Johnson & Johnson – J&J

J&J required the reengineering of their General Ledger Reconciliation process to achieve full automation and ensure timely completion.

Background

The General Ledger Reconciliation process at J&J had been inefficient, slow, and required excessive manual interventions. As the company had been experiencing exponential growth over the last decade, the existing process became inadequate and needed to be overhauled to meet the new demands. One significant challenge was the necessity to complete the reconciliation and audit on a daily basis.

Challenges

The primary challenge was to automate the General Ledger Reconciliation process to improve efficiency and accuracy. J&J needed a solution that could handle large volumes of data daily, minimize manual interventions, and ensure timely completion of reconciliations and audits.

Solution

As a Senior Consultant, we played a pivotal role in directing the development and implementation of key enhancements to the General Ledger Reconciliation process, which included:


01
Data Extractors

data extractors

Developing multiple data extractors: Using a custom multithreading framework for parallel processing, we maximized the use of available computing and memory resources.

02
SAP ABAP Stack and JAVA Stack

SAP ABAP Stack and JAVA Stack

Implementing the solution with SAP ABAP Stack and JAVA Stack: These technologies were utilized to develop the solution, following the Rapid Prototyping development methodology to ensure quick and efficient deployment.

03
Automating tasks

Automating tasks

Automating manual tasks: The process was overhauled to reduce the need for manual interventions, thereby decreasing the potential for human error.

04
Enhancing capabilities

Enhancing capabilities

Enhancing daily reconciliation and audit capabilities: The new system enabled J&J to complete their reconciliations and audits on a daily basis, meeting the company’s operational requirements.

Outcome

The implementation of this solution drastically improved the efficiency and speed of the General Ledger Reconciliation process. By automating many of the previously manual tasks, we were able to reduce errors and ensure the reconciliation and audit could be completed daily, meeting the growing demands of the company. The use of parallel processing allowed for the handling of large volumes of data quickly and accurately, further enhancing the overall performance of the system.

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