Data Migration

Migrate your data to a new application

It takes a lot of effort to migrate data from an old application to a new enterprise application. Unfortunately if data isn’t migrated in the right order, the new enterprise application doesn’t perform as wanted. Succesfully migrating the data will significantly improve the success of a project.

Data migration should be essential in succesfully implementing and adapting the new enterpise application. Unfortunatly in many cases these projects exceed budget and time because of the complexity. This complexity exsits because data is stored in different order in applications, and the right documentation isn’t available.

More than 80% of the projects exceed projectbudget

Important questions that rise instantly are:

  • what kind of data is needed for the new enterprise application?
  • what is the current quality of our data?
  • how should we deliver the data to the new system?
  • how are we certain that we don’t lose any data?

This proces is critical for the success and adoption of your new application.

DATPROF simplified migration process with the help of a userfriendly interface. Drag and drop states on tables, column or make your own processes; it is easy done.  With DATPROF Integrate you are able:

  • improve data quality
  • analyse data
  • collect meta data
  • transform the data

Related solutions

What is test data?

What is test data?Healthcare organizations, insurance companies, financial institutions and government institutions, corporate organizations; they all need test data to develop and test the quality of software. Many organizations use a copy of their production data...

The test data bottleneck

The test data bottleneck Flexible and fast software development is a competitive advantage. If your organization or the organization your work for is able to release software faster than another organization in the same market you’re king! Right? All these efforts in...

Data subsetting

Data subsetting All you need to know about data extraction and test data preperationWe all strive to shorten the time-to-market of our software. With this goal in mind we start to automate tests, develop in agile and/or scrum teams, start with Continuous Delivery and...

Data Masking


Data Subsetting


Data Provisioning


Data Discovery