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%
|
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:
Delays in data availability and processing
Poor data quality
Difficulty in accessing the data across the entire organization
Nisum implemented a data lake architecture with an upgraded tech stack using Google Cloud, which resulted in:
Optimized data availability and processing by making improvements in their DevOps practices with a CI/CD strategy for all projects, allowing the client to:
Increase the performance of the real-time data transmission process by performing a data stream
Increase the data availability by developing and improving tools for migrating the sensor data to the data lake
Increase the capacity for growth due to the scalable nature of a data lake solution
Facilitate operations to perform analyses using ML and interaction with visualization tools
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.