Machine generated manufacturing data is growing exponentially in volume, variety and velocity. This creates a huge opportunity for manufacturing houses to increase operational efficiency, improve productivity and gain a competitive advantage. Equipment data is generated at every level in different formats and granularities. This data is eminently suited for storage and analysis using cutting edge technology.
However, a vast majority of the data is still not used due to the lack of the very specialized technical expertise imposed by today’s tools. Juxt makes it easy for non-technical process experts to unearth the value of their operational data.
Juxt is a data and process integration system that enables industrial houses to leverage predictive analytics in the areas of preventive/prescriptive maintenance, yield optimization and operational efficiency.
Challenges to a Successful Data Driven Project
A number of companies hesitate to invest a lot of dollars and time upfront to implement data driven operations while they are unsure of the returns.
Companies are concerned about having to build an in-house team of technical experts after the initial implementation for maintenance and enhancements.
Companies that do invest in data projects end up finding that their implementations are a ‘black-box’ environment unable to incorporate new learnings or evolving requirements
Modular – Juxt offers a highly modular approach to building data apps. This enables companies to start simple and extend the functionality in phases as the value becomes apparent. This approach also enables users to quickly respond to changing requirements as they gain insights from their data
‘No Code’ Visual Designer – Juxt mitigates the need for a large team of technical experts using a easy to use visual, drag, drop and configure UX. With Juxt, process experts put together a process workflow using functional Lego(c) blocks, tie them together and hit run. Integrate data from a variety of sources, run predictive machine learning algorithms,visualize the results and drive operational responses.
Distributed Deployment – Juxt is highly scalable and can be deployed across the hierarchy. Analytics can be deployed at the edge where the data is generated, in the cloud or a hybrid of the two. Juxt has a very small footprint with deployment options in embedded systems at the edge close to the sensors enabling real time analytics right at the source. At the same time, Juxt is big data scalable with connectors to Hadoop data stores and compute clusters.
Juxt Technical Services
Juxt offers technical consulting services to kickstart your data projects. Please contact email@example.com to chat.