|
More
Software
Research Library
|
|
Vector Networks
|
For many organizations, efforts to improve software management start with an audit which is driven by a concern to ensure license compliance and safety from prosecution. However, this is a largely negative reason for investing time and money into an audit.
In contrast, a balanced program of pro-active software asset management procedures can provide most organizations with financial savings ...
|
|
|
Portrait Software
|
Marketers recognize that Customer Intelligence is rapidly becoming a mission-critical discipline. This should come as no surprise — valuing, targeting, and retaining the best customers are skills in high demand. But few marketing organizations can muster the budgets, technology capabilities, or analytical chops to succeed. The crowded vendor community does little to simplify matters.
To help ...
|
|
|
Platform Computing Corporation
|
Simulation lifecycle management (SLM) is best defined as the capture and management of engineering knowledge acquired from computer-aided-engineering or simulation tools performing product design validations. SLM addresses the need for data management, authentication, historical reference, process automation, collaboration, and IP protection – this is similar to the advantages product lifecycle ...
|
|
|
Original Software
|
The definition of agile testing can be described as follows: “Testing practice for projects using agile technologies, treating development as the customer of testing and emphasising a test-first design philosophy. In agile development, testing is integrated throughout the lifecycle, testing the software throughout its development.”*
Agile is a methodology that is seeing increasingly widespread ...
|
|
|
Angoss Software Corporation
|
Grow Revenues and Reduce Risk with Powerful Analytics Software
Gaining knowledge through data selection, data exploration, model creation and predictive action is the key to increasing revenues, reducing costs and minimizing risk. Today’s organizations and analysts require a suite of data mining and predictive analytics tools that are robust in functionality, easy-to- use and implement, ...
|
|
|
|