WHAT WE DO

We provide integrated utility diagnostic systems for buildings that automatically analyze the causes of changes in monthly utility costs, exposing invisible operational inefficiencies, equipment issues, pricing anomalies, and billing errors as they emerge — before losses compound.

WHY WE DO WHAT WE DO

Energy and water billing data have a serious data processing problem — they are structurally incompatible, inconsistent, and fragmented due to incomparable pricing models, daily and seasonal fluctuations, irregular billing cycles, and diverse commodity suppliers. E3 Analytics solves this problem by automatically structuring, standardizing, and streamlining that data — enabling structured, contextualized comparisons to historical baselines and the automatic linkage of changes in cost patterns to their underlying causal factors.

As a result, building owners and operators gain the ability to concurrently detect, diagnose, and quantify anomalies  in usage, power utilization, pricing, and cost patterns — exposing invisible operational and financial inefficiencies that may otherwise go undetected for months or years.

WHY IT MATTERS:   E3 protects organizations from recurring invisible operational and financial inefficiencies before losses compound into unrecoverable costs. This is especially important because many utility billing adjustments are subject to limited recovery periods, meaning losses that remain undetected for months or years may never be recovered.

 CONVENTIONAL ENERGY MANAGEMENT DASHBOARDS

MAIN PURPOSE:  Collecting and reporting billing data for budgeting, energy purchases, and compliance reporting.

BASIC CONCEPT:  Capturing and monitoring metering data

PRACTICAL APPLICATIONS:

• Reporting utility consumption for compliance with sustainability goals.
  
  
• Detecting possible billing overcharges.
  

MAIN PURPOSE: Empowering building owners and operators to control their utility costs by continuously detecting, diagnosing, and quantifying invisible operational and financial inefficiencies in their energy and water utilization and costs.

BASIC CONCEPT: Automatically linking the changes and the rates of change in utility cost patterns to the corresponding rates of change in the patterns of their underlying causal factors, to simultaneously detect, diagnose, and quantify anomalies.

UNIQUE ADVANTAGES:

• Explaining the monthly changes in utility costs — from a whole organization to the smallest account.

• Unifying four normally separate utility cost drivers into one continuous diagnostic workflow:

• Power Utilization (e.g. anomalies in load factor patterns).
  
  
• Usage (e.g. operations-related anomalies in consumption patterns, including water leaks, steam leaks, and metering issues).
  
  
• Pricing (e.g. anomalies in distribution pricing and commodity pricing patterns).

• Billing (e.g. over-estimated consumption, erroneous charges, and uncredited payments, discounts, and allowances).