Cloud Data Warehousing in AWS for a Leading Coffee & Food Chain Company
About Client
A global coffee and food chain has its operations worldwide. It offers various snacks and beverages in thousands of stores globally. The company gathers extensive data from a range of platforms and revenue streams. However, as the company expanded globally, its existing infrastructure struggled to keep up with the increasing volume of data, affecting scalability and performance.
Problem Statement
The company needed a scalable data warehousing solution at a fair price to deal with the rapid global expansion. They approached Aegis for a solution that consolidates their company data efficiently and drives data-driven decision-making.
The company shared the following pain points:
- Our data is everywhere across various systems like POS, loyalty programs, and supply chain management. We need a centralized view of our operations to optimize performance.
- Our existing system can't provide insights fast enough where we need the real-time analytics to track our sales, inventory, and customer behavior.
- We are facing inaccurate reporting and operational inefficiencies, and we need to ensure compliance with regulations to protect sensitive customer data.
Solution Offered
Aegis SoftTech has implemented an AWS-based cloud data warehouse solution, using the following AWS tools and development stages to address the client's pain points.
Tech Stack Used
- Amazon Redshift
- AWS Glue, AWS Lambda
- AWS Kinesis
- AWS Lake Formation
- Amazon QuickSight
- AWS IAM, AWS Shield
- Redshift Spectrum, Elastic Scaling
Development Process
- Integrated various data sources (POS, apps, loyalty programs) into AWS Redshift.
- Automated ETL processes using AWS Glue and Lambda.
- Enabled real-time data streaming with AWS Kinesis for instant decision-making.
- Applied data governance and quality management using AWS Lake Formation.
- Implemented Amazon QuickSight for business intelligence and reporting.
- Ensured data security with AWS IAM and encryption tools.
Outcomes
- Improving decision-making speed by 40%.
- Improved inventory management and promotions by 30%.
- Increased data accuracy and compliance by 25%.
- Optimized marketing and staffing, leading to a 20% increase in sales efficiency.
- Reduced infrastructure costs by 15% using Redshift’s elastic scaling.
- Enhanced operational efficiency, boosting customer satisfaction by 10%.
Future Implications
The AWS-based solution supports future global expansion, ensuring seamless data integration, real-time analytics, and robust security. Our solutions will position the company to adapt quickly to market changes and continue growing.
Conclusion
The Aegis team successfully sorted the challenges faced by the coffee and food chain company with the cloud data warehousing solution on AWS. The solution has improved the way the company operates in terms of efficiency, customer engagement, and decision-making.
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