Teerth Technospace, Baner
Industrial IoT

Advanced Analytics

Advanced analytics is at the core of the Industrial Internet of Things (IIoT). When analytics are applied to machine and process data, they help optimize decision-making and enable intelligent operations. These new insights and intelligence can be applied across any level of any industry if the appropriate data can be collected and analytics are applied correctly. If data is the new oil, data analytics is the new engine that propels the IIoT transformation.

The Industrial Internet of Things (IIoT), also known as the Industrial Internet, brings together brilliant machines, advanced analytics, and people at work. It’s the network of a multitude of devices connected by communications technologies that results in systems that can monitor, collect, exchange, analyze, and deliver valuable new insights like never before. These insights can then help drive smarter, faster business decisions for industrial companies.

By combining machine-to-machine (M2M) communication, industrial big data analytics, technology, cyber security, and HMI and SCADA, the IIoT is driving unprecedented levels of efficiency, productivity, and performance. And as a result, industrial companies in power and energy, oil and gas, manufacturing, healthcare, aviation, and many other industries are experiencing transformative operational and financial benefits.

Features

  • Fault detection and diagnostics
  • Rule engine, for user defined rules.
  • Downtime prevention.
  • Identify change in operating characteristics over time.
  • Predictive inventory planning.
  • Optimal usage of resources through the use of targeted, smart dashboards.
  • Benchmarking with comparable equipment, to identify optimization opportunities.

Advantages

  • Data analytics reduces the costs associated with running a business.
  • Data analytics cuts down on the time needed to come to strategy-defining decisions.
  • Data analytics help to more-accurately define customer trends.
  • Ability to Optimize Manual vs. Automatic Decision-Making and Execution.
  • Lower Inventory Costs and Higher Revenue.
  • Integrating new data streams delivers a more comprehensive view of your overall business.
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