Sustainability: Collecting, Measuring, and Sharing Data
The requirements for collecting environmental and sustainability-related data are constantly increasing, for example, to incorporate more precise consumption data into carbon footprint calculations. Manual data entry is prone to errors and unsuitable for collecting extensive sustainability data and making it measurable and transparent. It is often becoming clear that, in the future, relevant sustainability data will only be manageable and producible with the support of appropriate digitalization.
The volume of data (mass data), consistency (data quality and completeness), frequency, and the number of data sources (number of process participants) all play a significant role in this context. The goal is to collect and measure sustainability data and make it transparent.
Data Consumption with Sustain:Data
In the future, many companies will collect and measure their sustainability data from various systems and applications using automated data integration. Using a suitable sustainability data platform has the advantage of making processes more efficient and secure through automation. The likely increasing complexity of handling sustainability-related data due to regulatory and societal requirements also supports such a solution.
The webcast “Sustainability Challenges in Energy Management and Logistics” focuses specifically on the topics of energy management at facilities and factors influencing the transportation and logistics sectors, and demonstrates how relevant sustainability data can be effectively collected and analyzed.
Video
Sustainability Data
Collect and integrate
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