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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

SAP to Bring Predictive Analytics to the Masses


Traditionally, SAP has not been a leader in predictive analytics, at least not until its acquisition of Business Objects and the advent of SAP HANA. SAP has announced its plans to acquire KXEN, a provider of predictive analytics technology. KXEN is intended to complement SAP Predictive Analysis software, a workbench for defining, executing, and visualizing predictive analysis. With increasingly

statistical analytics  opens up all the statistical functions available in one of the world’s most popular open source projects. The acquisition is expected to allow SAP to introduce new predictive capabilities to the portfolio of solutions for more than 25 industries, particularly data-intensive vertical industries such as telecommunications, retail, consumer products, manufacturing, and financial services. With these capabilities, SAP should give the traditional predictive analytics players— SAS, IBM SPSS, Pegasystems Read More

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.

statistical analytics  online analytical processing (OLAP), statistical analysis, data mining, and text mining. Analytic applications are most often built on large volumes of data and this presents a significant demand on memory. Such applications are also anchored on complex data structures that emulate business models. As business models change, corresponding data structures also have to change. Every structural change requires costly time and effort to re-design and re-optimize. This article examines how in-memory Read More

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.

statistical analytics  deeper. It is a statistical method that includes all analytics to predict the probable future outcome of an event and falls under data mining , a class of database applications that look for hidden patterns and support decision-making by forecasting the outcomes of different scenarios. Ultimately, given the depth of information MA processes can pull out, MA is an integral part of a sound CRM strategy that can help drive organizational alignment through its analysis of markets, customers, and segments. Read More

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

statistical analytics  of various analytical and statistical techniques to build a mathematical model in an attempt to predict the future outcome of a certain scenario of study. From statistics to game theory, predictive analysis techniques make use of historical data to create predictions, usually by capturing relationships between explanatory (independent) variables and “predictors” (predicted variables) from past events. Two major modeling types can be applied: classification (for predicting categorical/discrete Read More

Clearwater Analytics, LLC


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Make Better Decisions with Social Media Analytics


Learn how IBM Social Media Analytics can help you improve marketing, customer service, product development, and human resources, with a deeper, more personal understanding of your target audience.

statistical analytics  Better Decisions with Social Media Analytics Learn how IBM Social Media Analytics can help you improve marketing, customer service, product development, and human resources, with a deeper, more personal understanding of your target audience. Read More

Business Analytics: New Opportunities for the Medium-size Business


New business analytics solutions are bringing large-enterprise solutions and benefits down to the medium-size business’s level. They are exceptionally comprehensive but exceptionally customizable to the needs of the individual business, easy to upgrade to target new strategic initiatives, and in tune with customer trends such as social media use. This paper discusses one such effective business analytics solution.

statistical analytics  Analytics: New Opportunities for the Medium-size Business New business analytics solutions are bringing large-enterprise solutions and benefits down to the medium-size business’s level. They are exceptionally comprehensive but exceptionally customizable to the needs of the individual business, easy to upgrade to target new strategic initiatives, and in tune with customer trends such as social media use. This paper discusses one such effective business analytics solution. Read More

The Forrester Wave™: Big Data Predictive Analytics Solutions, Q1 2013


Predictive analytics enables firms to make intelligent decisions, and create differentiated customer experiences. But predictive analytics is hard to do without the right tools and technologies. Here are the findings of Forrester’s 51-criteria evaluation of 10 data predictive analytics solutions. Find out how well each solution fulfills the criteria, where they stand in relation to each other, how delivery professionals select the right one, and more.

statistical analytics  Forrester Wave™: Big Data Predictive Analytics Solutions, Q1 2013 Predictive analytics enables firms to make intelligent decisions, and create differentiated customer experiences. But predictive analytics is hard to do without the right tools and technologies. Here are the findings of Forrester’s 51-criteria evaluation of 10 data predictive analytics solutions. Find out how well each solution fulfills the criteria, where they stand in relation to each other, how delivery professionals select the Read More

Predictive Analytics for Business Advantage: TDWI Best Practices Report


Predictive analytics is fast becoming a decisive advantage for achieving a range of desired business outcomes, including higher customer profitability, stickier websites, and more efficient and effective operations. Predictive analytics involves methods and technologies for organizations to spot patterns and trends in data, test large numbers of variables, develop and score models, and mine data for unexpected insights. This report from TDWI examines users’ drivers, experiences, and best practices for improving business advantage with predictive analytics.

statistical analytics  Analytics for Business Advantage: TDWI Best Practices Report Predictive analytics is fast becoming a decisive advantage for achieving a range of desired business outcomes, including higher customer profitability, stickier websites, and more efficient and effective operations. Predictive analytics involves methods and technologies for organizations to spot patterns and trends in data, test large numbers of variables, develop and score models, and mine data for unexpected insights. This report Read More

Attensity Social Analytics Suite


Attensity’s suite of social analytics and engagement applications is built on Attensity's text analytics platform and offers organizations the key capabilities they need to leverage customer conversations as a business asset.  

statistical analytics  Social Analytics Suite Attensity’s suite of social analytics and engagement applications is built on Attensity's text analytics platform and offers organizations the key capabilities they need to leverage customer conversations as a business asset. Read More

Rethinking Analytics for the Social Enterprise


Analytics can be transformative within an enterprise, but it is hard work to make it happen. Innovative organizations need to invest not only in the appropriate technology but also in human capital. This investment will represent an ongoing commitment—the data overload and increased customer expectations that we talk about will continue to accelerate and technology and analytical aptitude will need to keep up. Read this white paper to understand the social enterprise.

statistical analytics  Analytics for the Social Enterprise Analytics can be transformative within an enterprise, but it is hard work to make it happen. Innovative organizations need to invest not only in the appropriate technology but also in human capital. This investment will represent an ongoing commitment—the data overload and increased customer expectations that we talk about will continue to accelerate and technology and analytical aptitude will need to keep up. Read this white paper to understand the social Read More

Clabby Analytics


Clabby Analytics is a technology research and analysis firm specializing in analysis of systems, storage, and networks. The company publishes reports for vendors, magazines, and news sources like TechTarget.

statistical analytics  Analytics Clabby Analytics is a technology research and analysis firm specializing in analysis of systems, storage, and networks. The company publishes reports for vendors, magazines, and news sources like TechTarget. Read More