Unbiased Knowledge for Better IT Decisions

SCM Software Research and Evaluations
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the best decision for your organization.
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  • Certified RFP templates for SCM  include: Demand Management, Warehouse Management System (WMS), Supplier Relationship Management (SRM), and more...

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To better serve our clients our information is constantly being updated to reflect the latest changes in the enterprise software market.
















Testimonials
"I was just curious to see what your database would recommend in our situation. Turns out...your program recommended the same top two matches, which confirms our choices. Unfortunately, we paid over 20 thousand dollars to XXXXXX to perform basically the same service I just got from you for free. I will highly recommend your services to other fellow members."
Bud Butchko, VP
Nutron

"The content is well organized. It is appropriately structured and focused. Your Knowledge Base is a valuable resource to evaluate software solutions."
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PriceWaterhouseCoopers (PWC)

 

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About Technology Evaluation Centers, Inc. (TEC)
Established in 1993, TEC is the first web-native technology research enterprise. TEC provides decision support solutions that enable stakeholders to objectively identify the software products that best fit their company's unique business and systems requirements, and that contribute most effectively to superior business performance. TEC has a library of knowledge bases, ranging in content from enterprise resource planning (ERP), supply chain management (SCM), customer relationship management (CRM), business intelligence, and outsourcing, to enterprise financial systems, health services, radio frequency identification (RFID), and open source, all with data vetted by analysts.


TEC's solution is driven by its powerful analytic engine. Users deploy this engine to analyze knowledge data at any level of granularity, across any dimension. The analytic engine leverages TEC's quantitative assessment methodology to deliver an appropriate statistical recommendation. TEC's methodology, which is based on regression-correlation and Bayesian pattern matching techniques, compares detailed user requirements and priorities with detailed product capability ratings, and makes appropriate adjustments to account for product capability ratings that exceed or fall short of client requirements.

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