press agency and now, online – including with the Canberra Times, The Examiner (Tasmania), the ABC and AAP-Reuters. As a freelance journalist he also had articles published in Australian and overseas magazines. He worked in the corporate communications/public relations sector, in-house with an airline, and as a senior executive in Australia of the world’s largest communications consultancy, Burson-Marsteller. He also ran his own communications consultancy and was a co-founder in Australia of the global photographic agency, the Image Bank (now Getty Images).





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