Web Cast

Reduce Risks and add Value to Refinery Operations by Leveraging IOT Analytics on Existing Data Sources

Above and beyond “best of breed” application analytics, Andeavor has been integrating right-time sensor data from refinery systems with business and enterprise data from across the organization. The integrated data model provides a holistic and cross-functional view of the downstream sector that spans business units, facilities and disciplines to decision-makers. Through the development of a near real-time holistic dashboard and analytics solution, executives and managers are able to improve their understanding of how specific actions impact the overall organization—and the impact on the bottom line. Insightful manufacturing analytics create the ability to make better, more educated decisions based on data observations. Access to timely “deep analytics” has the potential to improve operational efficiencies where field-decisions are being made.

We will discuss how analytics are enabling business insights by having quality near real-time data sets that combine large quantities of sensor data and business information. Quality and timely analytic models can produce better predictive information and produce improved quality and cost-saving decisions within the Oil & Gas business.

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