Presented by

John C. KessegVP of Sales

eiVia, Inc.

703-408-1534

Confidential Proprietary Information

eiViaEnergy Consumption Management – Forecasting,

Planning, Financial Modeling - CAPEx Planning /

Execution, Optimization, & Carbon Footprint

Performance Impact Analysis

“I was watching my dashboard, I don’t

know how this could have happened ! “

Business Intelligence Dashboards have their limitations. Events

happen rapidly and unexpectedly it is being able to anticipate events

or react and mitigate around an event that distinguishes top

performers. Arguably, even real time data is not fast enough….we

need more time to formulate our response to changing events. We

now need continuous and very accurate forecasts. We need the ability

to model the impact of forecasts and response scenarios . Today,

decision makers are overwhelmed with news and data, but navigating

between events and Business Intelligence is a challenge.

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• Real time data is not fast enough

• Need continuous accurate forecasts

• Need real time financial modeling

• Collaboration for effective rapid respond

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RESPONSE

Decision Support

(Plan, Forecast, Budget, Model)

• EVENTS• DRIVERS• ACTIONS• CAUSES

• OUTCOMES• RESULTS• REACTIONS• EFFECTS

eiVia – meeting the forecasting & financial modeling

challenges in the Environmental Energy Management Market

•Within Environment and Energy Management Market - the biggest challenge is

forecasting long term energy consumption, cost and GHG emissions at both the

top line and granular levels.

•The data dimensions usually include time, energy type, source, use, and

location

•Organizations need to create a baseline forecast. If we do nothing, what does

the future look like?

•They then need to model and Optimize CAPEx spending on energy Cleantech

initiatives to take advantage of subsidies and rebates, lowering their operating

costs and financing capital expenditures.

•eiVia’s multidimensional and hierarchical forecasting and modeling provides

these capabilities in one toolset.

•eiVia can add competitive advantage to your Energy & Environmental

Management solution set.

Areas of Impact:

• manage an organizations sustainability footprint.

• Set and meet sustainability goals

• Decision support around CAPEx asset investment.

Type of impact:

• Statistically baseline measures of energy (usage & cost), carbon emissions,

water usage, and waste streams.

• Empirically forecast measures of usage in time series

• Model across measures for mitigation of market place changes.

• Model within a measure’s higherarchal structure for optimization.

• Model for optimization across measure and against goals by constraining any

measure at any level in the higherarchy.

• Write back optimization and mitigation models to the data warehouse for

reporting.

eiVia’s Competitive Value Add for EEM

eiVia’s capabilities in the Environmental

and Energy Management Markets

Energy Consumption Forecast - Modeling

Empirical Forecasting:

Trend, seasonality and cyclical forecasting

Causal forecasting

Override / Modify (User-changes of forecasted values)

Data Entry

Data Values - Empty data fields

Model inputs – Causal forecasting

Short-term, annual, and long-term forecasting on energy consumption, cost and GHG emissions at both the topline and granular levels . Top-down, bottom up and inside-out continuous redistribution

Goal seeking (cell locking) and modeling with constraints

Support collaborating user community with different assigned roles

Support workflow – track changes, review and approvals

Write-back to data mart

Maintain multiple versions of forecasts

Forecasting “Energy Consumptions / GHG Emissions Management”

Forecast KWH, CM, Liters/Gal, GHG Emissions

Forecasting Energy Consumptions / GHG Management

5 year Forecast Horizon

Forecasting Energy Consumptions / GHG Management

Drill Down by Organization / Function

Forecasting Energy Consumptions / GHG Management

Drill Down by Organization / Function/Usage Types

Forecasting Energy Consumptions / GHG Management

Drill Down by Organization /Function/Usage Types

Forecasting Energy Consumptions / GHG Management

Drill Down by Organization / Continent / Location

Expense Models-CAPEx

Maintain multiple versions of CAPEx expense models - Evaluate and demonstrate ROI through optimal CAPEx allocation in energy efficiency and resource reductions

Empirical Forecasting

Override/Modify - What if? modeling (non additive measures like weighted average price)

Top-down, bottom up and inside-out continuous redistribution

Goal seeking – optimization modeling and modeling with constraints (cell locking)

Support collaborating user community with different assigned roles

Support workflow – track changes, review and approvals

Short-term, annual and long-term expense modeling

Write-back to data mart

CAPEx Expense Modeling

Emissions Models

Consumption to Emissions Conversion Functions easily embedded in Eivia – Carbon Modeling

What if? modeling – objective function is emissions reduction

Empirical Forecast – embedded SPSS time series forecast models

Top-down, bottom up and inside-out continuous redistribution

Support collaborating user community with different assigned roles

Support workflow – track changes, review and approvals

Short-term, annual and long-term emissions modeling

Write-back to data mart for reporting

Maintain multiple versions of emissions models

Emissions Models

Meeting Energy Consumption Goals

Plan

Energy Expense Budget

Energy Consumption Goals

Emission Goals

Capital Expenditures

Energy planning, CAPEx iniciates and the impact of sudden increased costs

and resulting decrease in consumption for a region

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The hierarchical and cross-dimensional impact of one change

Reduce

Energy

Consumption

Global monitoring of consumption implies complex hierarchical

Modeling at a global, regional, local, and device level. Eivia capability

will allow for modeling at any level and make changes at all related

points in the higherarchy: Top down, bottom up or inside and outside.

Indirect Changes

Eivia also models across measures as a change at any level not only impacts

within a measures higherarchy, but every function related to the impacted

measure.

ConsumptionExpenseEmissions

• Deep roots in Business Intelligence & Data Warehousing as Eivia represents

the 2nd generation tool from the management and development team of

Information Advantage

• Over $20 million invested in development of technology, to-date.

• Large commercial users: Pepsi, Cargill, and Johnson & Johnson.

• Go to market strategy is to provide the Eivia engine to SAAS Providers to

deliver decision support for their user community.

About Eivia

DataWarehouse

Eivia functions much like an enterprise spreadsheet. However, unlike a

spreadsheet we move data out of cells and off of desktops

of users.

Next, we move formulas out of spreadsheet

cells and processing off of desktops as all

processing occurs on the server.

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'Admin %'!$EJ$5:$EO$16,5),Q30))

What’s left?

A browser accessible lightweight app

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A powerful Decision Support Platform.

DataWarehouse

SharedCollaboration

In-MemoryHigh Performance

CommitApprove

ReleaseRecommend

SaveScenarios

Worksheet

eAnalyticeAnalytic

Architecture

Eivia Benefits Summary

• Familiar User Interface - Facilitates Rapid Adoption

• Web based application

Ready for the sweeping business changes associated with tablet computing

Zero Footprint

Information Assurance & security - Conforms to Enterprise Data Governance Best Practices

• Empirical Forecasting

• Complex Data Modeling Planning, and Forecasting

Multidimensional Database Navigation – model impact what if analysis on CAPEx initiatives

• E-Analytic allows for easy integration with complex business rules and functions