Compensation Forecaster App for Pay Planning with Workday Extend

Client Background

Operating at scale as a retail giant in the U.S., the client oversees a broad and distributed workforce. As compensation planning grew more complex, the organization sought a more data-driven, scalable approach to compensation planning while maintaining accuracy, consistency, and financial discipline.

Business Challenges

The key constraints that the client faced while managing compensation planning at scale are:

• The need for the compensation team to revise pay for large groups of employees efficiently and accurately
• The lack of ability in existing processes to model and forecast the financial impact of compensation changes
• A requirement for leadership to analyze scenarios across multiple dimensions, such as location, region, and store, before approving changes
• Manual analysis and updates that increased the risk of errors and slowed down the overall compensation cycle

The client set out to bring greater clarity and confidence to compensation planning across the organization. Rather than relying on static analysis or manual adjustments, the goal was to introduce a more dynamic way to evaluate pay scenarios, understand cost implications, and support informed decision-making. The organization also aimed to reduce operational friction, improve consistency across regions, and ensure that compensation changes could be executed efficiently within Workday without disrupting existing processes.

The Kastech Solution

Kastech leveraged its extensive domain knowledge and agile delivery approach to deliver the Compensation Forecaster App, a Workday Extend–based solution designed to enable data-driven compensation planning at scale. By combining forecasting, analysis, and execution within Workday, Kastech helped the client drive faster, more accurate, and more controlled compensation decisions across the organization.

• Advanced Modelling Engine:Enabled simulation of pay revisions across employee groups with real-time cost calculations
• Multi-Dimensional Analysis:Allowed compensation teams to slice scenarios by location, region, and store for granular insights
• Forecasting Mechanisms:Incorporated variables such as average daily hours worked to deliver accurate cost projections
• Execution Capability:Allowed approved compensation changes to be applied directly to worker records, ensuring seamless data updates