Problem Statement:
S/4 HANA implementations commonly encounter multi-fold data quality challenges such as Unstructured & Inconsistent master data(nomenclature, formats, duplicates). High risk of data corruption/loss during data migration. Integrity of data is a challenge, leading to errors, poor reporting & cost overruns. Downtime and business disruption during transition. Post migration system performance degradation.Mitigating common data quality anomalies not only require enormous resources & effort, but require meticulous data mapping and transformation, ensuring integrity of millions of rows of data is complex.
Problem Statement: S/4 HANA implementations commonly encounter multi-fold data quality challenges such as Unstructured & Inconsistent master data(nomenclature, formats, duplicates). High risk of data corruption/loss during data migration. Integrity of data is a challenge, leading to errors, poor reporting & cost overruns. Downtime and business disruption during transition. Post migration system performance degradation.Mitigating common data quality anomalies not only require enormous resources & effort, but require meticulous data mapping and transformation, ensuring integrity of millions of rows of data is complex. Read More Technology Blog Posts by SAP articles
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