Nisum used data science to create a data lake infrastructure to improve the business processes and included cloud security.
To improve business processes, we created a data lake infrastructure, which led to:
+16%
|
up to +70%
|
Business Challenge
A multinational paper goods manufacturing company in LATAM was unable to receive data in real-time and the data they did receive was not structured or machine learning-ready, leading to:
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Delays in data availability and processing
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Poor data quality
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Difficulty in accessing the data across the entire organization
Solution
Nisum implemented a data lake architecture with an upgraded tech stack using Google Cloud, which resulted in:
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Optimized data availability and processing by making improvements in their DevOps practices with a CI/CD strategy for all projects, allowing the client to:
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Increase the performance of the real-time data transmission process by performing a data stream
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Increase the data availability by developing and improving tools for migrating the sensor data to the data lake
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Increase the capacity for growth due to the scalable nature of a data lake solution
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Facilitate operations to perform analyses using ML and interaction with visualization tools
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Increased security by migrating on-prem to cloud
Feel free to contact us for more information on how Nisum can drive results for your company.
