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If application performance management isn't at the top of your businesses to-do list, it should be. No matter how well-designed your app is, if performance is sluggish end-users won't use it. Read on to learn about a performance management strategy top companies are leveraging, its business value, and more.
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This white paper shows how qualified service providers can add value to RFID projects, highlights some of the planning issues and considerations that call for experienced advice, and provides guidance to the types of services available and how to differentiate service providers.
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This paper looks at quality strategies which deliver a positive operational return on investment, improving quality whilst reducing cost and risk. Read on to learn more.
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View this resource to learn more about how you can deliver quality management and testing services to eliminate waste in the systems engineering process and reduce the risk of system outages from software failures.
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In their latest book, Thomas Davenport, Jeanne Harris and Robert Morison show how companies apply analytics in their daily operations. We see examples of analytics at work within core processes in a variety of business areas. Read this white paper to learn how embedding analytics into your organization's processes can help you.
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This paper discusses how Trillium Software extends that principle to ensure services are driven by data governance defining the criticality and use for the data, and establishing roles and responsibilities within the business and IT to achieve business goals and objectives.
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This paper introduces coverage analysis as an important direction in the management of software testing. Specifically, this paper covers test assessment and improvement using McCabe IQ coverage analysis in the areas of functional testing, incremental testing, and unit level testing.
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Organizations face different challenges at different levels of testing maturity. Testing Maturity Model (TMM) and Test Process Improvement (TPI) are two of the contemporary testing maturity models discussed in this paper.
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No matter the size of your business, data quality is an absolute requirement for success. Learn the seven steps you need to develop a plan for data quality - one that scales to your growing business needs.