Why do Industrial Companies need a data
lake?

Analyzing the massive quantities and types of data generated in an industrial setting can enable effective predictive maintenance, improved demand forecasting, device fleet management, and visibility into production challenges at all levels, and so much more. However, data silos make it difficult to capitalize on advanced, real-time, and predictive analytics or to use AI/ML to determine the best actions to take to improve production. Read the eBook to learn how using data lakes to store structured and unstructured data can help industrial organizations optimize operations.



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