Outcomes
We developed a cloud-native data processing platform enabling restaurant managers with real-time reporting information and decision-making capabilities that led to:
Situation
Due to the batch-oriented nature of the outdated data processing platform:
- It used to take three days for the fast-food restaurant managers to get visibility into the inventory and order stats
- Even if there was a small discrepancy in the data, it was too late for action, resulting in many manual overrides
- Time to market was slow, as any change by a developer had to pass through more than six environments before it reached the live/production environment
- It was difficult to measure the success of experimental beverages and food
Impact
- There were unhappy customers due to delayed data and increased data quality issues when the data was rolled up for monthly, quarterly, and yearly reports
- Revenue started declining for the client, as the customers began looking out for alternative solutions from competitors
Resolution
We proposed and developed a self-scalable, containerized data platform using cloud-native services to accept, process, and push the cleansed data to a reporting repository, with the following outcomes:
- Real-time streaming of the order details from the fast-food restaurants
- One-click deployment to move the code across the environments
- Data models to slice and dice the reports on thin clients