登录查看更多内容

How can you effectively manage data in circular economy reporting?

由人工智能和领英社区提供技术支持

Circular economy reporting is a way of measuring and communicating the environmental and social impacts of your business activities, products, and services. It helps you identify opportunities to reduce waste, reuse resources, and regenerate natural capital. But how can you effectively manage the data that supports your circular economy reporting? Here are some tips to help you collect, analyze, and communicate your data in a meaningful and credible way.

此文章中的业界达人

由社区从 5 条内容中精选。了解更多

Hossein Hassani

World Top 0.14% Scientist | Unlocking the Power of #Data| #OfficialStatistics, #BigData, #AI, #ML, #DigitalTwins
Manuel Aguirre

Sustainability Leader | Helping organizations become more sustainable | Environmental, ESG, CSR
Dr.-Ing. Anna Bukowski

Driving sustainable change for Lifescience and chemical industry @ Porsche Consulting & certified career coach for…

1 Define your scope

Before you start collecting data, you need to define the scope of your circular economy reporting. What are the boundaries of your analysis? What are the goals and objectives of your reporting? What are the indicators and metrics that you want to measure and report on? How will you align your reporting with existing standards and frameworks, such as the Circular Economy Indicators, the Global Reporting Initiative, or the Task Force on Climate-related Financial Disclosures? By defining your scope, you can focus your data collection efforts and avoid irrelevant or redundant data.

添加您的观点

Manuel Aguirre

Sustainability Leader | Helping organizations become more sustainable | Environmental, ESG, CSR
(已编辑)
举报内容
Companies subject to the Corporate Sustainability Reporting Directive (CSRD) will have to report according to the European Sustainability Reporting Standards (ESRS) developed by EFRAG. If resource use and circular economy turn out to be material according to a double materiality assessment, they would need to follow ESRS E5 which includes metrics and targets for both resource inflows and outflows. It is worth mentioning that arguably the main think tank behind the circular economy (CE), the Ellen MacArthur Foundation, decided to step away from its CE measurement tool (Circulytics) and encouraged organizations to disclose their CE performance as outlined in this ESRS (in good alignment with Circulytics).

已翻译

赞
Nina Benoit

Director of Sustainability at Brightest I Keynote speaker I TEDx speaker I Climate Activist ??
举报内容
In my option, one key metric that can be used to measure circular economy is waste (the less the better). Another metric that can be used is the % of recycled materials used in products. If you offer repair services this is also a metric that could be measured in terms of nb of items repaired or total monetary value of repair services.

已翻译

赞
Shremohan Chauhaan

Building NUQI !
举报内容
Establish Data Collection Procedures: Identify Data Sources: Determine the sources of data relevant to circular economy reporting, such as internal operational data, external supplier data, and customer behavior data. 2. Organize and Store Data: Data Architecture: Design a data architecture that effectively stores and manages the collected data. This may involve using data warehouses, data lakes, or cloud-based data storage solutions. 3. Analyze and Interpret Data: Data Analysis Tools: Utilize data analysis tools and techniques to extract insights from the collected data. 3. Communicate Data-Driven Insights:Transform complex data into clear and understandable visualizations,

已翻译

赞

2 Choose your sources

Once you have defined your scope, you need to choose your data sources. Data sources can be internal or external, primary or secondary, qualitative or quantitative. Depending on your scope, you may need to collect data from different sources, such as your own operations, your suppliers, your customers, or your stakeholders. You may also need to use different methods, such as surveys, interviews, audits, or sensors. When choosing your data sources, you should consider the availability, reliability, accuracy, and timeliness of the data.

添加您的观点

3 Organize your data

After you have collected your data, you need to organize it in a way that facilitates analysis and reporting. You may need to clean, validate, transform, or aggregate your data to make it consistent and comparable. You may also need to store, manage, and secure your data using appropriate tools and platforms, such as databases, spreadsheets, or cloud services. When organizing your data, you should follow the principles of data quality, such as completeness, validity, accuracy, and relevance.

添加您的观点

4 Analyze your data

Once you have organized your data, you need to analyze it to generate insights and recommendations. You may need to use different techniques, such as descriptive, inferential, or predictive analytics, to answer different questions and test different hypotheses. You may also need to use different tools, such as charts, graphs, dashboards, or models, to visualize and communicate your data. When analyzing your data, you should follow the principles of data analysis, such as objectivity, transparency, and reproducibility.

添加您的观点

Hossein Hassani

World Top 0.14% Scientist | Unlocking the Power of #Data| #OfficialStatistics, #BigData, #AI, #ML, #DigitalTwins
举报内容
This phase is crucial for extracting meaningful insights and formulating actionable recommendations. We would like our data analysis to be robust, reliable, and valuable for decision-making. To tackle various questions and hypotheses, you may need to employ a range of analytical techniques: Descriptive Analytics: Use this to summarize and understand the current data. It helps in identifying trends and patterns that can shape initial insights. Inferential Analytics: This technique helps in making predictions or inferences about a larger population using a sample of data. It's vital for testing hypotheses about data relationships. Predictive Analytics: Employ this for forecasting future trends based on historical data.

已翻译

赞

5 Communicate your data

After you have analyzed your data, you need to communicate it to your intended audience in a clear and compelling way. You may need to use different formats, such as reports, presentations, or stories, to convey your message and engage your audience. You may also need to use different channels, such as websites, social media, or podcasts, to reach and influence your audience. When communicating your data, you should follow the principles of data storytelling, such as simplicity, relevance, and credibility.

添加您的观点

Dr.-Ing. Anna Bukowski

Driving sustainable change for Lifescience and chemical industry @ Porsche Consulting & certified career coach for women in tech ?? ? Let’s shape a better tomorrow! ????
举报内容
After analysing your data and getting deeper insights, communication to your relevant internal and external stakeholders is crucial. Communicate results transparently using diverse channels like reports, websites, social media that are the right ones for your audience. It's not "just" about communication of data tables but more about sharing achievements, challenges, and also future plans using tailored data storytelling. Make sure you are reliable and credible for your stakeholders.

已翻译

赞

6 Review and improve your data

Finally, you need to review and improve your data management process on a regular basis. You should monitor and evaluate the outcomes and impacts of your circular economy reporting, and collect feedback from your audience and stakeholders. You should also identify and address any gaps, errors, or challenges in your data collection, analysis, or communication. By reviewing and improving your data management process, you can ensure that your circular economy reporting is accurate, relevant, and impactful.

添加您的观点

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

添加您的观点

Sustainability

+ 关注

给文章评分

我们借助人工智能创建了此文章。您认为这篇文章怎么样？

很棒不太好

举报此文章

查看全部

How can you effectively manage data in circular economy reporting?

1

2

3

4

5

6

7

1 Define your scope

2 Choose your sources

3 Organize your data

4 Analyze your data

5 Communicate your data

6 Review and improve your data

7 Here’s what else to consider

Sustainability

给文章评分

感谢您的反馈

更多Sustainability相关文章

更多相关阅读内容

How can you effectively manage data in circular economy reporting?

1

2

3

4

5

6

7

1 Define your scope

2 Choose your sources

3 Organize your data

4 Analyze your data

5 Communicate your data

6 Review and improve your data

7 Here’s what else to consider

Sustainability

给文章评分

感谢您的反馈

查看其他技能