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Analytics, Simulation and Automation are critical for enhancing quality of decision-making in Business Process Management, to enable reducing costs and boosting performance in organizations.

Performance and conformance of processes is suitably evaluated with the help of Process Analytics, which is key for the delivery of timely insights about how an organisation works and what bottlenecks exists in services and products. Simulation of Processes demonstrates how the process works under multiple scenarios to provide important insights for successful change management. Specification and documentation of Business Processes using the industry standards of Business Process Modeling Notation (BPMN) and Decision Modeling Notation (DMN) increases the transparency of processes within an organization to enable process automation. 

Asset classes undero cyclical boom and bust scenarios over time which are examined by financial institutions primarily by Stress Testing. Stress Testing is a well established risk management tool which is highly prioritized with respect to banks' capital due to the regulatory requirements that banks have to comply with. 

A major challenge for Financial Institutions is to anticipate solvency and profitability in the advent of market crisis which - based on experienced patterns over the last decades - repeats globally and regionally by certain cycles. The following article provides a brief outline of historic crash events affecting Financial Markets pre 2008.

Enabled through advances in Information Technology (IT), Artifical Intelligence (AI) and Machine Learning (ML) find applications across multiple areas of Finance. Today, the availability of machines and algorithms specialised in learning and decision making from data make applications possible that draw insights from complex and high dimensional data. In addition, novel data sources lead to an increase in data complexity whilst providing a lever to usefulness of AI-ML techniques.