ROI Driven Adv. Analytics in Capital Assets using Seeq
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- 29/07/2021 - 11:00 am - 12:00 pm IST
Industry Focus: Cement, Metal & Mining
With the advent of Technology every industry is trying out new tools and solutions to innovate their own business in a very different way. Data Analytics which has recently seen a major attraction in manufacturing space seems to provide a wide range of solution to support various program level initiatives. Energy Intensive companies such as Cement and Metal/Mining sectors are trying to derive maximum value out of their large process data to achieve various levels of benefits such as predictive maintenance, quality prediction, energy/power optimization and OEE.
Seeq which is a proven and trusted technology by large number of global manufacturing organization, show the potential to save multi-million dollars by providing solutions around all types of analytics such as predictive, prescriptive, diagnostics, and prognostics. Its ease of use, scalability and collaboration specs enables the siloed operations team to work collaboratively to achieve the common goals of improvement across process/operations. The advanced capabilities of Seeq can extend itself to provide wide range of solution for Capital Assets in Cement and Metal/Mining companies to realize the ROI within few weeks from the point of deployment.
Cement industry which all together contributes to more than 3% of the total GHG emission with energy consumption of more than 5% has the potential to realize much larger ROI in terms of capital and operational investments by leveraging the Seeq Solution. Metals & Mining industry has also been observed to consume nearly 40% of total energy utilized across the operations which shows the potential to optimize the processes at various levels.
This webinar will focus on application of Seeq modules to apply real-time predictive analytics and energy optimization/parameter optimization in Cement and Metal/Mining companies.
Who should attend:
CIOs, CEOs, CTOs, Operations/Process Head, Data Analysts/Scientists, Visualization Engg., Data Engineer, Digital Leaders, Inventory management team