No reliable data, no net-zero journey

Without reliable ESG data, there can be no net-zero journey. ❎

During their journey towards sustainability, companies often struggle with manual data accuracy and consistency checks. In one of my latest projects, I used a powerful Python library that can help streamline your ESG data evaluation pipeline: Great Expectations. 🚀

By setting up expectations/validation rules for your data, Great Expectations can automatically check your data for things like missing values, data types, and more. Plus, it integrates seamlessly with popular data tools like Pandas and SQL databases.

Even though this tool is not a one-size-fits-all solution, it may help you to say goodbye to manual data validation and hello to reliable and accurate data with the right ESG data pipeline. Take your ESG data to the next level and start your net-zero journey! What do you use to streamline your ESG data? 🌱💻

Feel free to reach out and check out my latest work.