WHAT WE DO

E3 Analytics is a building diagnostic intelligence company that helps organizations quickly reduce their utility costs — no new meters, audits, or hardware required. Our E3 Building Pulse Diagnostic System™ analyzes the changes in utility billing data from any source and automatically detects anomalies, diagnoses their root causes, and quantifies their financial impact — exposing operational inefficiencies, equipment issues, and hard-to-detect billing errors — as they occur.

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 by automatically structuring, standardizing, and streamlining that data — enabling 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, pricing, and cost patterns — exposing hidden inefficiencies in consumption, power utilization, equipment performance, billing, and commodity price exposure that would otherwise go undetected.

WHY IT MATTERS: By automatically diagnosing and quantifying operational inefficiencies, equipment issues, and hard-to-detect billing errors — as they occur — organizations gain continuous operational intelligence that reduces waste, improves efficiency, and eliminates unnecessary costs.

 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 ADVANTAGES:

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

MAIN PURPOSE: Empowering building owners and operators to control their utility costs  by automatically diagnosing and quantifying hidden operational and financial inefficiencies in their energy and water usage, pricing, and billing patterns  — as they occur.

BASIC CONCEPT: Automatically linking changes in utility cost patterns to changes in the patterns of their underlying causal factors, to simultaneously detect, diagnose, and quantify  anomalies  — as they occur.

PRACTICAL ADVANTAGES:

• Automatically  diagnosing  and  quantifying:

• Operational inefficiencies (i.e. inefficient power utilization; such as chiller startup in the middle of the day and boiler startup early in the day; water inefficiencies, scheduling problems, control issues, etc.)

• Equipment issues (i.e. water leaks, steam leaks, malfunctioning boilers, and broken meters)

• Hard-to-detect billing errors (i.e. over-estimated consumption, overlooked applicable discounts, uncredited payments, and illegitimate "balance forward" amounts)

— as utility bills arrive.

• Unhedged commodity price exposure (cost increases driven by market pricing).

• Automatically quantifying the impact of implemented energy saving measures.