Download as PDF, PPTX
More Related Content
Carbon Management Market EiVia Overview
- 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 Dashboardshave 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 – meetingthe 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 ValueAdd 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 inthe 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 ConsumptionGoals 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 andcross-dimensional impact of one change = Reduce Energy Consumption
- 18. Global monitoring ofconsumption 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 alsomodels 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 • Deeproots 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 muchlike an enterprise spreadsheet. However, unlike a spreadsheet we move data out of cells and off of desktops of users. Data Warehouse
- 22. Next, we moveformulas 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