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Collection and analysis of sustainability data (Pilot)

Type of course:

Digital learning, Lesson

Language:

EN

Duration:

0 hours, 15 minutes

Proficiency:

Advanced

Target:

Professionals, Manager, Workers

Sustainability data is essential for tracking and improving ESG performance. This lesson explores data categories, departmental roles, KPIs, and challenges such as inconsistent standards and data gaps. By adopting standardized frameworks and advanced technologies, organizations can enhance their sustainability efforts and meet both internal and regulatory goals.

About The Author

INTECHCENTRAS, established by the Engineering and Technology Industries Association of Lithuania (LINPRA), is a Smart Manufacturing competence center and one of the certified RecyClass entities in Lithuania. It coordinates the Advanced Manufacturing Digital Innovation Hub and was a key initiator of EDIH4LT.

Justė Pranskevičiūtė, a GRI Certified Sustainability Professional, and Marija Aliaševičienė, an experienced project manager with over 15 years of consulting experience, have collaborated on creating of this sustainability lesson, combining their extensive expertise in strategy development and organizational transformation to promote sustainability in manufacturing companies.


Learning outcomes

  1. By the end of this lesson, students will be able to grasp the structure and importance of environmental, social, and governance (ESG) data for sustainability reporting and strategic alignment.
  2. By the end of this lesson, students will be able to apply key performance indicators (KPIs) to measure and evaluate sustainability efforts in their organizations effectively.
  3. By the end of this lesson, students will be able to analyze the roles and responsibilities of various departments in collecting sustainability data and identify challenges in data collection processes.

Topics

Sustainable Manufacturing

Content created in 2024
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