Project Timeline and Budget
appMIGRATE performs data profiling on the source data to reduce the data volume and explore data quality issues. Data profiling is done with the extracted data against the target applications Reference data and Setup data dependencies with predefined rules. Business process verification is another highlight. Data profiling engine is also used for on-going ERP wellness activities
Profiling source data improves data quality and reduces data quantity. Profiling the extracted data against the target reference data and business logic is built inside the appMIGRATE tool. Each Template comes packed with hundreds of pre-validations.
appMIGRATE helps investigate if existing data can be used for other purposes.
Improves the ability to search the data by tagging it with keywords, descriptions or assigning categories.
Allows assessment of risk involved in integrating data for new applications, including the challenges of joins.
Helps understanding data challenges early in any data intensive project, so that late project surprises are avoided. Finding data problems late in the project can lead to delays and cost overruns.
Provides enterprise view of all data, for uses such as Master Data Management where key data is needed, or Data Governance for improving data quality.
“For a large document management company we reduced Item Master data size to about 5% of the original size.”