SAP Data migration and management consultant at Syniti
Real User
Nov 29, 2023
Syniti Data Quality's use case is similar to what we do in SAP Information Steward. You can create a data quality report and your business Steward, which is more into cleansing the data. They will get the report about the quality of data and how many errors are in your report, and then you can go to your business Steward and ask them to fix those data errors.
We use it to migrate data to SAP. Both master and transactions data. We validate the data using the rules built in Syniti and then migrate it. We'll validate the data in both the legacy systems. Once the data has been moved, we'll run the rules in Syniti and then take reports on how the data is migrated to SAP. We were using this as the migration tool. The data has been moved now. We'll be using the Syniti tool, and we'll be validating the quality of the data by using rules which were built in. We will be running the rules again as to the source data, and then the data will just be migrated to the target data. And preparing the reports and giving to the users how the data has been migrated. So that's how we've used it.
Syniti Data Quality's use case includes data extraction for a retail company. In my company, I use Syniti Data Quality for doing transformations according to my client's specifications and then to get it ready or to be loaded by data loading constituents.
Data Quality solutions help businesses maintain the accuracy, completeness, and consistency of their data, enhancing decision-making processes and operational efficiency. These solutions are essential for ensuring data integrity across various enterprise systems and applications. Data Quality solutions provide organizations with the tools to cleanse, standardize, and validate data, reducing errors and enhancing reliability. With features like data profiling, these solutions facilitate...
Syniti Data Quality's use case is similar to what we do in SAP Information Steward. You can create a data quality report and your business Steward, which is more into cleansing the data. They will get the report about the quality of data and how many errors are in your report, and then you can go to your business Steward and ask them to fix those data errors.
We use it to migrate data to SAP. Both master and transactions data. We validate the data using the rules built in Syniti and then migrate it. We'll validate the data in both the legacy systems. Once the data has been moved, we'll run the rules in Syniti and then take reports on how the data is migrated to SAP. We were using this as the migration tool. The data has been moved now. We'll be using the Syniti tool, and we'll be validating the quality of the data by using rules which were built in. We will be running the rules again as to the source data, and then the data will just be migrated to the target data. And preparing the reports and giving to the users how the data has been migrated. So that's how we've used it.
Syniti Data Quality's use case includes data extraction for a retail company. In my company, I use Syniti Data Quality for doing transformations according to my client's specifications and then to get it ready or to be loaded by data loading constituents.