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Data cleansing or data cleaning is the process of identifying and correcting (or removing) corrupt, inaccurate, or irrelevant records from a dataset, table, or database.It involves detecting incomplete, incorrect, or inaccurate parts of the data and then replacing, modifying, or deleting the affected data. [1]
If data sanitization methods are unsuccessful at removing all sensitive information, it poses the risk of leaking this information to attackers. [26] Numerous studies have been conducted to optimize ways of preserving sensitive information. Some data sanitization methods have a high sensitivity to distinct points that have no closeness to data ...
This is a category of articles relating to software which can be freely used, copied, studied, modified, and redistributed by everyone that obtains a copy: "free software" or "open source software". Typically, this means software which is distributed with a free software license , and whose source code is available to anyone who receives a copy ...
CRM systems that track and measure marketing campaigns over multiple networks, tracking customer analysis by customer clicks and sales. Some CRM software is available as a software as a service (SaaS), delivered via the internet and accessed via a web browser instead of being installed on a local computer. Businesses using the software do not ...
System interface. CRM – Implements the use of ERP systems, emphasis is on the back-end. eCRM – Geared more toward front end, which interacts with the back-end through use of ERP systems, data warehouses, and data marts. System overhead (client computers) CRM – The client must download various applications to view the web-enabled applications.
Consumer relationship systems (CRS) are specialized customer relationship management (CRM) software applications that are used to handle a company's dealings with its customers. [1] Current consumer relationship systems integrate the software with telephone and call recording systems as well as with corporate systems for input and reporting ...
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