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Microsoft CRM 1.2. Microsoft CRM 1.2 was released on December 8, 2003. Microsoft CRM 1.2 was not widely adopted by industry. It was not possible to create custom entities but there was a software development kit (SDK) available using SOAP and XML endpoints to interact with it. Microsoft Dynamics CRM 3.0
Microsoft Dynamics is a line of enterprise resource planning (ERP) and customer relationship management (CRM) software applications. Microsoft Dynamics was previously a separate engineering unit until it got reorganised into the Cloud & Enterprise Group in June 2015.
On-premises software (abbreviated to on-prem, and often misspelled as "on-premise"; see below) [1] is installed and runs on computers on the premises of the person or organization using the software, rather than at a remote facility such as a server farm or cloud. On-premises software is sometimes referred to as "shrinkwrap" software, and off ...
v. t. e. Customer relationship management ( CRM) is a process in which a business or other organization administers its interactions with customers, typically using data analysis to study large amounts of information. [1] CRM systems compile data from a range of different communication channels, including a company's website, telephone (which ...
Microsoft. Microsoft Corporation is an American multinational corporation and technology company headquartered in Redmond, Washington. [2] Microsoft's best-known software products are the Windows line of operating systems, the Microsoft 365 suite of productivity applications, and the Edge web browser.
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Rapid application development was a response to plan-driven waterfall processes, developed in the 1970s and 1980s, such as the Structured Systems Analysis and Design Method (SSADM). One of the problems with these methods is that they were based on a traditional engineering model used to design and build things like bridges and buildings.
SAS (previously "Statistical Analysis System") is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, and predictive analytics. SAS' analytical software is built upon artificial intelligence and utilizes machine learning, deep ...
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