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Managing Customer Relations

Posted by Sylia on

This not only results in returned mail that there are fewer and more accurate deliveries, but also improves the description and analysis of customers, which translates into faster service and professional. There are many examples of applications based on customer information that need their data, and especially their addresses have integrity, some of them are: Systems CRM (Customer Relationship Management, Managing Customer Relations) E-Business (Electronic Business ) Call Centers (or company central office that answers customer phone calls or make calls to customers (telemarketing)) Systems Marketing Similarly, we can mention some of the organizations that are mostly benefiting from the cleaning of customer data . Banking and Finance Government Health Telecommunications CONCLUSIONE S Data warehouses are the focus of today’s large companies, because they are a collection of data where information is integrated these, providing a tool that can make better use of information and to support the process of making management decisions. There are numerous causes of dirt in the records of operational systems, as which results in that there is great amount of data stored in companies that lack the appropriate quality to be used reliably. The problem of data cleansing is one of three fundamental problems of the DW.

However, it is not treated or prevented by many organizations as they do not adequately consider the negative impact that may result to the business having insufficient information stored. In some cases it is possible to create cleaning programs customized for the company in question, but for databases with large numbers of records may be almost obligatory to use existing commercial tools. For today’s organizations, the standardization of addresses from their lists of customers is a key point to consider, as a DW addresses that do not have this feature can cause loss of credibility of the organizations, which in turn leads to the loss of customers due to an inefficient service.

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Unifying Data

Posted by Sylia on

Therefore, I thought it would be ideal to unify the different sources of information available which, in one place, to which only relevant information is incorporated on the basis of an organized structure integrated logic, dynamic and easy operation. The answer to this was the Data Warehouse or Data Warehouse (DW). However, to make efficient use of historical information stored in a DW to aid decision making was vital to ensure that these data are readily available, standardized and reliable. Still, the problem of data cleansing is little treated or prevented by many companies, not adequately consider the business impact of having insufficient information stored. DATA WAREHOUSE. BASIC CONCEPTS A Data Warehouse or Data Warehouse (DW) is a topic-oriented information store to meet the needs of applications of Decision Support Systems (DSS) and Executive Information (EIS), which provides access to corporate information management, control and support for decision making. 4 This information is built from databases that record the business transactions of organizations (operational database) and its importance lies in elements like the following: Contributes to making tactical and strategic decisions by providing an automated way to identify key information from volumes of data generated by traditional processes or pieces of software. It enables to measure the actions and results in a better way.

Business processes can be optimized. The time spent waiting for information that ultimately is incorrect or missing, is eliminated. It allows users to prioritize decisions and actions, for example, what customer segments should be sent the following marketing efforts. . Art Gallery is often quoted as being for or against this.