Overview
In Enterprise Application implementation projects, master data validation, cleansing, partitioning and loading is a time-consuming workflow. Functional Data Analyst (FDA) spends hours to cleanse and validate data received from business ensuring quality of data for loading into an Enterprise Application. The Data Loader automates the data quality validation workflow for enterprise applications. It makes the process faster and accurate, saving significant effort of high value functional consultants in delivery engagements.
Data Loader Skills
Following skills are available for deployment
| Skills | Description |
|---|---|
| Data Loader.SAP.MDM.Customer Master.Data validation and Loading | Automates the workflow to perform the steps followed in data quality checking process and convert data files into SAP Customer Master data load templates. |
The Solution
The Data Loader automates the workflow to perform the tasks in data quality checking process performed by Functional Data Analyst role. This also enables configurations of new validation rules or changing the existing validation rules.
Data Loader Workflow Orchestration Dashboard
Case Study
51k+
User accounts creation /updation Annually
- • Validating-cleansing-partitioning from a range of complex templates to SAP Cloud For Customer system.
- • 3 easy steps for automated master data validation, cleansing, partitioning, and loading in SAP C4C system.
- • Lighting Fast speed to process data in a few minutes.
375 hrs
Projected annual savings for FDA role per project
BP piloted Data Loader to automate the workflow of data quality validation process for Customer Master data of enterprise SAP system.
The workflow automated the following tasks for Functional Data Analyst (FDA) role -
- • Data file preparation,
- • Executing data validation against SAP reference data through a quality check tool,
- • Extracting/communicating data validation report and
- • Generating data load file.
Quick statistics for Data Loader scope in BP : 7 customer detail tables per customer master, 50-100 customer master files loaded per cycle and 5 cycles of customer master data upload per release.
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