Wednesday, August 15, 2012

Management of the data stream


Managing the flow of data in business is a process of combining data from several channels of data, improve the quality of data and provide accessibility to the data. Contact center and call center to understand higher among firms where a large influx of data that requires rationalization and organization. In any business environment, customers, products and other information that they include important information that decide the future of business. Organization and management of this data flow is very significant.

The data flow management involves a series of steps. The first several data regarding customers, products, etc., are collected and converted into a format understood by the target applications. Management software of the data stream can be used to identify patterns of data and re-arrange them in a logical order. The next step is the integration of data that is to integrate and incorporate business rules and their application across different data sources.

The following are the control processes of integrated data and replacing the incorrect data with correct data. The software can recode misspellings, identify? Throw it away? phrases, handle special characters and match the customer and product data phonetically. In a contact center environment, data is distributed to contact center agents after 3 stages. Effective distribution of information helps agents to complete customer data, enabling them to achieve? The right information at the right time? to satisfy the customer. This is true in any business environment where management of data flow is essential to manage the activities in a systematic way.

Efficient flow of data management involves a series of technical processes, and selecting appropriate software and hardware tools to perform these operations is an important feature of the management of data flows. Other requirements for managing the flow of data is a well-trained staff and the executive team who recognize the importance of quality and integrity of data .......

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