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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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 impementation of data mining


Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing

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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 » impementation of data mining

Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox


Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data warehouse.

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Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond


For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data.

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Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

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The Best of Both Worlds: Gain Flexibility through Multiple Models of Software Delivery


Lower IT costs, faster return on investment (ROI), and better security—just a few of the promises the software-as-a-service (SaaS) business model makes. SaaS can help small-to-medium businesses manage customer service and support cost-effectively. But there are a few concerns to consider if you’re thinking of an on-demand service. A vendor that offers the best of both on-demand and on-premise solutions may be the answer.

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Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses


Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more.

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Busting Out of the Inbox: Five New Rules of 1to1® E-mail Marketing


Situating e-mail in a multichannel marketing plan is more complicated than it used to be. Where exactly does e-mail fit in the world of blogs, vlogs, and podcasts—where MSN, Google, and Yahoo! call the shots? Marketers need to understand which strategies and tactics are most effective to ensure that their e-mails will be delivered, opened, and acted upon.

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Optimizing Gross Margin over Continously Cleansed Data


Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally.

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Data Management and Analysis


From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As).

For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most accurate data tools and systems in place to efficiently carry out their daily tasks. Data generation development, data quality, document and content management, and data security management are all examples of data-related functions that provide information in a logical and precise manner.

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The Future of the SAP Economy—A Book Review of SAP Nation


P.J. Jakovljevic reviews a fascinating new book about software vendor SAP. And what a story it is! Written by Vinnie Mirchandani, it chronicles the current and future prospects of a $200 billion giant that has a glorious and profitable past—but may be looking at a future fraught with serious challenges at every turn.

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Maximize the Green Efficiency of Multi-Site National Rollouts of Technology


The service industry consumes millions of gallons of fuel and expends trillions of pounds of carbon monoxide each year as trucks roll to installation and service locations. Eliminating unnecessary travel is one way service companies can help protect the environment, and meet environmental compliance requirements. Discover a methodology that can help you reduce your fleet’s fuel consumption and carbon monoxide emissions.

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