Success Case | Manufacturing Quality Data Exploration
Multinational company dedicated to providing innovative rigid plastic packaging solutions through 44 plant-in-a-plant facilities and nine “nearby” facilities worldwide.
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The Challenge
Identification and study of the variables that impact in the quality of the bottles manufactured so those variables can be managed to reduce the ratio of bottles rejected.
The Solution
Keepler deployed a data exploration environment in AWS and set up an ensemble of two Data Models using 30 out of the hundreds of existing variables generated from SIDEL machines that influenced the most in the quality of the bottles manufactured.
The Result
Keepler is a full-stack analytics services company specialized in the design, construction, deployment and operation of advanced public cloud analytics custom-made solutions. We bring to the market the Data Product concept, which is a fully automated, public cloud services-based, tailored software that adds advanced analytics, data engineering, massive data processing, and monitoring features. In addition, we help our customers transition to using public cloud services securely and improve data governance to make the organization more data-centric.
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