eiVia provides forecasting, planning, and financial modeling software to help organizations manage energy consumption, costs, and carbon footprints. The software uses empirical and causal forecasting, goal seeking, and optimization modeling to create baseline forecasts and model the impact of capital expenditure plans. It allows for drilling down across different dimensions like organization, location, and usage type. This enables collaborative scenario modeling and optimization of energy efficiency initiatives.

1. eiVia
Energy Consumption Management – Forecasting,
Planning, Financial Modeling - CAPEx Planning /
Execution, Optimization, & Carbon Footprint
Performance Impact Analysis
Presented by
John C. Kesseg
VP of Sales
eiVia, Inc.
703-408-1534
Confidential Proprietary Information

2. 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.
“I was watching my dashboard, I don’t
know how this could have happened ! “

3. NUMBERS
Business Intelligence
Event Intelligence
NEWS
• Real time data is not fast enough
• Need continuous accurate forecasts
• Need real time financial modeling
• Collaboration for effective rapid respond

4. NUMBERS
Business Intelligence
RESPONSE
Event Intelligence
NEWS
Decision Support
(Plan, Forecast, Budget, Model)
• EVENTS • OUTCOMES
• DRIVERS • RESULTS
• ACTIONS • REACTIONS
• CAUSES • EFFECTS

5. 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.

6. eiVia’s Competitive Value Add for EEM
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.

7. 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

8. Forecasting “Energy Consumptions / GHG Emissions Management”
Forecast KWH, CM, Liters/Gal, GHG Emissions

9. Forecasting Energy Consumptions / GHG Management
5 year Forecast Horizon

10. Forecasting Energy Consumptions / GHG Management
Drill Down by Organization / Function

11. Forecasting Energy Consumptions / GHG Management
Drill Down by Organization / Function/Usage Types

12. Forecasting Energy Consumptions / GHG Management
Drill Down by Organization /Function/Usage Types

13. Forecasting Energy Consumptions / GHG Management
Drill Down by Organization / Continent / Location

14. CAPEx Expense Modeling
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

15. Emissions Models
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

16. Meeting Energy Consumption Goals
Energy planning, CAPEx iniciates and the impact of sudden increased costs
and resulting decrease in consumption for a region
Plan
Energy Expense Budget
Energy Consumption Goals
Emission Goals
Capital Expenditures

17. The hierarchical and cross-dimensional impact of one change
=
Reduce
Energy
Consumption

18. 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.

19. 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.
Emissions Expense Consumption

20. About Eivia
• 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.

21. Eivia functions much like an enterprise spreadsheet. However, unlike a
spreadsheet we move data out of cells and off of desktops
of users.
Data
Warehouse

22. Next, we move formulas out of spreadsheet
cells and processing off of desktops as all
processing occurs on the server.
=IF(DATEDIF(Q$4,$B31,"m")<24,VLOOKUP(Q$4,'Admin%'!$EJ$5:$
EO$16,5),IF(MOD(DATEDIF(Q$4,$B31,"m"),12)=0,VLOOKUP($B31,
'Admin %'!$EJ$5:$EO$16,5),Q30))

23. What’s left?
A browser accessible lightweight app
URL
URL
URL
A powerful Decision Support Platform.

24. Architecture
Shared In-Memory
Collaboration High Performance Worksheet
Commit Release Save
Data Approve Recommend Scenarios
Warehouse
eAnalytic
eAnalytic

25. 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