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Analytics in

Manufacturing

A fast path to becoming a data-driven manufacturing organization
maximizing the return on your investment in big data technologies.
Leverage Domain Expertise. Gain From Existing Tools. Speed Up Operations.
Accelerate Innovation.

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1. Manufacturing

It has survived not only
fivecenturies.

Cloud Data Science

How Does Cloud Data Science

Manufacturing analytics is the process of capturing, aggregating, and analyzing key performance indicators such as production volume, downtime, costs, return on assets, among others, in order to optimize the production process and meet business goals.

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Key capabilities

From the raw materials to investment, logistics and of course, the final product, manufacturing is an intricate process with many moving parts.

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Connections

Besides the non-tangible aspects of the manufacturing industry, there are financial and managerial aspects to oversee, not to mention a perpetually changing consumer demand and aggressive competition.

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Industries served

In the manufacturing industry, there are simply too many moving parts, both literally and figuratively. Advanced manufacturing analytics can be applied for a more comprehensive and robust decision-making process.

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What is Cloud Data Science

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Intuitive.Visual. Innovative

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Fast. Flexible. Collaborative

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How it helps you succeed

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Availability

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Performance

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Quality

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Maintenance

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Operation

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Safety