Digital ESG Quick Data Analysis
Use digital technology to quantitatively visualize ESG, and speed up the resolution of management issues
Patent Pending（Patent No. 2019-123560）
“ESG” (Environmental, Social and Governance) factors are a key source in increasing future corporate value. Each factor of ESG is critical in business, and should be closely linked with corporate vision, management decisions, strategy and business plans. However, ESG initiatives do not always reflect this fact, with disclosure of qualitative ESG and KPIs that may have little to do with their corporate vision.
ABeam Consulting’ s “Digital ESG” service visualizes the state of ESG management on a quantitative basis, through utilization of various non-financial data. It accelerates resolution of management issues, providing relational analysis and evaluation of corporate vision, management decisions, strategy and business plans.
Ideal state of “digital ESG management”
A variety of ESG information resides in each step of the value chain, scattered internally within and external to a corporation. Digital ESG management allows for collection and utilization of such information to visualize the state of a corporation’s ESG management on a quantitative basis, facilitating the use of results in management decisions.
Putting Digital ESG Quick Data Analysis into practice
Financial and non-financial data (including ESG data) internal and external to a corporation is collected. Through the utilization of digital technology, visualization, correlation, and analysis of the accumulated data is conducted. Quantitatively grasping the current state of ESG management will lead to development of various new perceptions. Furthermore, extracting the cause-and-effect relations based on analysis results will lead to awareness of issues as well as development of countermeasures towards achieving a truly effective ESG management.
Visualization of data immediately upon collection will allow continued analysis via discussions, and for new observations obtained in a short period of time to be effectively utilized in management decisions or further analysis.
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