Starbucks Corporation

The Canadian Revenue Agency required Starbucks to report payroll data, including withheld taxes, for all their employees on a daily basis.

Background

Starbucks has a workforce of over 25,000 employees in Canada. The Federal Tax Jurisdiction in Canada mandates that large-scale employers transmit payroll data and deposit all withheld taxes daily to remain in compliance. ADP provides a service to keep its clients compliant with the Canada Federal Tax Jurisdiction of the Canada Revenue Agency. Starbucks needed to integrate its payroll data with ADP’s service.

Challenges

The primary challenge was to develop an efficient and reliable system that could handle the daily reporting of payroll data, including withheld taxes, to the Canadian Revenue Agency. The solution needed to be robust enough to manage the large volume of data generated by Starbucks' extensive workforce and ensure compliance with federal regulations.

Solution

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


01
Kanban agile methodology

Kanban agile methodology

Implementing the solution in the Starbucks Payroll System using Kanban agile methodology: This approach ensured iterative development and continuous improvement throughout the project.

02
SAP ECC 5.0

SAP ECC 5.0

Using SAP ECC 5.0 Payroll Driver: Starbucks’ existing payroll system was leveraged to run their payroll, with enhancements to meet the new requirements.

03
Data Integration Driver

data integration driver

Developing a configurable/dynamic rule-based data integration driver: This driver was designed to extract, transform, and create a history record to handle retroactive accounting delta.

04
Multithreading Framework

multithreading framework

Creating a custom multithreading framework: This framework enabled parallel processing of data, significantly reducing processing time.

Outcome

The implementation of this solution drastically improved the efficiency and reliability of Starbucks' payroll data reporting process. By automating many of the previously manual tasks and leveraging parallel processing, we were able to reduce errors and ensure that payroll data was reported accurately and timely. The use of a configurable data integration driver allowed for flexibility in handling various payroll scenarios, further enhancing the overall performance of the system. Footnote: Over 1 million lines of code were written for this solution, and it took 3 years to complete this project.

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