Posts about Big Data Analytics

Digital-first companies like Google, Amazon, Netflix, Airbnb, etc. haven’t only disrupted, but downright transformed their respective industries. Consider the success of Uber, which revolutionized the taxi industry, reporting monthly trips in excess of 50 million, without even owning a single vehicle. How did they do it? This was accomplished by combining modern-day machine learning algorithms and analytics strategies with flexible business and pricing models, while offering unique benefits to both drivers and riders at the same time. In hindsight, it can now be safely said that the transportation service industry and a geolocation app are thick as thieves. Uber recognized this synergy and capitalized on it. It’s Economics 101: they created a dynamic demand/supply-based resource optimization and pricing model ...


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Data loads are getting larger, data ecosystems are becoming more distributed and data users are demanding real-time performance. For the enterprise, this is the triple-play of bad news because it puts the pressure on legacy network architectures to function in ways that their designers could scarcely imagine ...
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The number of connected devices is set to overtake world population this year (8.4 billion), while more than half of us are already using the internet today. This incredible growth in connectivity is driving a huge volume of digital traffic and imposing advanced networking requirements ...

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The telecommunications market is facing disruption from all directions as the traditional roles of the communications, broadcast and IT industries converge. This convergence is enabling new services and business models, but also a reinvention of the telco into a new type of CSP that is decidedly different to the traditional model. This new CSP is also a full-service IT provider – in which traditional telco services run over the data network with an increased focus on business-to-business services ...
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According to a recent KPMG survey of 144 CIOs, 69% stated that data and analytics were crucial or very important to their business. However, 85% also said that they don’t know how to analyze the data they have already collected and 54% said their greatest barrier to success was an inability to identify the data worth collecting.
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