RepairShopr to Hiver
migration service
Trouble-free , no special know how or coding required. A complete RepairShopr to Hiver data migration software.
Trouble-free , no special know how or coding required. A complete RepairShopr to Hiver data migration software.
Scared that you’ll need advanced skills to migrate your customer service data? Worry not as we made sure that our tool simple to use as possible.
Connect the platforms, select records, click ok, and you’re done!
Starting from the ticket requester to every comment author, your entire database will keep their initial data structure untouched.
You don’t have to worry that a part of the records will be lost and service quality will decrease. Everything will arrive how you left it.
Information is key which is why we created a system that will keep your customer records safe and sound.
Neither sophisticated electronic attacks nor physical disasters will touch your data anyhow.
Manage your customer data with our in-app data mapping solution. Choose what goes where, set priorities, and even ditch the stuff you need, all within Migration Wizard.
If you are new to data migrations, don’t worry. Useful and simplified on-screen instructions will help you set up an accurate data import.
You don’t need to worry that you’ll be confused with terms and tech jargon.
Outside of producing great customer service, we always strive to improve our customer service.
As a team, we want you to experience friendly and helpful service, which is why we are continuously putting so much effort to enhance the core experience.
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We’re recognized for best support,
usability, and high ROI
in cloud migration.
Register and go to our migration tool.
Opt and link your RepairShopr support desk with HDM.
Grant the right to access your Hiver account.
Let us know exactly what components of your migration you would like to adjust
We'll research your application and send you with a total price and a scope of tasks.
Migrate all your customer support information in a single push.
We take the safety of your data seriously, so we apply, as well as develop our own, best practices and methods to secure it.
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