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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 Michael Minelli, Michele Chambers, Ambiga Dhiraj, Dhiraj Rajaram ebook
Page: 224
Format: pdf
Publisher: Wiley
ISBN: 9781118147603

Because analytics based on huge amounts of streaming social data linked with demographics provide the possibility of creating social profiles, a door has been opened for new types of abuse that may create invisible legal issues. 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. May 20, 2014 - The ongoing IRS scandal, in which various groups were targeted according to keywords such as “tea party” in the search for infractions, has important lessons for emerging big data techniques. Customer lifetime value (CLV) is a standard metric that you can calculate from big-data analytics' impact on customer acquisition, onboarding, retention, upsell, cross-sell and other concrete bottom-line indicators, as well as from corresponding improvements in operational efficiency. Dec 17, 2013 - But for anyone with an understanding of how big data analytics can impact revenue, help businesses understand their customer base, and find new business opportunities, the acquisition seems like a very shrewd move. Most organizations today use some element of business intelligence, even if it's basic dashboards, reporting and scorecards. That business intelligence and big data algorithms are here to help analysts, not replace them. Business Intelligence, Security+Privacy. Find out We anticipate a growing acceptance of cloud analytic deployments, especially those that support an end-to-end value chain. 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. The next step for business intelligence clearly involves an increase in the amount of information being examined. Sep 5, 2012 - According to a study released in April 2012 by Techaisle, a survey of over 800 SMBS revealed that 34 percent of US mid-market businesses that are currently using business intelligence are also interested in big data analytics. May 19, 2014 - Today at Cisco Live, Cisco's annual IT and communications conference, Splunk Inc. As the Prediction: Companies will put business intelligence in the hands of employees. While the process of collecting and using data may fail without oversight, plenty of companies are ready to make it part of their operations. Apr 17, 2014 - 9 pros discuss business intelligence, big data, and analytics and share their predictions about where it's all headed. Apr 14, 2014 - The improvement of analytics through big data may be best when guided by human hands. May 15, 2014 - “You need a team of dedicated data scientists to develop and tune the core intellectual property–statistical, predictive, and other analytic models–that drive your Big Data applications. The Age of Agile Analytics in Contingent Workforce Management.