The Properties Summary gives analysts an insight into the makeup of their DMAs, built using open source census data.

The Academy button takes users to our training site, where they can review articles and videos relevant to leakage investigations, case studies or simply the use of the Paradigm user interface.

The export button allows users to download the data in the overtime graph in a .csv format if they wish to interrogate it further in excel.

The Company Overview button gives users an overview of all DMAs subject to Paradigm analysis.

The Activity Tab allows users to record activities being carried out in the DMA and review those that have been raised against this DMA in the past.

The Activity Workbook is the central repository of all actions raised against Paradigm DMAs.

The Adjacency tab shows users what DMAs lie alongside the area they are investigating and shows the relationship between the areas, i.e. whether they are upstream, downstream or simply adjacent polygons.

The DMA badge provides additional information about the DMA that may not be immediately obvious, for example whether it is affected by changes in consumption linked to Ramadan or, in this case, whether it is a student DMA subject to the changes in consumption typical of a transient population.

The Paradigm Rating is a measure of confidence in the model for an area.

The Demand Summary gives a breakdown of the assumed demand in the area, broken down by Household, Non-Household and Continuously Logged Users.

The Weekly Workstream bar at the top of the performance graph shows the colour coded workstream that Paradigm applied to the net flow data. Each week Paradigm assigns every DMA a workstream.

The user can select which components of the modelled profile they wish to be able to see on the DMA performance graph.

This part of the graph is based on industry standard formulas and represents the expected background leakage in the area.

The Household component uses the most recent census data to predict the shape and volume of HH consumption by building up a picture of the area’s population.

Using billed volumes alongside an analysis of the patterns of consumption in an area, the non-household component estimates NHH demand through the week. Real data is used for continuously logged users due to their substantial impact on demand.

The orange line is the total of the Household, Non-household, CLU and background leakage components.

The blue line is real net flow data which is compared to the model.