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Improving Exchange Migrations with Data Consistency Scoring

How Cloud Architect Can Help Improve Data Consistency During Exchange Migrations
Migrating to Exchange Online: What Cloud Architect Need to Know
Migrating to Exchange Online can be a complex undertaking, especially for organizations with large mailboxes. The process requires planning, preparation, and execution to be successful. But even the most well-executed migration can still result in data inconsistency.

The Exchange team recently released a blog post detailing a new data consistency scoring feature in Exchange Online that can help reduce the impact of data inconsistency during migrations. In this blog post, we’ll take a closer look at how cloud architect can use this feature to improve the accuracy and reliability of Exchange Online migrations.

What Is Data Consistency Scoring?
Data consistency scoring is a feature in Exchange Online that helps ensure data accuracy during migrations. It provides a numerical score for each mailbox migration, based on the percentage of data that is successfully migrated. The higher the score, the more reliable the data is.

Data consistency scoring is based on the following criteria:

* Number of mailboxes migrated
* Number of items migrated successfully
* Number of items that failed to migrate
* Number of items that were skipped due to errors
* Number of items that were skipped due to conflicts

The data consistency scoring feature is included in the latest version of Exchange Online and can be enabled via the Exchange Online PowerShell module.

How Can Cloud Architect Use Data Consistency Scoring?
Cloud architect can use data consistency scoring in a variety of ways to improve the accuracy of Exchange Online migrations. Here are some of the ways cloud architect can use this feature to improve migrations:

Monitoring Migration Progress
Data consistency scoring can be used to monitor the progress of an Exchange Online migration. The score can be used to identify potential issues and take corrective action. For example, if the score decreases during the migration, cloud architect can investigate the cause and take corrective action to ensure the migration is successful.

Tracking Migration Quality
Data consistency scoring can also be used to track the quality of an Exchange Online migration. A higher score indicates that the migration is successful and that the data is accurate. Cloud architect can use this information to ensure the data is reliable and to identify any issues that need to be addressed.

Identifying Data Issues
Data consistency scoring can also be used to identify any data issues that may have occurred during the migration. For example, if the score decreases, cloud architect can investigate the cause and take corrective action to ensure the data is accurate.

Conclusion
Data consistency scoring is an important feature in Exchange Online that can help cloud architect improve the accuracy and reliability of Exchange Online migrations. By monitoring the migration progress, tracking the quality of the migration, and identifying any data issues, cloud architect can ensure the data is accurate and reliable.
References:
Improving Migrations Using Data Consistency Scoring

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