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Practice Group: Data and Technology
Erin Casteel

About

Most organizations have low-no end-to-end visibility of all the systems where required data resides. Most have low-no end-to-end visibility of all the people with direct access to systems where required data resides. Most have low-no confidence in the data fidelity of their sustainability data. Most also accept the risks associated in manual gathering of disparate data across organizational silos.

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Questions and Objective Statements

Metrics

  • How do we propose creating an inventory of the systems where all required data resides?
    o Are we gathering metric data in the way required by regulations and standards?
    o Up to 50% of required metric data can be narrative i.e., ‘metric text’ in nature. Unlike quantitative data metric text i.e., words can’t be aggregated. Consequently, we have a challenge in seeking to understand metric texts being submitted across the entirely of our organization. What are we doing to:
  • Understand what’s being internally reported through metric texts across the organization?
  • Ensure we are not missing/blind to what’s being internally reported through metric texts across the organization?

To be completed

Controls

Can we drill down to source records for all ESG metrics?
Review and improve policies in one place,
Does our ESG System/Platform of Record facilitate testing of:

  • data collection processes and automations?
  • data clarification, cleansing and structuring including calculations?
  • data transformation into actionable decision useful information/outputs?

To be completed

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