Problem Statement
The client, a company in the USA, faced inefficiencies in handling payroll processes, calculating sales-based bonuses, and comparing sales performance across multiple stores. The manual nature of these processes led to errors and delays, affecting decision-making and employee satisfaction.
Approach & Solution
DataRopes.ai implemented an automated system that streamlined payroll processing, bonus calculations, and sales performance analysis, using a combination of Google Cloud Platform (GCP) and AWS services.
- We automated payroll for over 2,000 employees, eliminating manual timecard data entry and enabling accurate wage calculations via Google Cloud Storage (GCS).
- A real-time bonus calculation model was built using BigQuery, processing 100,000+ sales transactions monthly to provide accurate performance-based payouts.
- Sales data from 10 stores was consolidated into BigQuery, allowing real-time comparisons of sales performance and key metrics using Power BI dashboards.
- Automated data pipelines were established using Cloud Scheduler, running daily updates to ensure payroll, sales, and bonus data was always current and accurate.
Results & Outcomes
By automating payroll, the client saved 500 hours of manual labor per month, while accurate bonus payouts improved employee motivation and retention. The centralized sales data provided timely insights for optimizing staffing and inventory decisions, contributing to improved operational efficiency and overall business performance.
Tools & Technologies used
- Google Cloud Platform (GCP)
- BigQuery
- Cloud Functions
- Cloud Scheduler
- GCS (Google Cloud Storage)
- Pub/Sub
- AWS Lambda
- Power BI
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