Generally, there are several analytical techniques available to solve a Performance management anomalies detection problem. The Data Scientist often needs to iterate over those techniques to find the best solution. SAS Viya allows a data scientist to iterate and fail fast is necessary to shorten the model development phase and to simplify the model operationalization process. For the anomaly detection task, we implemented on SAS Viya two techniques: > Machine Learning for time series data > Time series analysis For real time anomalies detection with no historical date we use SAS Event Stream Processing (SAS ESP engine). SAS® Viya® is an AI, analytic and data management platform that runs on a modern, scalable architecture. Use proven AI to operationalize insights so you can find and act on hidden opportunities before the competition​. Balance costs and agility with a cloud-native platform and built-in automation that enables you to strengthen your operations.​ Get results in seconds – not hours – with massively parallel processing. Built-in governance makes your decisions repeatable, explainable, transparent and trustworthy – no matter the scale of your data, users and workloads. Empower everyone to make faster, better decisions by democratizing data and analytics. Unify disparate technologies, skill sets and processes with end-to-end capabilities powered by automated AI.​