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 statistical analytics


Predictive Analytics; the Future of Business Intelligence
Business intelligence (BI) is evolving as it grows in popularity. Within BI, there is a shift from traditional analytics to predictive analytics, and predictive

statistical analytics  will find if the statistical patterns match those assumptions. Predictive analytics go beyond those assumptions to discover previously unknown data; it then looks for patterns and associations anywhere and everywhere between seemingly disparate information. Let's use the example of a credit card company operating a customer loyalty program to describe the application of predictive analytics. Credit card companies try to retain their existing customers through loyalty programs. The challenge is predicting

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

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Business Intelligence (BI)

Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications provide users with valuable insights into key operating information to quickly identify business problems and opportunities. Users are able to access and leverage vast amounts of information to analyze relationships and understand trends that ultimately support business decisions. These tools prevent the potential loss of knowledge within the enterprise that results from massive information accumulation that is not readily accessible or in a usable form. It is an umbrella term that ties together other closely related data disciplines including data mining, statistical analysis, forecasting, and decision support. 

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Documents related to » statistical analytics

Using Predictive Analytics within Business Intelligence: A Primer


What are predictive analytics, and how are they used within business intelligence applications and for business performance management?

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Why Are CRM and Analytics Intrinsically Connected?


The new metrics of customer profitability, lifetime value, and wallet share are needed to supplement the traditional metrics of market share and penetration. Typical functional components of marketing automation include customer data cleansing and analysis tools, and campaign management systems.

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Predictive Analytics and the Evolution of BI


In the last couple of years, the popularity of predictive analytics offerings has increased significantly, as many companies looking to improve their existing business intelligence (BI) and analytics faculties are looking to the field of predictive analysis to enhance these capabilities, and in some cases even replace them. But, is predictive analysis really the new BI? Is it a replacement for the

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In-Memory Analytics: A Multi-Dimensional Study


The primary bottleneck to high-performance multidimensional analysis has been slow hard drive speed—the time it takes for data to be transferred from disk storage to random access memory (RAM). With crashing RAM prices and 64-bit addressing, in-memory architecture provides new and innovative solutions for online analytical processing (OLAP). This article looks at why and how in-memory technology transforms analytic applications for BI.

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Business Analytics for Midsize Businesses: Challenges and Benefits


Business intelligence derived from analytics has given large companies an edge for years. And now, midsize businesses are increasingly eager to reap similar benefits. A recent survey of information technology (IT) managers in midsize companies, conducted by Slashdot, identified the key challenges and incentives midsize businesses face around business analytics and intelligence. Read the results of the survey.

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Accelerating Time to Value for Analytics with IBM Business Partners in Midsize Organizations


This Nucleus Research report describes how midsize firms can improve the scope and effectiveness of their business analytics deployments and shorten project cycle time by engaging with an IBM Business Partner for deployment and configuration.

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Business Analytics-Turning Data into Insight


In an era of smarter analytics, it is imperative that businesses leverage the massive quantities of data available to them. In order to remain competitive, data must be transformed. Watch this video to learn more.

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Clearwater Analytics, LLC


There are currently no details available for this vendor. However, we are working to update this vendor’s information in our database as soon as possible. Please check back again.

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Vanguard Business Analytics


Founded in 1993, Vanguard Business Analytics Inc. delivers performance management solutions that help companies interpret and analyze business information. The company focuses on small and medium manufacturers and distributors. Vanguard is headquartered in Chicago (US), with additional offices in the United Kingdom and affiliates around the world. Some of its customers are Bayer AG, Intertape Polymer Group, Noveon, Parker Hannifin, Wyandot Snacks, and General Dynamics C4 Systems. Vanguard is a partner of technology firms such as PeopleSoft, CIBER Enterprise Solutions, Lilly Software Associates, WorkWise, Infor Global Solutions, IBM, and Microsoft.

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Healthcare Analytics


Wipro's healthcare and life sciences analytics combine fully automated discovery and analysis technologies that give healthcare organizations a clear picture of their patients and administrative activities, using enterprise data to improve all facets of their operations, such as ordering supplies and defining patient treatment plans.

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