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big data analytics

Results 376 - 384 of 384Sort Results By: Published Date | Title | Company Name
Published By: Verint     Published Date: Apr 18, 2013
The vision for Celent’s Model Bank research was to try to answer an apparently simple question: “What would it look like for a bank to do everything right with today’s technology?” Of course, the question is not nearly as simple as it appears. The terms “everything” and “right” will mean very different things to different banks depending on their size, the complexity of their operations and product sets, and their technological starting points. While there is no such thing as a “Model Bank”—every bank does some things well, and others not as well when it comes to technology—it is possible to conceive of a “Model Bank” through real world examples of effective usage of technology.
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banking, big data, technology, financial, effective use, analytics, finance
    
Verint
Published By: Verint     Published Date: Apr 24, 2013
Commonwealth Bank of Australia, with over 1,000 branches and 50,000 employees was using spreadsheets to staff its branch network. When they looked to desktop process analytics from Verint they achieved major improvements in productivity and customer experience. Watch this case study to learn more about how desktop process analytics can use big data to help your organization.
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case study, big data, organization, desktop process analytics, process management, analytics, workforce management
    
Verint
Published By: Visier     Published Date: Jan 25, 2019
John Schwarz founded Visier to address what he saw as the major failing of business intelligence and big data analytics. He had a front row seat in this market while leading Business Objects, the largest global business intelligence provider (acquired by SAP). John and co-founder Ryan Wong’s vision was to completely reinvent the approach to analytics, providing instant and complete, domain-specific applications to business leaders, answering their important strategic questions and leading them to adopt best management practices. Their applied business analytics project is working. Today, more than a hundred blue chip companies have selected Visier as their people strategy platform and are achieving incredible results. And that’s just the beginning.
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Visier
Published By: VMTurbo     Published Date: Oct 25, 2013
Your business is complex. And although Big data promises to manage this complexity, the technology services that run your business are also complex. It is possible to combat this complexity with IT analytics. Read this report to learn how IT analytics that turns big data efforts inward can effectively manage the technology services that run your business.
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forrester, vmturbo, big data, analytics, it analytics, it infrastructure, operations, technology services
    
VMTurbo
Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
Today, businesses pour Big Data into data lakes to help them answer the big questions: Which product to take to market? How to reduce fraud? How to retain more customers? People need to get these answers faster than ever before to reduce “time to answer” from months to minutes. The data is coming in fast and the answers must come just as fast. The answer is self-service data preparation and analytics tools, but with that comes an expectation that the right data is going to be there. Only by using a data catalog can you find the right data quickly to get the expected insight and business value. Download this white paper to learn more!
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Waterline Data & Research Partners
Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
Business users want the power of analytics—but analytics can only be as good as the data. The biggest challenge nontechnical users are encountering is the same one that has been a steep challenge for data scientists: slow, difficult, and tedious data preparation. The increasing volume, variety, and velocity of data is putting pressure on organizations to rethink traditional methods of preparing data for reporting, analysis, and sharing. Download this white paper to find out how you can improve your data preparation for business analytics.
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Waterline Data & Research Partners
Published By: Workday     Published Date: Aug 07, 2018
Today, big data is everywhere. But only companies that know how to realize its true potential are gaining the competitive edge. Join HBR and Eric Siegel, author of Predictive Analytics: Who Will Click, Buy, Lie, or Die, to learn how you can transform data into insight, predict the future, and win.
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Workday
Published By: Xactly     Published Date: Dec 05, 2016
Find out how Xactly Insights can help you gain greater visibility into and understanding of the data of your peers and your own organisation, all year round.
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sales and finance, compensation, data analytics, big data, sales, business analytics, data, finance
    
Xactly
Published By: Zaloni     Published Date: Apr 23, 2019
Although data and analytics are highlighted throughout the popular press as well as in trade publications, too many managers think the value of this data processing is limited to a few numerically intensive fields such as science and finance. In fact, big data and the insights that emerge from analyzing it will transform every industry, from “precision farming” to manufacturing and construction. Governments must also be alert to the value of data and analytics as the enabler for smart cities. Institutions that master available data will leap ahead of their less statistically adept competitors through many advantages: finding hidden opportunities for efficiency, using data to become more responsive to clients, and developing entirely new and unanticipated product lines. The average time spent by most companies on the S&P 500 Index has decreased from an average of 60 to 70 years to only 22 years. There are winners and losers in the changes that come with the evolution of both technology
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Zaloni
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