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Software Functionality Revealed in Detail
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 application of data mining


Identifying the ROI of a Software Application for SCM Part 3: Performing the Data Analysis
By using software tools that help you forecast and work together with others inside your organization, and even with your customers, the forecasts may become

application of data mining  ROI of a Software Application for SCM Part 3: Performing the Data Analysis Identifying the ROI of a Software Application for SCM Executive Summary    The competitive environment for every industry grows increasingly intense. Fast, reasonably accurate information about the impact of a software investment decision grows more critical. Many decision-makers look for an exact forecast of return on investment (ROI) from the purchase of a supply chain management application. At least four very real challenges

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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 » application of data mining

The Hidden Gems of the Enterprise Application Space Part Two: Sorting and Selecting SRM Software


No vendor provides all (if even a majority) of the required solutions for a full SRM initiative at this stage, so almost all solutions will involve best-of-breed components.

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Data, Data Everywhere: A Special Report on Managing Information


The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

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Distilling Data: The Importance of Data Quality in Business Intelligence


As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed.

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The Necessity of Data Warehousing


An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding technology selection and access to historical 'legacy' data are also discussed.

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The New Virtual Data Centre


Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward.

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Mining & Quarrying


Mining is the extraction from the earth of materials used in different human activities (industry, trade, energy production, etc.). There are four major types of materials: precious metals and minerals (gold, diamonds, silver, etc.); materials used to produce energy (coal, uranium, etc.); base metals (copper, iron, etc.); and building materials (stone, sand, gravel) extracted from quarries, which are open-pit mines. There are two major types of activities specific to the mining industry: exploration, which involves the search for materials; and extraction, which is the activity of getting those materials out of the earth.

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Data Quality Trends and Adoption


While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers.

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Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management


Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.

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Linked Enterprise Data: Data at the heart of the company


The data silos of today's business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, break down data walls, provide an open, secure, and long-term technological environment, and reduce complexity—read this white paper to find out how.

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Star Soft Application


The Avançado enterprise resource planning (ERP) solution can help companies organize information from all departments in a rational and practical way, and avoid task duplication.    

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Application Lifecycle Maintenance


Lionbridge offers scalable application development and maintenance solutions that include custom software development, code enhancements, and legacy systems maintenance. Through multiple, low-cost development center options in India, Ireland, and China, Lionbridge uses a five-stage process to move critical IT activities offshore. In India, its mature, yet flexibel process frameworks have achieved a Software Capability Maturity Model level® 5 rating.  

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Achieving a Successful Data Migration


The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

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The New Era of Mobile Intelligence: the Convergence of Mobile Computing and Business Intelligence


Computing is entering its fifth generation with desktop Internet applications giving way to a new generation of mobile Internet applications. As consumers capitalize on the power of mobile devices, the same transformation is occurring in business. Learn how the convergence of business information and analytics with mobile technology is empowering business people in a way that was never possible—until now.

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Metagenix Reverse Engineers Data Into Information


Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries of the existing legacy systems (which are often incorrect). Other unique Metagenix approaches include an "open book" policy, which includes publishing product price lists on their web site and complete access to company officials, including CEO and President Greg Leman. According to Mr. Leman, "we’re pathologically honest".

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