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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.
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 predictive modeling techniques


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

predictive modeling techniques  focus strictly on the predictive modeling scenario that the discipline of predictive analysis is based on. Predictive analytics consists of those tools that make it possible to perform the tasks of a predictive analysis process, which involves the use 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

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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.

Compare Now

Enterprise Marketing Management (EMM)

The Enterprise Marketing Management (EMM) Knowledge Base research helps determine support levels of various systems that help companies market their services or products effectively and efficiently. EMM tools help manage strategic planning and marketing resources (sometimes referred to as marketing resource management or MRM). This KB also covers rule-based techniques, pattern recognition, and other profiling features.  

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Documents related to » predictive modeling techniques

Analyse This


Enterprise applications have long been providing the means for businesses to collect required data and deliver it to the right people. Now that sales and marketing professionals are empowered with the right tools to better serve their customers and gather insights on all customers' interactions, the question to ask is what's next? We see the answer in a tight integration between Enterprise applications and Analytics.

predictive modeling techniques  and cutting edge scientific predictive modeling techniques. Data mining software: The process of efficient discovery of nonobvious valuable patterns from a large collection of data. It uses technologies such as neural networks, rule induction, and clustering to discover relationships in data and make predictions. ETL tools: Short for extract, transform, load; three database functions that are combined into one tool to pull data out of one database and place it into another database. Extract — the Read More

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 analytics is emerging as a distinct new software sector.

predictive modeling techniques  designed to jump-start the predictive modeling process, enabling rapid development, and deployment of predictive models into enterprise-class decision applications. Fair Isaac's analytic and decision-management products and services are used around the world, and include applicant scoring for insurers, and financial risk and database management products for financial concerns. IBM Not to be left out, the world's largest information and technology company, IBM also offers predictive analytics tools. DB2 Read More

The Truth about Data Mining


It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data. Consequently, data mining technology becomes important. Here is a framework to help understand the data mining process.

predictive modeling techniques  Advanced data analysis through predictive modeling and forecasting defines this tier—in other words, data mining. Data mining has a significantly broad reach and application. It can be applied in any situation where it is necessary to discover potential knowledge from vast amounts of data. Throughout this article, the word knowledge is used to refer to meaningful patterns derived through techniques in data mining that can stimulate an organization's goals (such as company revenue, Web site traffic, Read More

BI Portal from Enterprise Software Solutions Is Now a TEC Certified Application


Business Intelligence Portal (BI Portal) from Enterprise Software Solutions (ESS) has become part of TEC’s group of certified BI applications, and is now available for online evaluation in comparison with other BI software solutions in TEC’s Business Intelligence and Data Management Evaluation Center. ESS, a US-based software provider with offices in Mexico, Colombia, South Africa, and Bulgaria

predictive modeling techniques  Portal’s key differentiating features—its predictive modeling techniques (see figure 1 below for comparison with the “average” BI product on the market according to TEC), and other BI capabilities such as reporting and analysis, analytics, data warehousing, workflow, data integration, support, and product technology features from TEC’s knowledge base. Below is an example of some outstanding capabilities from ESS’ BI Portal such as its ability for applying predictive modeling techniques Read More

How Equipment Reliability Delivers Profits


While no technology can prevent normal equipment wear or the need for maintenance, predictive analytics and the latest advances in predictive diagnostics are now helping plants to overcome their challenges by detecting impending problems early and allowing plants to take control of their operations. Download this white paper to learn how you can put these advantages to work for your organization.

predictive modeling techniques  the need for maintenance, predictive analytics and the latest advances in predictive diagnostics are now helping plants to overcome their challenges by detecting impending problems early and allowing plants to take control of their operations. Download this white paper to learn how you can put these advantages to work for your organization. Read More

Spotfire Analytics


From interactive dashboards and data visualizations to predictive analytics, Spotfire Analytics is an enterprise analytics platform that helps business and technical users quickly get to actionable insight. Spotfire Analytics helps users seize new business opportunities at every level of the organization and evade risks by providing speed and flexibility so data can be visually analyzed quickly, without requiring IT intervention.

predictive modeling techniques  and data visualizations to predictive analytics, Spotfire Analytics is an enterprise analytics platform that helps business and technical users quickly get to actionable insight. Spotfire Analytics helps users seize new business opportunities at every level of the organization and evade risks by providing speed and flexibility so data can be visually analyzed quickly, without requiring IT intervention. Read More

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

predictive modeling techniques  jock), it will complement SAP Predictive Analysis  by automating key modeling and analytical tasks. Its technology is aimed at driving greater adoption of predictive analytics across the business and enhancing the value of core SAP applications for managing operations, customer relationships, supply chains, and risk and fraud. Additionally, SAP plans to incorporate KXEN technology into cloud and on-premises SAP applications built on SAP HANA, including the SAP Fraud Management analytic application, Read More

Contextual Workflow Modeling


Activity-based workflow modeling (AWM) is a common and useful modeling technique, whose fundamental drawbacks limit its effectiveness in modeling complex, highly nuanced workflows. Contextual workflow modeling, a technology invented at Macronetics, overcomes the limitations of AWM.

predictive modeling techniques  Workflow Modeling Contextual Workflow Modeling If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. The Automate BPM Server product runs on server machines to automate workflow processes and orchestrate enterprise resources via standard data communication channels. Source : Macronetics Resources Related to Contextual Workflow Modeling : Workflow (Wikipedia) Contextual Workflow Modeling Data Environment is also known as : Data Read More

WBS Primer


The earned value management system (EVMS) is a method of tracking cost and schedule performance using work breakdown structure/earned value (WBS/EV) techniques. Formerly called C/SCSC (Cost/Schedule Control Systems Criteria) by the contract industry, an understanding of WBS basics is essential for any US contractor wishing to be selected for new major systems contracts over a certain funding threshold.

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Leveraging Technology to Maintain a Competitive Edge During Tough Economic Times -- A Panel Discussion Analyzed Part Two: Business Process Modeling


Business processes must be enabled across the artificial boundaries of disparate applications that must work together to support these business processes. To that end, business process management (BPM) could assist in compliance issues, can reduce training requirements, and increase the overall efficiency of a business.

predictive modeling techniques  Technology to Maintain a Competitive Edge During Tough Economic Times -- A Panel Discussion Analyzed Part Two: Business Process Modeling Introduction At the IFS Executive Forum , which took place on March 29 and 30 in Orlando, Florida (US), leading research analysts and industry experts discussed how companies can still leverage technology to maintain their competitive edge, even during tough economic times. The event was held in conjunction with IFS World Conference 2004 , and it included six Read More

Osterman Research, Inc.


Osterman Research, Inc. provides market research, consulting, cost modeling, surveys, and benchmarking to vendors of technology services and products.

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UML for REALbasic


REALbasic is an object-oriented programming language for Mac OS X, Windows, and Linux computers. The Unified Modeling Language (UML) is the industry-standard notation for modeling object-oriented software. This paper shows how to extract a UML design from a REALbasic project, model REALbasic software using UML, and generate REALbasic code from UML.

predictive modeling techniques  for REALbasic REALbasic is an object-oriented programming language for Mac OS X, Windows, and Linux computers. The Unified Modeling Language (UML) is the industry-standard notation for modeling object-oriented software. This paper shows how to extract a UML design from a REALbasic project, model REALbasic software using UML, and generate REALbasic code from UML. Read More

Web-hosted or SaaS Predictive Dialing for Work-at-Home Agents


Download this white paper to learn how the virtual contact center, based on the cloud computing model, provides companies with access to a greater pool of resources and eliminates geographic restrictions on sourcing talent. Learn how the virtual contact center model is growing, and how Web-hosted or cloud-based predictive dialers improve efficiency and increase talk time with live prospects.

predictive modeling techniques  hosted or SaaS Predictive Dialing for Work-at-Home Agents Download this white paper to learn how the virtual contact center, based on the cloud computing model, provides companies with access to a greater pool of resources and eliminates geographic restrictions on sourcing talent. Learn how the virtual contact center model is growing, and how Web-hosted or cloud-based predictive dialers improve efficiency and increase talk time with live prospects. Read More