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Most of the big companies are trying to thoroughly analyze and offset their carbon footprint: that’s a matter of sustainable development and reputation. They use complex tools for calculations and analyses of their environmental footprint. In contrast to them, many small and mid-sized companies in the best-case scenario just think about that, but do not know what to start with.
Let’s see how using Analytics designer capabilities can help these companies take the first step in analyzing their carbon footprint and to understand what they can do to make their businesses more environmentally friendly.
The developed app allows to analyze a company’s value chain from its carbon footprint standpoint and visualize an on-the-fly simulation of carbon emissions without the re-submitting and re-calculating of any data. All this happens in one interface without a need to switch between separate simulation and analysis storyboards.
The app has 4 most important indicators:
Forecasted “Emissions this year” in mt, which is based on actual data of this year, and historic data of previous years. “Offset this year” in mt – actual information.
“To pay later” – the forecasted remaining costs to offset carbon emissions and a "tree" or "carbon neutrality indicator", showing calculated values based on actual or simulated data.
The app also gives us an analysis of the sources of CO2 emissions, which includes 3 levels of details:
Using shortcuts, it is possible to switch between results for the current year and the last 3-5-10 years.
When we switch to the current year, the app enables simulation functionality. In that mode, we can select one or several categories of CO2 emission sources and perform simulation by increasing or decreasing emissions volume. After adjusting the volume, the app will show the percentage of increase or decrease, the resulting percentage of carbon neutrality, and recalculate the amount required to offset the remainder for being carbon-neutral.
In addition, the app contains an informational part that shows historical data of the World's carbon emissions. It aims to increasing awareness about the dynamics of carbon footprint:
This type of simulation allows finding a balance between reducing the carbon footprint of the specific categories, or the elements of the value chain and the amount that the company will pay to offset the remaining emissions.
Based on a client’s needs, the app can be integrated with other solutions and provide the detailed analysis of different sources of emissions already in the standard Analytics Cloud interface, including seasonality, prices, and other factors’ impacts.
The app described above and this blog post were created for the SAP Analytics Designer Hackathon: https://www.sap.com/idea-place/app-design-hackathon.html
Most of the big companies are trying to thoroughly analyze and offset their carbon footprint: that’s a matter of sustainable development and reputation. They use complex tools for calculations and analyses of their environmental footprint. In contrast to them, many small and mid-sized companies in the best-case scenario just think about that, but do not know what to start with.
Let’s see how using Analytics designer capabilities can help these companies take the first step in analyzing their carbon footprint and to understand what they can do to make their businesses more environmentally friendly.
App description
The developed app allows to analyze a company’s value chain from its carbon footprint standpoint and visualize an on-the-fly simulation of carbon emissions without the re-submitting and re-calculating of any data. All this happens in one interface without a need to switch between separate simulation and analysis storyboards.
The app has 4 most important indicators:
Forecasted “Emissions this year” in mt, which is based on actual data of this year, and historic data of previous years. “Offset this year” in mt – actual information.
“To pay later” – the forecasted remaining costs to offset carbon emissions and a "tree" or "carbon neutrality indicator", showing calculated values based on actual or simulated data.
The app also gives us an analysis of the sources of CO2 emissions, which includes 3 levels of details:
- By scope: (1) direct emissions from owned or controlled sources, (2) indirect emissions from the generation of purchased energy and (3) all other indirect emissions.
- By category: business travel, commuting, waste generation, etc.
- By source of emissions for a specific category: for air travel – short-, medium-, long-haul flights, for waste generated in operations – plastics, glass, paper, etc.
Using shortcuts, it is possible to switch between results for the current year and the last 3-5-10 years.
When we switch to the current year, the app enables simulation functionality. In that mode, we can select one or several categories of CO2 emission sources and perform simulation by increasing or decreasing emissions volume. After adjusting the volume, the app will show the percentage of increase or decrease, the resulting percentage of carbon neutrality, and recalculate the amount required to offset the remainder for being carbon-neutral.
In addition, the app contains an informational part that shows historical data of the World's carbon emissions. It aims to increasing awareness about the dynamics of carbon footprint:
Conclusion
This type of simulation allows finding a balance between reducing the carbon footprint of the specific categories, or the elements of the value chain and the amount that the company will pay to offset the remaining emissions.
Based on a client’s needs, the app can be integrated with other solutions and provide the detailed analysis of different sources of emissions already in the standard Analytics Cloud interface, including seasonality, prices, and other factors’ impacts.
The app described above and this blog post were created for the SAP Analytics Designer Hackathon: https://www.sap.com/idea-place/app-design-hackathon.html
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