Good morning everybody and welcome to this Net Zero by 2040 session that implement co-hosts together with Topso, looking so much forward to share a lot of insights with you. Today you'll meet the three people you see here on the slides. First of all, Annette Hansen from Topso, Global Environmental Lead. We had the pleasure to run the ESG project together with Annette and the Topso team. In many ways, Topso is a very interesting case in terms of the ambitions of Net Zero 2040. Most companies have an ambition of 2050. I also think Topso is very mature in the sense of what they already have done, so that's great to share. And then, not at least, Topso play a key role as a leader with technology in the power to X energy transition. So you'll get a chance to meet Annette a little bit later and deep dive into the ESG reporting at Topso. Then, next to me, you'll see Adam, my colleague. Adam is a senior consultant that works with sustainability and digitalization. So he will introduce some topics for you a little bit later. And myself, like Adam, also working in sustainability and digitalization, has done a number of ESG reports the last years. So this was about the team. Before we get moving, we would like you all to lean a little bit forward and go into the chat and write your comments. your name and your company, just so you all can see who is here and who is joining. Also during the session, feel free to put questions into the chat. We'll have a Q&A session at the end. What we'll take you through today is first element is ESG reporting and digitalization. I'll give you an introduction to that, our viewpoint from implement on that. Then we'll hand over to Annette from Topso to speak about the NetSeries. We'll be talking about the NetSeries. We'll be talking about the NetSeries vision and the project background and motivation. Then Annette will continue with the project achievements, highlights, deliverables, key learnings. And then the last topic for today is reporting and steering enabled by SAP. You don't have to be an SAP customer. It's more an example of reporting and steering technologies that can support your processes. We'll end up with a Q&A session where all the things from the chat will be highlighted. So this is what we'll take you through. Let's get started with the ESG reporting and digitalization. It's quite obvious for all of us that it's a scientific reality. We have to do something about the global warming, not for discussion anymore. The mid one about political commitment, you can always discuss whether political commitment is big enough or commitment enough, but we have at least the 2050 carbon neutrality ambition, setting, the global warming, and the global warming, and the global warming, and the global warming. And then the last element, deep transformation of the economy in companies. There's a lot of things to do to support this agenda. It's not a small transition. So it will impact a lot of decision processes and operational processes in organizations. There's a lot of places where this journey in companies and organizations can start. We just emphasize here, one idea and a good place to start could be a great data foundation for your ESG reporting. Not only for reporting, but also for managing and steering and improving. And you could see to the left on this overview here that a lot of executives, they increase investment in this area. And just continue down that road. We have a survey here from Bloomberg that indicates a number of key facts. 90% of executives expect to spend more on ESG data. Basically provide data as fact-based information on the ESG agenda. Number two on the list is basically the whole investment part. Investors claim that 71% of them has a barrier when they don't see consistent and good ESG data for doing investments. Next in line is the competition. Competitors, customers ask, to be strong on ESG data. To be strong on that agenda. We have a 44% claiming that in this survey. Not last but least, 25% is very confident in that they are ready to do the ESG reporting as required. Meaning 75% are not very confident. Whether they to some degree are confident, that's another story. But this is basically the situation. So this shows we have a situation where there's a push from regulations, but also a pull from investors, from customers, and a competitive situation that you as organizations need to deal with. Moving on. ESG, environmental, social, and governance. That's the three elements. And we just highlight here that this corporate sustainability reporting directive that most of you out there are familiar with. 40% of the disclosure requirements are related to metrics and targets. 40% of the disclosure requirements are related to metrics and targets. Meaning 60% are not, but the 40% here, they have a high element of data needed to fulfill the requirements. And when we look at ESG, we think or we believe at the bottom, as you see, the majority of the metrics, they are on the environmental part, some on the social, very few on the governance. It's just to give you a view here. It's just to give you a view here saying, when we look into the environmental element, the metrics and targets are a stronger element in that area. Meaning, when we look at the next slide, we also see that most companies start or plan to start with the environmental part. And not even the full environmental part, but the most data driven part, the greenhouse gas emission part. And this is where we talk direct, indirect, upstream, downstream, emission, we talk scope one, two, and three. And the elements here are so crucial to get started, we believe, and many organizations think. The good news is we have a lot of existing data that we can utilize for reporting and steering. So that's a good news. So that's a good news. But we need still to work with structuring the data. We need to enrich them where data is lacking. We have no existing emission factors. We need to figure out where we can get those from, etc. But just saying this is the focus area also for today, because that's what Annette will deep dive in in the topso case. Now it's over to you. Now it's over to you. Because we have a small poll for you. And you have to rate yourself on a one to four, where you think you fit you and your organization. Where are you on your journey towards building an ESD data foundation fit for reporting and steering? Please go into the poll. Thank you. Thank you for giving your insights in the poll. I have a brief look. I think most of you are on a two or three. So you are on the move. But there's also some that haven't initiated. So I think it would be fair to state that the average is probably a two, 2.5. So you in spreadsheets, you collect the data somehow manually. But you haven't really got a good, strong system support approach. So you have to take the process in place. Enough about the poll. Thank you for leaning into that small, extreme fast benchmark. Before I hand over to Annette, I have to mention that I think Top 3 is on a four in most areas, but on the way from three to four in the remaining areas. Just so you are aware, this is a very mature company in that sense. I'll hand over to Annette. Thank you. Thank you. Just a little bit about Top 3. We are a Danish company with representation globally. We have around 2,500 employees and we actually invest a small 9% in R&D. We specialize in carbon reduction technologies, providing chemistry and science-based solutions that will help you to get a lot of energy. And that will help you to get a lot of energy transition in the future. One example, as Breben also mentioned, is a power to X where renewable electricity is used to transform into green hydrogen, to green ammonia and methanol, and to sustainable fuels. As Breben also mentioned, we have a net zero target by 2040. We also have some sub targets that will help us to hopefully to reach the 2040 goal. One of them is that our goal is to be net zero in our scope one and two emissions by 2030. And also transition to 80% renewable electricity by 2030. And a third part is actually in operations. We have process emissions. And we are going to reduce that by 95% in 2030 as well. And then this is just the scope one and two emissions. And of course, we are also working with the whole upstream supply chain and downstream emissions, the whole scope three emissions. But that's for another time. We actually, after our 2022 reporting, we kind of got aware that we needed to improve the quality of our data to be more reliable and remove some of the mistakes that could be for errors. So, and also because there was already decided last year that we will undergo a limited assurance for the 2023 data. So we really needed, we knew that we needed to improve our data quality. So we decided to do this project for the year, actually using 2022 data as a kind of input, for this project. So the project was about streamline and improve reliability of environmental and scope one and two data. It was also be aware that the reporting, the new reporting directive is just around the corner and will hit us in a couple of years. And we want to develop a platform that actually could take those requirements into consideration. Another, besides from the environmental or the green, the scope one and two greenhouse gas emissions. We also wanted to include waste, water consumption and wastewater into the project. And lastly, we wanted the data to be audible in line with the financial data. About some of the motivations for the project is that going from, actually moving from the manual process to a more system based approach would actually also reduce the time that people are, we spend on entering data, calculating data and so on. So we wanted to really go into a more system based approach. Just a little bit about the platform that we used, we chose. We chose the SAP, the SAP, the SAP EHS platform. There's an environmental module that we already had because we using SAP for a lot of different things and we use SAP EHS for incident management. So it was actually a choice that we took to move forward with the SAP environmental module. And we actually used some time to assess whether that was the correct or the right platform or not. But at the end, we said, yes, yes, it is the platform. Yes, it is the platform. And we also wanted to have a more frequent reporting. Yeah, reporting more frequently, not on a yearly basis. But that because that's very difficult to steer the data, but we wanted to have it on a month data so we can actually use the data to steer towards our goals and plans. So those were some of the motivations. So we decided to go for a project. But first we did also mapping of all our data subjects to be more clear about what is our prioritized prioritization. So actually, we used some time and it came kind of a thing, my wall in my office that we put all the sticky notes, around you probably cannot read what it says, but it's all the data subjects within energy consumption, greenhouse gas emission, all our stakeholders, the environmental data, other emissions and the proportion of what does it actually calculate in our company and our goals at the top. And that became actually into that we also prioritized our initiatives. So we also wanted to see what we have to do in this project. So priority one, we started, we would start with that. That's a whole energy consumption area and both scope one and two and priority two is the rest of the scope one emissions. As I mentioned before, water, wastewater, waste generation was also part of the project. So priority four, we already have the incident management and the compliance scenarios and we deal with that. And priority five will be scope three. Just a little note on waste generation. Waste, we included that as a special topic in the project because it's a many dimensional area and very complex. So we didn't know how to handle waste. So we have to build up SAP, to build up SAP, design SAP for waste management because you have all the hazardous, non-hazardous, the waste type, paper, cardboard, etc. But also the waste treatment type need to be combined there. So at the end, we actually put up this project. We use also some time to find out, can we do this work? Are we do this alone or do we need somebody from outside? And we concluded actually that we needed somebody from outside that was not part of our daily work to actually help us be in the helicopter, do a sanity check of our data input or design in SAP. We didn't want a consultant to do our work. We needed their expertise to help us, letting us know whether this is a process was the right thing to do, because we wanted to do the right thing first time compared to best practice. So that's why we got implement and worked together with this project together with them. I think it was two months, very intensive. We met two times a week with a summer holiday. But after that, we had a very good feeling of all our data for scope one and two, one goes座ising, and one goes to the next point for the space. our business to right? ...or not just to have no further delay as partners. We wanted to go through as a system, or platform and this slide is interested in digital performance and monitoring and analysis. And we also wanted to make sure that this was actually saving some time for the people working with the data, both data entry but also at the end analyzing all the data because that takes really a long time if it's based on Excel spreadsheets. And then there will be some behavioral changes and at the end deliverables, a data hub where we have all our ESG, our environmental scope one and two data and according to best practice and then you can ask what is that. It's kind of, yeah, you feel it when you know it's right, it's there. So just a little bit about what we have been doing. Again, we have used SAP Environmental Module. We have designed SAP Environmental Module. It's kind of a shell. You need to design it yourself. But of course there's a certain approach. It's not a standard solution. So we designed it ourselves with all the data collection area, the compliance scenarios where we can calculate the CO2 emissions and other areas into the last piece where we actually go for, take the data into a business warehouse and further into reporting. This is where we are today. We have entered all the SAP is designed now to capturing all our data, all the data back to 2020, which is our baseline year is already in there going back to the original data from meter readings, invoices, mostly those. So we have so we can show it to the auditors. This is where we get our data. And it's also the January to September data that's in the system. And in the first picture, you actually see our data into our SAP analytics cloud system where we can actually go in and analyze all our data. Right now, the next step we will do is build up some dashboards. dashboards. So it's the business can actually go in and play around with the data and do a lot of analysis to make sure that we actually have projects that can support our goal of net zero. And we part of the project was actually also to look into whether the SAP sustainability control tower was something that we would use. So in the project implement actually took our waste data and made a pilot of the into the sustainability control tower. It's a very powerful tool and it can do a lot of things showing your data and different areas, measuring, analyzing up against your targets. However, we decided to go with our internal business warehouse and we have the internal resources and we have the internal resources and for us with those internal resources, it's very flexible to say, OK, can we just have this included in the in the in the in the report and can we have this in the in the dashboard? Because I know when when first we implement, we go live with this, a lot of people will come back to us and say, oh, can we can we see it like that and that and that as well? And then we can say, yes, we can do that very quickly. So also some of the output of the of the projects was actually that we got a handbook, a process handbook, where we can see everything that we did in the project is described down to a very low level. level and now we are actually capable of doing our swim lanes and process descriptions and accounting policies and reporting manuals, which is required when we are going for a limited assurance. So lastly, last slide from my side is actually some key learnings and recommendations. Have the right team. Make sure that all the stakeholders in the organization are heard or heard. that are present in the in the in the in the in the project, not necessarily participating in all the workshops, but input from from them, and also make sure if you want to do a use external resources, which we have benefited really a lot from. I don't think we will have come this far without external competences and make sure that you choose some consultants where you you feel that you're heard and and and and and you get the year and and you get the outcome that you actually expected to have that's important. And yeah, the whole I've talked a lot about that the the streamlining and and and and and reliability of data is important to that from the beginning, find out where does the data come from its meters? Is it? Is it? Is it invoices? Get that don't don't don't cut any corners here? Yeah, because it will eventually come back to you and use the kind of data hub to take all the data. SAP is still only a a data entry point. It still needs to come out of SAP and into something where you can see this is the the single version of truth. Yeah, again, quality is focus on the quality of the of the data. And also getting the finance in helped us also think about controls, how to make sure that this is actually the the right data. So where necessary input some controls. And the last one is that be prepared that if you're going to input all data into going from a manual Excel spreadsheet into a system, you will find there will be a difference compared to the manual approach. Thank you. And I will we will move on to Adam. Good morning out there. Thank you very much for handing over Anita. As you heard earlier, and by some of the experience that we have had from the project and from what Preben also presented, there are some unique challenges out there when it's when we talk about steering and reporting, we will be spending the next 10 to 15 minutes to try and deep dive into how we think you can enable those two things, as well as looking into some selected solutions from SAP. If we start diving down into reporting, we know that one of the major challenges out there is around data, both the quality and availability of data. And even when you even when you then actually have the data available, it's also about is it accurate? Or is it even complete for users? This that was also shown by Preben earlier, which says that one out of four companies, only one out of four feel very confident in meeting SD reporting requirements. So there are some again, some challenges out there when you want to enable a comprehensive and efficient reporting. When we talk about steering, we have some research studies backed up by the Harvard Business Review, where they can confirm that a sustainability journey, it is hard out there. And you need when you do a when you do a comprehensive ESG decision making and steering and get these entities up and running. The first step that you need to design is to have suitable ESG KPIs that you can navigate around. If we look at another factor back this up, we can see that out there is 38% of companies that do not have established efficient ESG decision making entities in the organization. Interesting numbers. And in the in the two coming slides, we will talk about how the how can you enable this and back it up with what we did for Top Sur. Moving forward. Again, as mentioned before, data plays a critical role in enabling comprehensive ESG steering and reporting. Here we are showing the three layers to be able to enable that. If we look at data sources, first and foremost, you can see down there that when we talk about data sources, we're doing a comprehensive ESG reporting, there are tons of data sources that need to be connected to be able to consolidate a proper report here. And these can include SAP applications, just like the ones that we have been looking into for Top Sur, but can of course also include non SAP applications and data sources. Some examples here that it's all the way from S4HANA to other ERP and relevant systems there. We will also need to some other external inputs. I saw that there was a question around this before. But yes, we also need and did need for the project other external sources, such as LCA data lifecycle assessment. So we need to be able to apply some emission factors if we want to calculate the specific greenhouse gas emissions. In that product, we use DEFRA as a source along with some other supplier specific sources to get as specific as concrete as possible. So we need to be able to apply some of the emissions. And I think in the scope three category one project that we've just initiated, we'll be looking a bit more towards Equinvent. Again, just the doubling that other external sources are again applicable and it's not only one source that can be enough when we have such a comprehensive landscape to look into for ES and the G. In the middle layer, you will notice that we have stated ESG data hub here. And this is our recommendation when you're working with so many different data sources. The ESG data hub, it might sound a bit fancy in the previous example for Topso. This was a PPW layer. But basically what we suggest is that you have some kind of data management layer in the middle where you can structure, properly manage and organize your data in a way that you can deploy it for the specific and needed purposes. And again, in this case, that would be fitting it up to a reporting and steering solution layer at the top. Moving forward, you saw a sneak peek into this one before, but this is actually the data model and the architecture behind how we wanted to enable from data collection to reporting and steering for Topso. We won't go through it all. It's a little bit a busy slide, but it's just to give you an idea of how comprehensive it can be. And in this case, it's only scope one. scope two and waste water and wastewater. From what you can see from the left side, we had different kind of data sources that were relevant here. It was all the way from electricity meters to water meters. Some of the data we had to find in invoices where we need to follow up with the finance colleagues and say, can you please provide us these relevant invoices? And the data would come from a lot of different places. And this would only just be more comprehensive when we talk about scope three as well. There was then designed a data collection process, which was fed into S4HANA environment, health and safety model, which was explained by by an edit before as well. So in this case, that would define our source system for most of the data as it was captured in there. We did also have other source systems that were available that were sorry, relevant in this case, and that would include we had some production relevant activities that we also wanted to include from a recycle and reuse. perspective. And then finally, of course, we wanted also to push in science based targets and another relevant ambition and targets to follow up upon so we could perform an improved steering at the end of this. You can see the next layer is around the ESG data hub. And here, of course, it's not super rocket science. It is the BW system, but it is a proper data management environment where we could make sure that the data is structured. in the right way that we wanted to be and that we could include some of the calculations that we also needed for our reporting requirements. Finally, you can see that we are looking at two scenarios here. As Annette mentioned, we went with the first scenario for now, at least, where we focus on existing systems and solutions within SAC to be able to perform the reporting that is needed. A second scenario we also looked into is we did a prototype for sustainability control tower with the focus on waste. And this could be potential future data where we look more at sustainability management part. We will have a bit look into that in a moment. Moving forward, these are the two solutions that were mentioned before that we will take a brief look at. SAP Analytics Cloud and SAP Sustainability Control Tower. SAP has launched multiple products to enable the SG agenda. However, these are the two relevant ones to highlight today for steering and reporting. Again, it's examples of sustainability reporting and management platform solutions. And of course, in another context, it could also be non-SAP solutions. A bit on SAP Analytics Cloud, which is also called SAC. It's SAP's first and primary analytics tool, which was launched in 2015. Some of the main features include, of course, analytics, very advanced analytics. You can also perform simulations, scenario analysis, and it also has some very strong planning capabilities. And again, for getting the right insights, for getting performing advanced analytics. This solution is very, very strong and can perform a fine foundation, I would say, for decision making. You can see some of the screenshots there at the bottom. And it, I think, already described the first one. But then, again, the second one, you can perform all kinds of different dashboards, which which are relevant to make sure that the decision makers get the right insights and overview to take the right decisions. Sustainability Control Tower. And here, please note that we differ between a reporting solution, which I think SAC is more within, and then Sustainability Control Tower, which I would classify more as an ESG management platform. Sustainability Control Tower is actually an application in SAC, but then in SAC, but then it was relaunched as its own platform in the late 2022, so a bit less than a year ago. And there are multiple reasons to why they did that. But some of the challenges that Sustainability Control Tower can help resolve is, again, it's around transparency. We talked about audit becoming a bigger theme, and it's around transparency into data and the processes behind enabling the report and other management options in there. You can see that there's actually a full workflow and a process for when you want to perform your monthly annual reporting activities, etc. There's also something around unclear reporting requirements and KPIs. Sustainability Control Tower has a lot of the stuff in there predefined, both from the data model, so what kind of data that is needed, to some of the apparent reporting requirements, also backed up by some regulations. And that multiple functionalities in there that can help people out there to report and steer properly on this. You can also set up your ambitions and also back it up with science-based targets to make sure that they are to be able to perform both your reporting and be able to do your follow-up down to a low level in that platform. I will move a bit forward and maybe give a bit of recommendations to where, when and where do we think that SAP Analytics Cloud is strong and where do we think that about Sustainability Control Tower. If you look at SAP Analytics Cloud, it's again, advanced analytics, it's a super strong tool when we want to have the right dashboards, be able to manipulate the insights, analytics, make sure that we get the exact view that we want to see. And, of course, it's also very good in scenario analysis with doing amendments and changes to inputs to reflect what another scenario could look like. Third, capability planning. Strong planning capabilities we mentioned before. And then finally, I would say it is good for providing inputs for your reports. As you do not even create your actual report in there, but you can get the needed dashboards and insights to be able to do that. If we look at Sustainability Control Tower and there, again, I would mention that we look at it more as a sustainability management platform rather than only pure reporting. You can also do analytics there. Again, I think SAP is maybe a bit stronger on that part. Also do some scenario analysis that is predefined where they look at if you focus on scope 3 category 1, there's some predefined factors that you can adjust on to see how that would impact your greenhouse gas emission. Some of the things that you can. Some of the things that makes it powerful also steering and their management platform is that you can, of course, set up your targets in there. You can follow up on them. You can see where you are on target and where you are off compared to the traction that you need. And it's the same thing with the when we look at the process governance part. You saw before there's a full workflow for that setup. Finally, it has some, again, the thing, the predefined part is is a very strong thing here. It helps you with predefined templates, predefined reports, which are also supported by regulatory frameworks such as GRI or there's also a part on EU taxonomy. And again, you can perform your actual report in there and publish it from there as well. And I think the data model and templates were already talked about. So these would be our recommendations on SG reporting and their steering solutions. We'll move on to the final part before we go to Q&A. So before we round off for Q&A, I want you to remember at least the following three key takeaways from today's webinar. Initially, Preben walked us through the SG landscape. And as mentioned, it's about more than just compliance. Compliance might have been the startup, but there are multiple other relevant factors out there that are taking also a lot of focus here. I think the second part, getting the right ESG data foundation is a great place to start. And Netta showcased this before. A critical part of our project was to ensure that a solid environmental data foundation was in place so we can enable proper steering and reporting afterwards. Third takeaway for today is that there's a difference between ESG reporting and ESG management. Reporting has been the focus so far to ensure compliance with the regulatory frameworks. for example, however, ESG management is becoming increasingly important for improved steering and targets follow up. I think these will be the words before we move on to our Q&A session. Okay. Thank you, Adam, for taking us through that and the net as well. Now we had an insight into Top3 and the sustainability journey. There's been a lot of questions in the chat along the way. I tried to see if I could capture them. Just so you're aware, if we don't get through all of them, we'll capture them and answer them afterwards. We'll also share the presentations and there's recorded video. There were some questions in the chat about that. So all good. Let's go into the questions that was added in the chat and you can still add things. I'll look at it along the way here while I give the questions to Netta and Adam. I think we'll start with focus on scope one and two because there's a lot of questions to scope three as well and your prioritizations and why you're doing it. So you did what you did what you did in what sequence and what sequence and edit. Let's start with some of the more specific ones. How frequent do you update the data and how do you work with the data? So data is updated on a monthly basis. So around the 10th of the coming month. So we have for all data, we can actually show the data for the environmental data in scope one and two. data. Although some of the data might be that we only capture on a yearly basis, but we actually then put it into the system anyhow and divide it into 12. So we have everything covered on a monthly basis. Great. So you moved from this yearly process with a spreadsheet into a frequent monthly steering process. Yes. Great. There's another question here from the first one was from Ufa. I think the next one is also from Ufa. How do you, do you have all the data available to calculate emissions for everything? And the follow up question is also, do you convert from spent data? So actually in there, for the scope one and two and environmental data, we never use the spent data. That's only in scope three, which I know we will come back to. So all the scope one and two is actually quantity based. And yes, in SAP, we have added the CO2 emission factor. That can be different from country to country or from area to area. But we have a whole list and links to where we find the emission factor. And that has been a huge work. But we know the auditors will ask whether that emission factor is the right one. Why didn't you use another one? And so forth. So that's why we use a lot of time on gathering all the emission factor, putting them into SAP and do the calculation as this compliance scenario and all the aggregations as well. Yes. I think you already answered the question from Mikkel because he was very keen on these third part data. How do you make sure that the emission factors can be validated and is in according to what the auditors to what the auditors will ask for? Yeah. And it is about to find the right emission factor, whether it's from DEFRA, it's from the authorities. Some of the emission factors we also need to calculate ourselves because it's chemicals and they consist of carbon, a percentage of carbon and the carbon are emitted during the production process. Some of the emission factors. Some of the emission factors we also need to be delivered. Some of the emission factors we deliver nicely in the final product to our customers. But we need to calculate that as well. And also, it's a calculation. If you're a chemist, you know how to calculate those things. It's all official data. Great. A question for you, Adam, just as a follow-up on this, because Sarah has asked, does SAP provide the emission factors? When you went through that, or how is that? It's a good question. SAP has collaborations with some emission factor databases, such as EcoInvent. But they do not provide the exact emission factors. We need to look for specific research studies and people who have really been nerding down on the LCA values of specific materials and other relevant categories. We need to look for specific research studies. We need to look for specific research studies. We need to get them from, you mentioned DEFRA that you used in 2022. You'll move more to EcoInvent, as I understand it. All good. We have a question from Benjamin here. He asks, are all data registered in SAP ETSS? Do you merge it with other data sources? If we still keep to scope one and two. Yeah. Yeah. We register. Was that the question? Yes. Yeah. All data in SAP. However, again, back to we have some chemical processing. So when we produce our products that will emit some CO2, that we don't put into SAP to take it out again. So, but it is part of SAP analytics cloud. So, and our dashboards and so on. So, we have a BI report on that. So, you can actually combine. But the most important thing is that it's included in your output, your reporting output. And we did that. So, be careful not to just put everything into SAP. And because if it's already available in other, the procurement SAP solution is for HANA. Then it stays there and then you can work with it from there. Yes. Yeah. Great. Another thing that is a combination between you, Adam, and Danette. But there's a question from Dieter and also from Mikkel about how do you work with the data from the media? Meters. The big slide. The big slide you had electricity meters. And perhaps you could start, Annette. What was your, where are you on that? Is it manually, automatically, electronically? I think was the question. Yeah. Just some words on that. Yeah. So, we take where possible, where we have the meters. We take it from, we download it from the supplier's webpage for electricity, for example, from EnergyNet. We take it from all the data from there. And we convert the format into an SAP format and put it directly into SAP. So, the only thing we need to do there is actually to download the data. We will, on electricity, we actually have the possibility it's all inputted in the original data that will be hourly-based data. We will actually put that into SAP as well. So, we have all the, for electricity, we have, in Denmark at least, the hourly, data. But we will aggregate it into monthly data. So, that's, everything is kind of, beside from the downloading from the webpage, everything is converted directly into SAP. Yes. And you need that level of detail because you have this ambition about 100% renewable energy. So, we need to know specifically the energy sources you utilize in top cells. Yes. And then you say the electricity meters, you have them out in many different places. Just elaborate a little bit because we saw it on the slide you showed also, Adam. Please elaborate a little bit on the whole collection or how could that look like or how does it look like right now? I think, and it actually answered it pretty good to put a bit more details to it. Right now, at least, we are getting the inputs from the supplier or at least we are getting them as in Excel format. We need to reformat that and then upload it into SAP Environment Health and Safety Module. That is a bit of manual exercise at the moment. There might be some ambition in the future to try and get some real-time data from these meters directly into the environment module in SAP CHS. Yes. Yes. Yes. Yeah. That's like a planned ambition but right now, you have people looking at the meters, putting it into SAP EHS in Texas at your factory at a certain granularity level so you can follow up on, on where the electricity are utilized in the factory. Yeah. Sounds good. I think let's take the big topic that there's a lot of questions around. I think let's start. Christophe, Jacob, Anders, they all asked your priorities, Annette. Scope 1, 2, and 3. Explain where the bigger emissions spend in top 3. We can start there. Yeah. Yeah. It's actually not the scope 1 and 2 that has the biggest impact or the most highest greenhouse gas emissions. It's actually our upstream supply chain. You can see it from one of the first slides. It's around 70% of our greenhouse gas emissions that comes from upstream supply chain. And I think it's 65% from actually scope 3, category 1, purchased goods and services. Yes. Yes. Yes. That's the real facts. Yeah. Anyhow. Anyhow. Anyhow. So the priorities. Yeah. Anyhow. One and two. Anyhow. We chose to start with our own operations to have that in order. And also looking at the mirror. So I think it's a good question. And I think it's a good question. And it's a valid question to look at your impacts and see where do you have the most impacts and maybe start there. At that time, we actually had a kind of scope 1 and 2 and scope 3 reporting divided into two different departments. So because I was running the project. So because I was running the project, it makes sense to start with scope 1 and 2. But looking in the mirror, we also had a benefit of doing that. Because once we have the waste data, we can actually in SAP add a waste treatment CO2 emission factor. And we have actually scope 3, category 5 served for us. Same for category 3. Once we have scope 1 and 2, we can do the same for a category 5. And we have a lot of energy consumption. I don't know. We have a lot of energy consumption. We have a lot of energy consumption. We have a lot of energy consumption. We can add the upstream emission factors. The well to tank in different terms emission factors into SAP as well using the scope 1 and 2 data. And then we have served, we have the scope category 3 emissions. And the same for a category, I don't know, the number 10, maybe. The end use of our products. We get that from our chemical processing scope 1 calculations because we have some products that we send to or we sell to our customers with carbon that is emitted when they use the products. We have that as well. So looking back, we actually maybe did a good choice. Not deliberately, but it turned out to be a good choice. That it will help you. Yet also learning and the experience that we got with that exercise or that project was really good for the next one. Excellent. We'll come a little bit back to the, because there's a number of questions to scope 3. I just have one here that Julia just came up with. What was the most challenging aspect of setting up the ESG database, DataHub? What's been the challenge along the way? If you should say some elements. Firstly, the challenge was to actually know that it was the right platform. We used a lot of time on that going back and forth. Was it the sustainability controls, the carbon footprint? Nobody was on the environmental module. Nobody was actually being very clear that this is, this is the platform you will use. So we were kind of a little bit, I mean, frustrated. So that was a challenge. But then suddenly it was very clear for us. I don't know where it came from. And I think you said it as well. No. Use the environmental module, which was already available for us, part of the EHS module, and use that as a data entry. But don't add, data that is already kept alive in other SAP systems. For example, procurement data. You have them. We have them already. Don't put them into the SAP. Take them where they are. Yeah. And of course, as I also mentioned in the presentation, the waste data, and you were part of that. So you know how we struggled with putting that four-dimensional creature into a two-dimensional. system. Yes. So, yeah. Okay. Good answer. And it ended with the boring thing because you utilize tools you already have SAP BW and SAP and you other clients out there, you will have the same options. Either you use Power BI or whatever BI tool you have. That was where you ended. And that brings me to another question for you, Adam, because Lisa Marie asked the question here. It's more related to advanced scenarios. It's related to if you have changes in your data set. If you buy a company, you sell a company. Your view on that, looking at the tool side to this. I think that depends on the question. If we talk about buying or selling entities of the organization, I think, of course, it's going to depend on integration at the end of the day. So if they are using an SAP or an SAP ERP platforms, it's a little bit easier. But if we're talking about different kind of ERPs talking together, that is possible. It's just a question of integration. And it's the same with the, are we talking about SAP ERP with another reporting tool that could be Power BI. It's certainly possible. It's just a matter of integrations. Yes. And more advanced scenarios. I think that's what Lisa Marie is. If after you have one thing is you have a steady business, but if you grow 20% because you buy a company, you have more advanced scenarios you need to look into. So then it gets perhaps a little bit more complicated what you need to do. It's a little bit less reporting, but also more scenario-based. Yes. What you need to do is, of course, to identify the specific factors that would impact that area of it. And then you can start tweaking it by some of the solution that we showed. Of course, there are also other tools out there that can help with that. Yes. I think the last topic, where are you? Christoph, Jakob, Anders, a number of others. What's next? Because where are you on your scope 3 journey, Annette? Yeah. Elaborate on that. Yeah. So we have been all the time as well reporting on scope 3, the categories that are applicable for us and where we have activities in. And we have used a spent page approach. And now we decided to go for a more where we can for a quantity-based approach. And we actually just started one week ago. We started up a new project with category 1, the biggest one for us, because it's actually 65% of our greenhouse gas emissions in that category. The procured purchase goods and services, where we want to move from a spent-based approach to a quantity-based approach. And the project is also this time together with you as the experts. But this one will be a little bit different, but this one will be a little bit different, because we're not going to use the, do any, probably any data into the SAP EHS system, but use what we have, because we already have is for HANA procurement data and so on. But this is a big project. There's a lot of data, a lot of decision-making. So for the next eight weeks, we will work on this project. And now also new stakeholders in this project. Procurement, of course, they are the experts. And we also have BI experts again. And also material master data experts to explain where do we get the data from? How if we want to see that and then. And then we have also the challenge with which emission factors and how do we capture, where do we store our emission factors? And that could be, that's a decision, key decision we need to take at some point. Where will we store the emission factors and where do they come from? And that's also where we will have our LCA people to feed in. Yes. And there's a lot of things with strategic procurement about how can your suppliers support your Net Zero 2040. Yes. That would be the next step is actually to go from quantity-based to supplier-based data. Yes. But that's a, that's a huge step. And that answers a question from Ufa and Thomas. But thanks a lot for, for chipping in here, Annette. And I want to say thank you for everybody joining this session out there. As we promised, we share all the material soon. Hope you have a great time this hour. All good out there. Have a great day. Thank you. Bye.