Clean Up Your Microsoft Dynamics CRM Data with Duplicate Detection

In setting up a Microsoft Dynamics CRM project, data quality can take a backseat to other business concerns. That is pretty understandable in most get-it-done-yesterday sales environments. But Microsoft CRM makes one data quality issue, data duplication, so easy to implement you’ll probably want to do this sooner rather than later.

Duplicate account, prospect or other contact-related records are an annoyance at best. It quickly leads to wasted emails, phone calls, and more recently tweets to the same person. And ultimately a sales and marketing staff bumping into each other as they unknowingly chase identical deals.

Duplicate Detections the name, phone number, or email fields in the specific entity to be monitored.

To handle mistyped information by your staff, the Duplicate Detection Rules wizard can also check for inexact matches on the first few characters of the contact information. In any case, once the rule is set up and published, Microsoft Dynamics CRM will provide a warning when a duplicate entry is detected.

Sales support staff entering, say, an identical prospect or lead will see a pop-up indicating that the record has been duplicated. They are then given the option of correcting the name, address, and other contact key information or instead using the existing record.

Is there a way to carry out duplicate detection check retroactively on an existing Dynamics CRM database? No problem!

Admins can set up the rules they need, as before, and then run the Duplicate Detection Job wizard–also found under Data Management–to scan through the current records.

Microsoft Dynamics CRM will report back with a list of duplicates. Admins can then clean the records or just delete them as unnecessary data.

About MIG & Co.

MIG & Co. specializes in implementing and supporting industry leading financial and business software that offer the lowest total cost of ownership. Since 1998, our company’s passion is to empower organizations to automate business processes and maximize productivity.

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