The customer supplies historical water quality

data (including abnormal events).

Decision Makers will supply a report that focuses on the question of how long before, and using which measurements and setups, such events may be detected. The report will also estimate the number of false positives and false negatives generated by such a setup.

The customer supplies historical data files of water quality (with or without abnormal events) from several monitoring stations and the water network's basic topology.

Decision Makers will supply a report that shows each monitoring station's relative efficiency and the optimal combination of sensors.

The customer supplies historical data files of water quality (without abnormal events).

Decision Makers will supply a report that presents water quality measurement statistics. This includes recommendations for low and high limits for the SCADA system, limits for the change monitoring rate, correlations between major variables, and prediction functions for key parameters.

Based on the Mindset-Suite (EDS, WebApp, and Field Monitoring), Decision Makers supply a cloud-based water monitoring service. Decision Makers will train the water utility staff to use the software. Decision Makers carry out all building and tuning of models. Periodic meetings will occur between the DM team and the water utility staff to review reports, engage in Q&A, and acquire a deep understanding of the water utilities' water data.