Insight Driven Analytics for Cloud Transactions Optimization for a Leading Manufacturer in US
Overview
A leading US-based manufacturer of plumbing products and accessories wanted to reduce the increasing cost of cloud data transactions from their 5k+ field devices keeping the end-user experience intact. ACL Digital optimized cloud data analytics along with mobile app and gateway firmware.
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Challenges
Redesign overall architecture of cloud
Failure to capture data from various graphs
Limited application performance & user experience
Solution
- Captured 5K+ field devices data from cloud & validated it using various Python libraries like Pandas, Scipy, NumPy
- Visualized the captured data in the form of different graphs
- Derived insights from data analysis, identified the most frequent, redundant & duplicate transactions and strategically worked to optimize the cost
- Redesigned overall cloud communication architecture based on the insights by improving the gateway firmware and mobile application to achieve ~87% cloud transaction optimization
- Optimized gateway firmware & network requests for mobile app to communicate with cloud only when user is active on the app & upload data changes on cloud when required instead of frequent transactions
Outcomes
- Reduced operational cost with 87% reduction in average data transaction to the cloud
- Enhanced application performance and user experience by optimizing reoccurring function calls and minimizing data requests from the cloud
