You and your organisation need information about your customers and their behaviour to answer customer questions and respond to customer requests. Information about customers is also used by your organisation to develop its customer service.
Some customer information is collected from your customers. Other customer information is collected through information systems and equipment that make records of service delivery. In either case, you must collect information, retrieve it, and supply it when needed. Good customer information provides a sound basis for all customer service transactions. The quality of the customer information depends heavily on the skills and attention to detail of the person dealing with the information.
2.3.1 Process information according to organisational work policies
The organisation needs information about their customers and their behaviour to answer customer questions and to respond to customer requests. In order to do this we need to process information according to organisational work policies.
Information about customers is also used by the organisation to develop its customer service. Some customer information is collected from customers. Other customer information is collected through information systems and equipment that make records of service delivery. In either case, the business must collect information, retrieve it, and supply it when needed. Good customer information provides a sound basis for all customer service transactions. The quality of the customer information depends heavily on the skills and attention to detail of the person dealing with the information.
Customer Information Management ensures the delivery of a consistent, accurate, and complete customer view to operational and analytical touch-points across the service provider enterprise, thus enabling the optimisation of key business processes and the leverage of new revenue opportunities. Customer information is typically scattered across mixed environments with fragmented, isolated customer data which needs to be consolidated, directly or using data federation. A Customer Information Management application, using context-sensitive business logic, synchronises customer information across all service provider systems and reconciles customer data inconsistencies.
Computer data processing is any process that uses a computer program to enter data and summarise, analyse, or otherwise convert data into usable information. It involves recording, analysing, sorting, summarising, calculating, disseminating, and storing data. Because data are most useful when well-presented and actually informative, data-processing systems are often referred to as information systems. Nevertheless, the terms are roughly synonymous, performing similar conversions; data-processing systems typically manipulate raw data into information, and likewise, information systems typically take raw data as input to produce information as output.
Because data are most useful when well-presented and actually informative, data-processing systems are often referred to as information systems. Nevertheless, the terms are roughly synonymous, performing similar conversions; data-processing systems typically manipulate raw data into information, and likewise, information systems typically take raw data as input to produce information as output.
Basically, data are nothing but facts (organised or unorganised) which can be converted into other forms to make them useful, clear, and practically used. This process of converting facts to information is Processing. Practically all naturally occurring processes can be viewed as examples of data processing systems where “observable” information in the form of pressure, light, etc. are converted by human observers into electrical signals in the nervous system as the senses we recognise as touch, sound, and vision. Even the interaction of non-living systems may be viewed in this way as rudimentary information processing systems. Conventional usage of the terms data processing and information systems restricts their use to refer to the algorithmic derivations, logical deductions, and statistical calculations that recur perennially in general business environments, rather than in the more expansive sense of all conversions of real-world measurements into real-world information in, say, an organic biological system or even a scientific or engineering system. Elements of data processing
In order to be processed by a computer, data needs first to be converted into a machine-readable format. Once data are in digital format, various procedures can be applied to the data to get useful information.
Data processing may involve various processes, including:
- Data summarisation
- Data aggregation
- Data validation
- Data tabulation
- Statistical analysis