Client
A company’s head office seeking to improve their capability to evaluate and respond to hiring requests throughout the company with a data-driven workforce forecasting approach.
Industry
Retail
Service
Tech
Challenge
The client wished to grant or deny the application of additional department resources based on a data-driven approach, where previously granting or denying was done on gut feeling. The result must be able to forecast on an FTE basis per job group for all departments in the head office.
We took on the
following challenges:
- Obtain, analyze and process different historical data to develop a usable dataset
- Analyze the impact of different project variables to define drivers that affect necessary workforce
- Develop mathematical models containing precise forecasting equations that quantify necessary FTE for a job group
- Develop an easy to use tool to be used by the client
- Create an easy to read overview with the results
Solution
Data-Driven Forecasting
Implemented mathematical models based on historical data to generate accurate workforce predictions.
Custom Analytics per Department
Developed specialized calculation frameworks to skill-specific forecasting, based on latest and most effective mathematical methods.
Interactive Planning Tool
Created an Excel-based forecasting tool that integrates seamlessly with existing processes, while providing intuitive user interface.
Impact
Insight into process success
Creation of the ability to grant or deny applications based on data.
Strategic Planning
Enhancing long-term workforce planning capabilities, enabling strategic decision-making.
Planning efficiency
Reducing planning time while significantly improving the quality and reliability of resource forecasts.