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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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 break even analysis template graph


Oracle E-Business Suite (12.1) for ERP for Non-manufacturing Services Certification Report
Oracle E-Business Suite (12.1) is now TEC Certified for online comparison of enterprise resource planning (ERP) for services solutions in TEC's Evaluation

break even analysis template graph  two submodules here that break down this functional area—Time Management and Expense Management, and Oracle E-Business Suite wins in both of them showing fairly strong results—97.88 and 95.48 percent accordingly. The differences per submodules are 13.65 for Time Management functionality and 20.99 percent for Expense Management. Analyst Summary Oracle's E-Business Suite application demonstrates a lead role in all functional areas reviewed. Analysis of the graphs and software ratings clearly shows that

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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

Quote-to-Order RFI/RFP Template

Online Catalog, PIM Capabilities, Q2O/CPQ Workflow Management, Personalization and Localization, Rule Engines and Knowledge Base (Repository),Document Management (for Proposals and Contracts), Pricing, Customer Information, Reporting and Analysis, Integration and Interfacing Requirements, Engineering Capabilities, Channel Support and PRM, Aftermarket Services, and more. 

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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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Small Business Software (SBS) RFI/RFP Template


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Effective Inventory Analysis: the 5 Key Measurements


The white paper effective inventory analysis isolates and walks you through five simple measurements that will help you ensure you are maximizing t...

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Bridging the CRM Analysis Gap


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The Competitive Advantage of Business Intelligence Forecasting and Predictive Analysis


Technology and new business intelligence solutions have made it possible for the average enterprise to leverage complex predictive analysis using simple, intuitive tools. Predictive analysis is key to the competitive success of an organization, and the enterprise that is privy to clear and concise product, customer, sales, and market predictions will always have the competitive advantage in its market of choice. Find out how.

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The eG Approach to Root-cause Analysis


Effective correlation and accurate root-cause diagnosis have been key challenges for network and systems management solutions for many years. Indeed, these challenges have increased with the growing complexity of the software applications and services operating on top of the Internet and intranets. But at the same time, customer expectations of service quality and guaranteed performance remain as stringent as ever.

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Actionable Spend Analysis: From Data to Savings


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