Go to frontpage

OnboardingWork session II

Purpose of the Session

Following the foundational alignment in Work Session 1, Work Session 2 focuses on establishing the operational boundaries and data recording architecture required for reliable sustainability and operational data management.

This session ensures that the platform setup reflects the true scope of operations, including legal entities, emission sources, and value chain participants and that data flows are clearly defined, documented, and assignable.

Key Objectives

Define boundaries for Scope 1, 2, and 3 emissions:

  • Legal and reporting entities
  • Facility and asset types
  • Organizational and operational control (per GHG Protocol)

Identify key data sources:

  • Internal systems (e.g., ERP, utility providers)
  • Ecosystem data supplier data
  • Ecosystem suppliers data
  • Manual vs. automated data recording

Draft the data flow structure:

  • What data is collected, from where, by whom, and how often
  • Assignments of responsibility within the customer team

Team Focus

  • Sustainability Leader: Confirms that boundaries match sustainability goals and reporting obligations.
  • CFO: Validates that financial and operational boundaries are aligned for reporting purposes. Most often aligned to the Financial Statements.
  • Procurement Officer: Begins mapping supplier groups for Scope 3 integration and due diligence analytics for those in the value chain that are already in the value chain.
  • Data Leader: Takes the lead on data formats, quality control, and recording methods, including the use of activity-based. Spend-based methods vs. pre-calculated data. The alignment of data to Klappir and quality control of data.

Klappir’s Role

Klappir’s Sustainability Platform Specialist guides the team through:

  • The Inventory Management Plan (IMP) structure and how customer creates the IMP
  • Data tagging logic for assets and suppliers
  • Previews of the Data Importing tools and Integration Pathways
  • Recommended best practices for managing supplier data pipelines and manual data uploads