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Insight Driven Analytics for Cloud Transactions Optimization

Insight Driven Analytics for Cloud Transactions Optimization for a Leading Manufacturer in US

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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
    Architecture for Insight Driven Cloud Transaction Analytics

    Outcomes

    Benefits Insight Driven Analytics for Cloud Transactions Optimization
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