Download e-book for kindle: Big Data, Big Analytics: Emerging Business Intelligence and by Michael Minelli

By Michael Minelli

ISBN-10: 111814760X

ISBN-13: 9781118147603

Unique potential at the significant facts analytics phenomenon for either company and IT professionals

The availability of huge information, inexpensive commodity and new info administration and analytics software program has produced a different second within the historical past of commercial. The convergence of those developments implies that we have now the services required to investigate staggering information units quick and cost-effectively for the 1st time in background. those services are neither theoretical nor trivial. They characterize a real step forward and a transparent chance to achieve huge, immense earnings when it comes to potency, productiveness, profit and profitability.

The Age of huge facts is the following, and those are actually innovative instances. This well timed ebook seems at state of the art businesses aiding an exhilarating new iteration of industrial analytics.

  • Learn extra in regards to the developments in great info and the way they're impacting the enterprise global (Risk, advertising, Healthcare, monetary prone, etc.)
  • Explains this new know-how and the way businesses can use them successfully to assemble the information that they wish and glean severe insights
  • Explores correct themes corresponding to facts privateness, information visualization, unstructured info, crowd sourcing info scientists, cloud computing for large information, and masses more.
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Extra info for Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Businesses

Sample text

Social media and mobile phones are forming the new frontiers for fraud. Despite warnings that social networks are a great resource for fraudsters, consumers are still sharing a significant amount of personal information frequently used to authenticate a consumer’s identity. Those with public profiles (those visible to everyone) were more likely to expose this personal information. 3 INDUSTRY EXAMPLES OF BIG DATA 35 In order to prevent the fraud, credit card transactions are monitored and checked in near real time.

You can see how all of these experiences are coming together. I have very vehemently argued with companies that they need to think from an organizational perspective. Today they are organized to execute in an online world or an offline world. They need to organize for the non-line world. It has an implication of people, systems, marketing programs, data analysis. Non-line to me is this aspirational state where companies need to get to, but the truth is consumers are already there and have been for the last three to four years.

Kaushik elaborates: In order for you to actually find the data, one of the ways you would do it is you’d pop up a survey at the end of the visit by the person and you’d ask two different questions: Why are you here? Then they would ask you, were you able to complete your task? If the answer comes back to be no, it dynamically asks you what were you looking for. Then you would use that actual text by the user in order to understand what is it that people want that doesn’t execute the code that would give the content that people really want.

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Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Businesses by Michael Minelli


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