There is a lot to think about when setting up a Service Management system and it does not stop when it is up and running. Even if you have used the latest data migration automation solution to make sure you have all your valuable data on your new system in exactly the right formats and exactly the right locations with all the references and links working, you still have ongoing data management activities to consider.
One area is data replication. Backup is one of the most prevalent use cases for data replication. Another common use case for data replication is reporting and analytics. This is often required where there is limited flexibility or access provided or data needs to be stored in a centralized location such as a data warehouse or data lake so that reporting across multiple applications can be done from one place. Many systems charge per user and there can be situations where data can be replicated to other systems for access for a subset of users reducing the licensing requirement and costs.
Another is data synchronization. Wherever there is a need to share information that will be stored in different places there is a use case for data synchronization. There can be a number of reasons that data is being stored in multiple places including different platforms being used by different teams, mobile versions of software holding local versions of data or multiple systems being used for performance or resilience.
Finally, there is archiving. There is no doubt that in a modern Service Management system you want to keep as much data live as possible. This is to support both customer experience in terms of knowing your customers and also to leverage AI. However, there are times when it is necessary to archive data due to performance, storage limits and or the costs of storage.
Traditional Approaches
The challenge to traditional approaches to replication, synchronization and archiving is that they do not incorporate intelligence on the specific Service Management platform. This means that there can be a very manual and labour-intensive set up for these systems which also means more support especially if changes are needed in the future. A time-consuming mapping exercise must be planned, executed, checked, and tested (and re-tested, and re-re-tested…!) until you have a level of confidence that it’s correct. (Spoiler alert: There can be surprises that show up only after go-live.)
As a result, a task that can at first seem simple and quick can be much more complex, take much longer and still can cause problems when it goes live.
So what is the alternative?
Intelligent Automation with Precision Bridge
Precision Bridge has been built with the specific Service Management platforms it supports in mind. This means it incorporates intelligence about the platforms making both the set up and support of replication, synchronization and archiving much easier, simpler and quicker.
Functionality such as auto form and field mapping, templates and validation make Precision Bridge a cut above the rest in terms of speed of deployment.
By leveraging this intelligence you can spend more time maximizing the value of your Service Management system rather on Data Management activities.
Want to learn more? Contact Precision Bridge at info@precisionbridge.net or find out more at www.precisionbridge.net