Leverage data science and model-driven practices for manufacturing. Harness IoT data and predictive analytics capabilities to optimize supply chain, pricing, proactive maintenance and other key business functions.
Data from manufacturing facilities isn't always in a readily available digital format, which makes accessing the data a challenge.
Manufacturing use cases are not as obvious and straightforward as those of digital native companies.
Adoption is challenging due to the complexity of the operations and the network of people, machinery, regulations and logistics involved.
Develop predictive and prescriptive models to anticipate demand for different parts and services, identify customer churn risks, optimize marketing spend, prices and promotions.
Collect, process and analyze IoT data from smart devices in the manufacturing process. Connect and transform data from a variety of raw data sources and build models to identify issues and opportunities.
Instrument your supply chain with models built using modern data architecture, flexible open source tools and elastic compute, so you can incorporate real-time data sources such as sensors, GPS and RFID tags.
Manufacturing leaders in automotive, electronics, consumer products, pharmaceuticals, engineering, aerospace and defense run on Domino. Domino provides data scientists with easy access to different data sources, the tools they prefer and elastic compute. Data scientists can collaborate using Domino, deploy and share models with manufacturing managers, build visualizations and reproduce past experiments.