Deloitte US Talent Studio

Deloitte needed to develop a custom scalable data transformation tool to convert finance and HR data from external systems to their centralized ERP for mergers and acquisitions.

Background

Deloitte US Talent Studio required a multifaceted tool to automate external data transformation and integration with their centralized ERP to manage talent for their consulting services. Previously, they managed these data transformations manually, which was both expensive and resource-intensive due to the need for expert-level human resources.

Challenges

The primary challenge was to develop a scalable and flexible data transformation tool that could automate the conversion of finance and HR data from various external systems into Deloitte's centralized ERP. The solution needed to support the dynamic requirements of mergers and acquisitions, ensuring seamless integration of disparate data sources.

Solution

As a Senior Consultant, we played a pivotal role in directing the development and implementation of the data transformation tool, which included


01
SAP ABAP AS

SAP ABAP AS

Implementing the solution using SAP ABAP AS: This ensured robust and reliable performance for the data transformation processes.

02
Cluster/Buffer Framework

Cluster/Buffer Framework

Developing a custom data cluster/buffer framework: This framework provided the flexibility and scalability required to meet diverse business requirements.

03
centralized ERP

centralized ERP

Enabling user-defined external data models and mapping rules: The framework allowed users to define the external data model and specify mapping rules for transformation and integration with the centralized ERP data model.

04
Improved Performance

Improved Performance

These features ensured that the data transformation tool could handle complex and varied data integration tasks efficiently and accurately.

Outcome

The implementation of this solution drastically improved the efficiency and accuracy of Deloitte's data transformation processes for mergers and acquisitions. By automating the transformation and integration of external data, we significantly reduced the need for manual intervention and expert-level resources, thereby cutting costs and enhancing operational efficiency. The custom data cluster/buffer framework allowed for flexible and scalable data management, supporting Deloitte's dynamic business needs.

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