Engineering Analytics
Combining on-floor data with advanced analytics could unlock new approaches to monitoring and maintenance, adapting to dynamic conditions, predicting accidents, and recommending preventive/prescriptive actions.
Our approach
SES helps identify on-floor issues, select relevant datasets, integrate multiple sources, and outline analytics implementation to track/preempt incidents. Our analytics framework comprises data engineering via real-time and other sources, data storage & modeling to generate insights, and finally data visualization in the form of alerts and dashboards.
Our services
Advisory and consulting – assessment, analysis, and recommendations
Data engineering – mining, storage, and reports mechanisms
Analytics modeling – AI, deep learning, edge learning, and others
Validation & testing – verification and on-ground checks followed by iterations
Deployment & business operations – implementation, customization, and support
Engineering Analytics Solutions
Engineering Analytics or Big Data Analytics is all about making better informed decisions based on engineering data. Increased competition and reduced time-to-market create a demand for insightful big data analysis and prediction of future trends. Engineering Analytics using Big Data, therefore, has become an integral part of every organization to assess the operational,technical and business environment accurately; and Redeem Systems, as a Big Data and Engineering Analytics Solutions Company, is well poised to provide end-to end services.
Product Engineering Analytics solutions allows OEMs to draw meaningful insights by processing information from machines. OEMs, suppliers and service providers have a significant opportunity to drive growth in the emerging and evolving connected-machine era.
As OEMs are gaining better knowledge of the benefits of engineering analytics or big data analytics — improved customer understanding, identifying new opportunities, reduced time-to-market and improved efficiency – we at Redeem Systems offer big data analytics solutions, based on In-Memory Analytics, Machine Learning and Deep Learning, to move up the value chain of engagement with our customers.