The Use of Gartner’s Analytics Ascendancy Model to Enhance System Reliability: A Convergence of Data Analytics and Knowledge Management Techniques

The proliferation of data acquisition and sensor technology has made enormous amounts of data available to System Engineers (SE) which can facilitate real-time monitoring and enable the creation of reliability models improve operational and maintenance decisions. Gartner’s Analytics Ascendancy Model (AAM) identifies four types of statistical tools in an increasing order. Starting from descriptive statistics, it progresses to diagnostic methods to predictive methods and finally prescriptive analytics. Implementing Knowledge Management (KM) programs can help the SE convert the information from AAM into knowledge and use it to improve system performance. This may lead to a sustainable Machine Learning (ML) environment and autonomous system reliability adjustments.
Speaker(s): Dr. Ashraf Sadek,
2000 Simcoe Street North, Oshawa, Ontario, Canada