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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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 estimation data quality


Paradoxes of Software Estimation
Software development has spawned an independent industry in its own right. But the processes of asking for service, offering service, and pricing are all

estimation data quality  of Actual versus Estimated Estimation data in other areas comes not from the people who do the job, but from work-study engineers (industrial engineers) who specialize in work measurement. In the software industry, estimation data comes from programmers or project managers—and it is derived from actual historical data. Why don't the other industries use historical data for arriving at estimation data? Because the actual amount of time taken for a piece of work varies and depends on multiple factors:

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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

Product Lifecycle Management (PLM) Comprehensive RFI/RFP Template

ore PLM for both discrete and process industries (Engineering Change Management, Data Vaulting, BOM Management, Recipe Management, Product Cost Estimation, etc.), Product Development and Portfolio Management, Manufacturing Process Management (MPM), Ideation & Requirements Management, Service Data Management, Regulatory and Compliance, and Application Technology 

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PTC's PLM Portfolio Gets More Comprehensive: Day 1 Overall Impression at PTC/USER World Conference 2010


Last year, after the TEC certification process for PTC Windchill 9.0 (download the certification report), I was convinced that this solution is quite functionally comprehensive. In the meantime, I also outlined some weak spots of Windchill. For example, the solution's capabilities on product cost estimation and product service data management are relatively limited. After the first day at PTC

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8 Strategies to Improve Your Project Plan


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Developing a Universal Approach to Cleansing Customer and Product Data


Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

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How to Evaluate Web-based BI Solutions


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Data Management Wish List: IT Is Open to Big Changes


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Data Migration Best Practices


Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce the risks and costs associated with these projects. This paper offers a handy checklist of issues to consider before, during, and after migration.

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Big Data: Operationalizing the Buzz


Integrating big data initiatives into the fabric of everyday business operations is growing in importance. The types of projects being implemented overwhelmingly favor operational analytics. Operational analytics workloads are the integration of advanced analytics such as customer segmentation, predictive analytics, and graph analysis into operational workflows to provide real-time enhancements to business processes. Read this report to learn more.

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Containerized Power and Cooling Modules for Data Centers


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Benchmarking Your Quality Maturity: Turning a Cost Center into a Profit Center


To help organizations understand their current state and plan for managing quality, LNS Research covers a quality management research study of more than 1,000 manufacturing organizations to identify best practices in organizational change, business process redesign, and technology evaluation.

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Big Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone


Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end. Fortunately, IBM SPSS solutions provide just such an ecosystem that can make different kinds of data stores—from Hadoop to those proverbial spreadsheets—useful sources of business insight and decision support.

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