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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 ...
Service assurance is model that is centered on the concept of maximizing customer satisfaction. The belief is that such practices inevitably maximize the long-term profitability of an organization or enterprise. Numerous quality-regulating methods are often interwoven with CSA services. Under the CSA umbrella, it is typical to also find Quality ...
Customer analytics. Customer analytics is a process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. Marketing provides services to satisfy customers.
Data Distribution Service. The Data Distribution Service (DDS) for real-time systems is an Object Management Group (OMG) machine-to-machine (sometimes called middleware or connectivity framework) standard that aims to enable dependable, high-performance, interoperable, real-time, scalable data exchanges using a publish–subscribe pattern.
Customer data management. Customer data management (CDM) is the ways in which businesses keep track of their customer information and survey their customer base in order to obtain feedback. CDM includes a range of software or cloud computing applications designed to give large organizations rapid and efficient access to customer data.
Survey data collection. With the application of probability sampling in the 1930s, surveys became a standard tool for empirical research in social sciences, marketing, and official statistics. [ 1] The methods involved in survey data collection are any of a number of ways in which data can be collected for a statistical survey.
The concept of data management arose in the 1980s as technology moved from sequential processing [2] (first punched cards, then magnetic tape) to random access storage. Since it was now possible to store a discrete fact and quickly access it using random access disk technology, those suggesting that data management was more important than ...
In requirements engineering, requirements elicitation is the practice of researching and discovering the requirements of a system from users, customers, and other stakeholders. [1] The practice is also sometimes referred to as " requirement gathering ". The term elicitation is used in books and research to raise the fact that good requirements ...