Fast Energy Intelligence for multi-site enterprise clients
Poor data quality undermines analysis
Correct operational context is essential
Delayed diagnosis costs money
Where to start
time-to-action
Man-machine collaboration solves this !
Data spikes, non-comms. and meter rescaling must be exposed
Ranked priority,
(by size, scope, duration etc)
on your desk each morning
A track-record of success
depends on iron-clad prognosis
Many sites and many charts mean it is hard to see the wood for the trees
Exclude poor data,
Note operational change,
Rescale history as necesssary
Setting thresholds is a pain!
Self-adaptive models
speeds diagnosis
Before / After contrast
transparent quantification in operational context
Single-click access from outlier site to detailed diagnosis