Coca Cola

Cloud Federations: Enabling Data-Driven Success for Coca-Cola Andina

Case Study: Coca-Cola Andina, a leading bottler in Latin America, sought to leverage data analytics for improved operational efficiency and customer satisfaction. Their data resided in various sources, hindering analysis and hindering data-driven decision making.

Cloud Federations, collaborated with Coca-Cola Andina to implement a comprehensive data analytics solution. Our expertise in cloud technologies empowered us to deliver the following:

Data Lake on Amazon S3: Designed and implemented a centralized data lake on Amazon S3 to ingest data from diverse sources including SAP ERP, CSV files, and legacy databases.
Automated Data Pipelines: Built automated data pipelines to seamlessly move and transform data into the data lake, ensuring data quality and consistency.
Secure Data Access Management: Implemented robust access controls to safeguard the data lake and grant authorized user access.
Collaboration with Thanos Development: Collaborated closely with Coca-Cola Andina's Thanos development team to understand data needs for inventory, distribution, and delivery management. We then designed and implemented efficient data structures and schemas to optimize Thanos functionalities and troubleshoot data-related issues impacting performance.
Data Warehouse Optimization: Maintained and optimized the existing data warehouse on Amazon RDS for efficient querying and data analysis.
Real-time Analytics with AWS Lambda: Configured and managed AWS Lambda functions to enable near-real-time data analytics, providing Coca-Cola Andina with valuable insights for immediate decision-making.
Machine Learning with SageMaker: Leveraged SageMaker, a machine learning platform, to develop and train models for predicting customer availability during deliveries and detecting duplicate orders. These models likely improved delivery success rates and reduced wasted resources.

Results: Through this collaboration, Coca-Cola Andina achieved significant improvements:

Centralized Data Repository: Established a centralized data lake, providing a readily accessible and organized data platform for analysis.
Enhanced Data Quality: Implemented data quality checks, leading to more reliable data and insights for decision-making.
Actionable Insights: Generated valuable insights on product distribution, employee productivity, and other key metrics, enabling Coca-Cola Andina to identify areas for improvement.
Improved Operational Efficiency: Machine learning models optimized delivery processes and potentially reduced errors.
Enhanced Customer Satisfaction: Increased delivery success rates likely led to a more satisfied customer base.

Cloud Federations' Impact: Our expertise in cloud technologies and data analytics played a pivotal role in Coca-Cola Andina's successful data-driven transformation. By implementing a robust data infrastructure and leveraging machine learning, we empowered them to gain valuable insights, optimize operations, and ultimately enhance customer satisfaction.