It is a business strategy based on the customer, in order to maximize profits, rewards, and customer satisfaction. The technologies that support this management purpose include: sales, market, customer service, training and professional development, performance administration, human resource development, and compensation. The technology that supports CRM initiatives must be integrated as part of a general strategy of customer service.
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Data Warehousing

A data warehouse is a collection oriented to an integrated proficiency, not volatile or variable in the process of making decisions of the enterprise or the organization. Mostly it is about the enterprise’s file beyond transactional and operational information stored in a data base in order to benefit an efficient analysis and release of data (especially OLAP). Periodically, information from ERP and other software systems related with the business are imported into the data warehousing for its later transformation.
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Consisting quality of the information
If the intelligence business solutions (BI) are structured to deliver accurate and vital information, they need accurate quality data to use not only an extraction of correct sources, but also the integration to supply a clear image of the business view.
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A vital key to convert intelligence data is the integration of data that the enterprise has. The ETL’s are the processes which consist in all necessary steps to extract data from different locations, regardless of the platform or format, transforming them in high quality business data and charging them into data warehouse. If their quality is questionable, business users and people in charge of making decisions will no be able to trust the outcomes.
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Advanced Analysis
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OLAP (On-Line Analytical Processing)
It is a solution used in the business intelligence field, which objective is to speed up the consulting of a huge data amount. In order to achieve this objective, it uses multidimensional structures or OLAP cubes, which contain summarized information from huge data bases or transactional systems (OLTP). It is used in sale business reports, marketing, direction reports, data mining and similar areas.
- Analitical Models dinamically integrated
- Cross-selling y Up-selling Models
- Segmentation
- One-to-One Marketing
- Reports y Web Analysis