Coca-Cola
Growth with Scalable Data Transformation
Coca-Cola, a global leader in the beverage industry, faced data transformation challenges as its existing Databricks infrastructure struggled to keep up with growing data demands. Slow processing times, scalability issues, and inefficient reporting delayed business decisions and impacted operations. SymuFolk, in collaboration with IBM, optimized Coca-Cola’s data processes, ensuring faster insights, improved governance, and future scalability.
Total Hours
0
+
revenue Growth
0
%
Betriebskosten
0
k
Zufriedenheitsrate
0
%
Herausforderungen
Coca-Cola encountered several bottlenecks that affected operational efficiency:
- Slow Data Processing: Databricks notebooks took hours to execute, delaying critical insights.
- Real-Time Insights Needed: Business teams required faster analytics to stay competitive.
- Decision-Making Delays: Inefficient data workflows slowed strategic decision-making.
- Reporting Inefficiencies: Long processing times hindered accurate and timely reporting.
- Scalability Issues: The infrastructure struggled to handle increasing data volumes.
Lösung
SymuFolk fine-tuned Spark configurations, refactored code, and optimized caching to reduce execution time and resource utilization significantly. By implementing adaptive query execution, we enhanced performance, governance, and scalability.
We designed a Data Strategy, Governance, and Reporting Architecture (DSRA) pipeline to ensure seamless data ingestion, transformation, and reporting. This scalable framework improved data quality, governance, and decision-making speed, enabling Coca-Cola to handle future growth with ease.
We designed a Data Strategy, Governance, and Reporting Architecture (DSRA) pipeline to ensure seamless data ingestion, transformation, and reporting. This scalable framework improved data quality, governance, and decision-making speed, enabling Coca-Cola to handle future growth with ease.
unser Beitrag
Python
GraphQL
Node.js
NestJS
PHP
Microsoft Net
ERGEBNISSE
SymuFolk’s optimized data strategy transformed Coca-Cola’s data processing, efficiency, and scalability, enabling faster insights, reduced costs, and improved accuracy.
SymuFolk’s optimized data strategy transformed Coca-Cola’s data processing, efficiency, and scalability, enabling faster insights, reduced costs, and improved accuracy.
40%
40%
Operational Efficiency
Reduced manual intervention by 40%
30%
30%
Reporting Accuracy
Improved reporting accuracy by 30%
£25M
£25M
Gesamtbewertung
Von 0 £ bis 1 Mio. £ Produktbewertung basierend auf einer soliden Entwicklung.
wie wir es gemacht haben
Assessment & Analysis
Evaluated Databricks infrastructure, identifying inefficiencies.
Optimization & Refinement
Fine-tuned Apache Spark, refactored code, and implemented caching for performance gains.
Pipeline Design
Developed the DSRA pipeline to improve scalability, governance, and reporting.
Implementation & Testing
Deployed and rigorously tested the solution to maintain data integrity and speed.
Monitoring & Continuous Improvement
Set up real-time monitoring and automated checks for ongoing optimization.
Scalability Limitations
The existing infrastructure struggled with increasing data volumes.
Technologien
WIR VERWENDET
Schöpfungsprozess
Erste Einschätzung
Conducted a detailed evaluation of Coca-Cola’s Databricks infrastructure, identifying performance inefficiencies, scalability limitations, and reporting delays.
Solution Design
We optimized the Databricks notebooks through Spark tuning, code refactoring, and caching to significantly improve performance.
Implementation & Optimization
Designed and deployed the DSRA pipeline to enhance data governance, transformation, and reporting while automating manual workflows.
Testing & Performance Tuning
Conducted rigorous testing to ensure seamless system performance, improving reporting accuracy and data consistency.
Ongoing Monitoring & Support
Established real-time monitoring tools and automated checks, ensuring long-term scalability, cost efficiency, and sustained system performance.
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