Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Businesses by Michael Minelli, Michele Chambers, Ambiga Dhiraj, Dhiraj Rajaram

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



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Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Businesses Michael Minelli, Michele Chambers, Ambiga Dhiraj, Dhiraj Rajaram ebook
Publisher: Wiley
Format: pdf
ISBN: 9781118147603
Page: 224


Sometimes When “Big Data for Procurement” is properly analyzed, it can yield actionable business intelligence by identifying trends and correlations that cannot be found with traditional data analysis tools and methods. Apr 18, 2013 - Customer Insight/Business Intelligence As an industry still plagued by high churn rates and customers having numerous options for where they bank, financial services companies should be looking to emerging big data tools as the answer to finding hidden consumer sentiment on a real-time Sentiment analysis and predictive analytics are two of the best techniques financial services companies can implement to address the retention challenges of the industry. What I like: Delivered as a cloud platform, DataSift does the heavy lifting for companies that want to create social media monitoring, social CRM, business intelligence, financial trading and news monitoring applications. He doesn't David Smith, a self-proclaimed data scientist, asserts that, before the advent of Big Data analytics, companies relied on business intelligence. May 15, 2014 - Now in its 10th year, the 2014 Location Intelligence Summit features the emerging trends that support the integration of location technology with business intelligence, analytics and location-based mobile applications. The Age of Agile Analytics in Contingent Workforce Management. May 6, 2014 - We are living in a data driven world and companies today are inundated with constant data streams that need to be managed, analyzed, and actioned in order to be of any value. Insurers, similarly, want to predict features that will help them extend product lines and assess emerging areas of portfolio risk. Cloudmeter helps companies push the right kind of data into their analytical solutions. Apr 29, 2014 - Drenik's real concern (as the headline of his article reveals) is that the analytical processes applied to Big Data sets won't really provide the kind of value that vendors are promising. 5 days ago - Gigaom launches its Data vertical, looking at emerging and incumbent players alike. May 28, 2013 - The Big Data space is heating up, and unlike some over-hyped trends (cloud, I'm looking at you), it's pretty easy to pinpoint the ROI with these tools. Describing the useful applications of data and analytics, the advantages of data-driven decisions in business, and the underlying changes in the economics of computing and storage that have facilitated Big Data, at this point There is also the matter of the large number of companies vying for data mindshare and revenue, and the rapid pace of change and innovation in the space.

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