Reach Sustainability Goals Through CO2 Emissions Forecasting
The Dataiku Solution for Emissions Forecasting comes with a ready-to-use dashboard for electricity consumption and carbon emissions. It uses a CO2 converter plugin to compute emissions across all geographies coupled with machine learning to easily forecast both electricity consumption and emissions based on production plans.
Quickly Ingest Fragmented Data
Reach sustainability targets by pooling fragmented electricity consumption data into the structured Dataiku flow. Adapt the flow to your buildings, facilities, and operations, then get actionable insights to understand your current footprint and impact of production allocation decisions.
Convert Electricity Consumption Into CO2 Emissions
Get real-time carbon intensity metrics from a live connection with RTE (France) and ElectricityMap (globally), converting your electricity consumption data into CO2 emissions data.
Get Granular Emissions Data
Understand total energy consumption and carbon footprint with easy-to-use interactive dashboards. Display different levels of granularity: by meters, types of sites, countries, etc. to help uncover specific drivers of emissions and consumption.
Predict Future Consumption and Emissions
Easily forecast electricity consumption and CO2 emissions based on planned production with Dataiku time series and AutoML capabilities.
Reach Sustainability Goals
Study production allocation impact across regions and use AI capabilities to select the best scenarios to reach sustainability targets.
Answer Key Factory Emissions Questions
The Dataiku Solution for Emissions Forecasting helps answer a broad range of questions like:
- How can I measure progress against energy targets if I have fragmented energy data systems?
- How can I use ML to reduce emissions related to electricity consumption?
- How can I determine the best scenario to minimize electricity consumption and the associated CO2 footprint?
Convert Electricity Consumption Into CO2 Emissions
Analyze electricity consumption from all facilities, assess greenhouse gas emissions, and forecast future consumption and associated emissions. Avoid CO2 emissions by relying on renewable energy when possible, and reduce CO2 emissions by minimizing energy intensive processes.
The Total Economic Impact™️
Of Dataiku
A composite organization in the commissioned study conducted by Forrester Consulting on behalf of Dataiku saw the following benefits:
reduction in time spent on data analysis, extraction, and preparation.
reduction in time spent on model lifecycle activities (training, deployment, and monitoring).
return on investment
net present value over three years.
