With the proliferation of the Internet and Cloud Technologies, several options are now available to acquire and analyse both real-time sensor data and other types of asset data (e.g. images, manual inspection results, etc.), using Internet of Things, SCADA, Historian, MES (Manufacturing Execution Systems), etc. These systems, if deployed correctly, could all play their part in an organisation but also have the potential of creating more data silos if not designed judiciously. 

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We see these diverse data sources as agents for Collaboration and Digital Transformation, which, with the right context, present a holistic view of the state of an asset or process. The actual process of data integration remains transparent to the user. Thus, the business manager can focus on the various KPIs and metrices that impact the plant operations and performance without having to worry about how to capture data from all these sources.

1. Discover the hidden Relationship among the time-series variables. 

2. Monitor for Change of Relationship

3. Monetise the discovered relationship  for Operational Excellence

4. Derive Operations Intelligence from Real-Time Forecasting