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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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 crm linux web


Maximizer CRM Version 11 Highlights
Maximizer probably needs no introduction, but I will do it anyway for people who are not very familiar with the customer relationship management (CRM) space. It

crm linux web  CRM Version 11 Highlights Maximizer probably needs no introduction, but I will do it anyway for people who are not very familiar with the customer relationship management (CRM) space. It was founded in 1987 and is one of the CRM pioneers that created personal information management systems (PIM) and opportunity management systems. The first version of the product ( 3.0 , launched in 1996, one year after the acquisition of the Maximizer product line from Modatech Systems) was promoted as “ a full

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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

Customer Relationship Management (CRM)

Customer relationship management (CRM) focuses on the retention of customers by collecting all data from every interaction, every customer makes with a company from all access points whether they are phone, mail, Web, or field. The company can then use this data for specific business purposes, marketing, service, support or sales while concentrating on a customer centric approach rather than a product centric. Customer relationship management defines methodologies, strategies, software, and other web-based capabilities that help an enterprise organize and manage customer relationships. Customer relationship management applications are front-end tools designed to facilitate the capture, consolidation, analysis, and enterprise-wide dissemination of data from existing and potential customers. This process occurs throughout the marketing, sales, and service stages, with the objective of better understanding one’s customers and anticipating their interest in an enterprise’s products or services. 

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