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Challenges of maintaining Data Quality in CRM Data Integration

The data quality automation is a new technology in Customer Relationship Management (CRM). It is mainly applicable when it comes in the processing of customer data such as name, address, phone number and other information. There are number of challenges faced by an enterprise in maintaining data quality. Some of the challenges are internationalization, skills shortage, interdepartmental resistance, ownership and initial investment and ongoing maintenance. Using CRM systems can help these organizations to maintain data quality.

The organization has to face internationalization when they have to maintain global customer relationship. Here the organization may have to deal with foreign customers and would have to maintain customer information in other languages and other character set. There can also be difference in the format in maintaining data when department varies. As data quality is a new concept in the IT automation, the problem comes when there are very less number of trained and skilled staffs to handle the application system.

The involvement of politics causes interdepartmental resistance; this is applicable when dealing with different CRM departments. In any enterprise stewardship and maintenance ownership is another great challenge as data quality involves multiple customer-facing systems. The higher cost for implementation and in maintaining is also a major challenge faced by most organizations. Finding a good CRM software vendor can be also quite tough.

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