SAP Group Reporting Data Collection (GRDC)
Efficient data collection for modern companies Contact usSAP Group Reporting Data Collection: Functions and advantages
Companies working with SAP S/4HANA Finance for Group Reporting are often faced with the challenge of achieving the required data quality and data depth for accurate and audit-proof consolidated financial statements. The Group Reporting Data Collection (GRDC) offers a solution for this: it not only enables data integration between SAP and non-SAP systems, but also supports the entire data collection process.
What is the SAP Group Reporting Data Collection (GRDC)?
SAP Group Reporting Data Collection (GRDC) enables form-based data entry. This means that input masks can be created to enter data yourself. In Group Reporting, access to current information is crucial. The Data Collection also offers a display of real-time data that has already been posted to the database. The forms can be structured with formulas and other display options as required.
Practical example: Types of movement and mirror information
In order for consolidation to be carried out correctly, the data requires a certain level of detail. This requires, for example, a statement of changes in fixed assets with the various transactions. If this information is available in the upstream system, it can be transferred directly to Group Reporting.
However, this data is often missing in non-SAP systems. GRDC enables this information to be enriched manually and uses forms to ensure that the corresponding movements are assigned and mapped correctly.
What can the SAP Group Reporting Data Collection be used for?
GRDC is provided by SAP as a public cloud application to enable efficient and, above all, rapid group consolidation. To this end, companies connect their systems to the software, which acts as an additional data integrator. Data enrichment can be carried out via form-based entries. In this way, users are guided safely through the process without relevant information (such as transaction types) falling by the wayside. Data can thus be recorded faster and largely error-free, which is particularly useful for fast-close processes and tight time frames.




