Using an innovation pipeline approach to introduce a self-service, plant data analytics system to the workforce.
Time & Location
Thursday: 12.20 to 12.40, Stage 4
Darren SteeleTechnical Advisor, IT Vizion, Inc.
About this presentation
Plant data is abundant and is generated at different velocities from a variety of data sources. Engineers, operators and subject matter experts are often equipped with legacy software and back-office tools that were not designed to handle large volumes of real-time data. From data cleansing to forecasting and modelling, effective analytics is required to extract insights from data and provide decision support to the workforce. However, time-to-learn is scarce and not all line-of-business professionals can also be data scientists or programmers. Therefore, a no-code, purpose built, self-service analytics system is required in order to enable the work-force to perform vital plant data analytics. The introduction of such innovations is just as important and this session describes an innovation pipeline approach that can be used to make incremental improvements whilst dealing with the day-to-day demands of running a plant.
Darren Steele is a Chemical Engineer and consultant to IT Vizion, Inc. Darren has previously worked for ABB, Siemens and GE in a variety of technical consulting and management roles around the world. Darren has spent over 20 years helping industrial and manufacturing clients to bridge the gap between Information Technology (IT), Operational Technology (OT) and people. Darren is a pioneer in Operational Intelligence and has architected many successful plant data analytics solutions and integrated decision support systems that deliver better business outcomes for his clients.