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Software Functionality Revealed in Detail
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 mining models


Data Mining: The Brains Behind eCRM
Data mining has emerged from obscure beginnings in artificial intelligence to become a viable and increasingly popular tool for putting data to work. Data

mining models  as a recommendation. Data mining models created by supervised learning are often applied in cases where users wish to understand the outcome or consequences of a given set of customer profile data never before encountered. By supplying both the inputs and expected outputs, supervised learning allows users to create models for prediction and identification. In contrast to supervised learning, unsupervised learning constructs data mining models independent of any supplied performance criteria. The

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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

Documents related to » mining models

Inflation’s Demise: The Impact on Business Informa


Enterprise Resources Planning (ERP) business models and information systems originated in the 1970s and 1980s, an inflationary period. They addressed business priorities that were strongly influenced by inflation. Many manufacturers are now confronting worldwide price stability, or even deflationary pressure, and can

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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.

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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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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.

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HopeRun


HopeRun, established in 1998, provides offshore software outsourcing services to international clients. In accordance with various business models and requirements, HopeRun builds customized solutions for its customers. As a Capability Maturity Model Integration 3 (CMMI3)-certified software provider, the company has an experienced development team, a quality assurance (QA) system, and a professional staff. HopeRun focuses its efforts in the core fields of telecommunication and the Internet, providing offshore software outsourcing services using technology such as Web, .NET, and JAVA. The company provides the following types of services: system design, software development, testing and maintenance, on-site operation, product customizing, and localization. The services from HopeRun can help enterprise customers become more competitive and rationalize cost distribution. HopeRun has implemented over 100 offshore software outsourcing projects covering such diverse fields as mobile technology, banking, telecom, auto-making, e-business, and more. The scales of these projects range from a few staff to 1000 staff per month. HopeRun has headquarters in Nanjing (China), with offices in Beijing and Shanghai.

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ToolsGroup


ToolsGroup provides supply chain planning and predictive demand analytics software that models the demand signal across multiple dimensions. ToolsGroup customers can master demand volatility, achieve better service levels, and decrease global inventory. ToolsGroup customers include manufacturers, wholesale distributors, and retailers in a wide range of demand- and inventory-driven industries.

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Governance of Federated Business Models


During the last twenty years, businesses migrated from vertical integration to a virtual model, outsourcing all their non-core functions. This has created challenges in aligning the strategies and activities of all these functions dispersed across the supply chain, each in separate legal entities. The next phase of evolution to emerge is the "dynamic federation", or federated supply chain which is governed differently than both vertical and virtual businesses.

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A Made2Manage Systems Customer Profile: The Story of PEMCO Corporation


PEMCO Corporation, a manufacturer of high quality mining products for multinational original equipment manufacturers (OEMs), realized increased on-time delivery performance and reduced customer service costs while preventing product shortages through just-in-time material availability. The improved quality of information and improved flow of product through the plant has even resulted in revamped employee morale and job satisfaction.

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MinePoint ERP for Microsoft Dynamics AX: Mining Industry (ERP & CMMS) Competitor Analysis Report


This knowledge base includes enterprise resource planning (ERP) and computerized maintenance management system (CMMS) modules geared toward the regular requirements of companies in the mining industry. While including important criteria for financials solutions and human resources, it has additional process workflow, quality management, field service, and other criteria.

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Product Lifecycle Management (PLM)


This comprehensive product lifecycle management (PLM) knowledge base models modern product and design-related aspects of PLM for both discrete and process industries. It details product development and portfolio management, manufacturing process management, ideation and requirements management, service data, and regulatory and compliance criteria. This comprehensive knowledge base incorporates the criteria of TEC's other PLM knowledge bases.

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