Successful from system A to B
DataRocket moves and cleans up data
In today’s business world, IT modernization projects, also known as M&A projects, are part of everyday business. This usually results in the challenge of bringing data from different sources, for example, ERP systems, Excel spreadsheets or CRM systems, into a new target system. This process is called data migration.
Data migrations are one of the most common causes for poor data quality. Poor data quality can delay migration projects as well as exceed your budget.
With DataRocket, data quality can increase even while migrating data from one source system to the next.
DATA MIGRATION WITH DATAROCKET
HIGH DATA QUALITY IN THREE STEPS
1. Source data analysis
To achieve high data quality, we first examine your source data. Based on the target data structure, we define quality criteria that the sets of data should meet. Additionally, duplicates are identified. After this cleanup, you get flawless data quality for the migration into the planned target system.
2. Mapping target data structure
Individual rules are used to adapt the data from the source system to the structure of the target system. This transformation of data is called mapping. After successful implementation of the transformation rules, the source data is sent to the target system.
3. Consistency check
DataRocket takes the consistency check after mapping a step further than similar systems, ensuring a sustainable increase in data quality. DataRocket continuously checks the records of both systems for consistency and cleans up inconsistent data.
This process guarantees high data quality in your target system!