Improving Financial Analysis with AMI Data

Smart meter data is more granular and more timely than monthly billing data. Access to this data supports a paradigm shift in forecasting processes, allowing analysts to develop more powerful methods and to implement new approaches.

In our next brown bag, we focus on the shift from monthly to daily modeling and show how this shift can improve clarity and visibility in forecasting and variance analysis processes. Join Stuart McMenamin in this second brown bag of the year on Tuesday, May 21 at noon PDT for “Improving Financial Analysis with AMI Data”.

You can register for this brown bag and other forecasting events at www.itron.com/forecastingworkshops.