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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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Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
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 free reports data mining


Best Practices for a Data Warehouse on Oracle Database 11g
Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW

free reports data mining  there is not enough free space in the shared pool to allocate the buffers the parallel server will fail to start. In order to size your shared pool appropriately you should use the following formulas to calculate the additional overhead parallel servers will put on the shared pool. If you are running on a single SMP machine or you are doing inter-node parallel operations Memory = #Of Users * DOP * (4 + 2 * DOP)*parallel_execution_message_size The expression (4+2*DOP) in the equation comes from the number

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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

Mining Industry (ERP & CMMS) Software Evaluation Report

This Software Evaluation Report 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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9 Critical Characteristics to Demand from Your Timesheet Vendor


If you’ve outgrown your paper-based timesheet system, or if you have multiple time collection systems, it gets hard to understand project costs, figure out what people are working on, and send error-free bills to your customers. That’s why you need to be sure you’ll be immune to the most common problems people experience when buying a timesheet collection automation system.

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Finding Your Way Around E-commerce


Breaking into E-commerce can have you going in circles. This document provides an E-Commerce Roadmap to both prepare you for your trip and keep you from bumping into the bigger obstacles.

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Social Media and Customer Experience Feedback


Twitter, Facebook, LinkedIn, and blogs are just a few Internet services that make up the new growing digital world called social media. Many companies have seen the influence these new sites can have on their organizations for both good and bad. All companies should ask themselves, "How can we tap into the power of this new method of communication to improve our business and the experiences we provide our customers?"

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IBM SPSS-Making the World Smarter with Predictive Analytics


I recently had the opportunity to speak with IBM and take a closer look at the vendor’s SPSS product portfolio, some if its main functions and features, and how it fits within IBM’s overall analytics strategy. Here’s a sneak peek into SPSS and IBM’s analytics strategy. SPSS Part of IBM’s Smarter Planet Initiative In recent years, particularly with the acquisitions of important analytics

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Data Center Projects: Project Management


In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined responsibilities for every manager, tight coordination among suppliers, well-defined procedures for managing change, and consistent terminology. Learn how enforcing these requirements can help your company achieve an efficient process with a predictable outcome.

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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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Considerations for Owning versus Outsourcing Data Center Physical Infrastructure


When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both quantitative and qualitative differences to consider. The 10-year TCO may favor upgrading or building over outsourcing; however, this paper demonstrates that the economics may be overwhelmed by a business’ sensitivity to cash flow, cash crossover point, deployment timeframe, data center life expectancy, regulatory requirements, and other strategic factors. This paper discusses how to assess these key factors to help make a sound decision.

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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 from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys.

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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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Unified Data Management: A Collaboration of Data Disciplines and Business Strategies


In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts.

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