A. Consumer & retail

B. Hospitality

C. Arts & culture

D. Energy-intensive industries

E. Discrete manufacturing

A. Complex auditing: Limited data lineage increases audit costs.

B. Higher costs: Increased total cost of ownership (TCO) due to the need to maintain separate systems for ESG and financial reporting & steering.

C. Disconnected processes: Separation of the data lake from business processes supports the independence of the sustainability officer.

D. Lower motivation: It has been shown that dedicated solutions are associated with increased employee engagement in contrast to spreadsheets.

E. Data quality issues: Poor data alignment with financial processes and master data.

A. By amplifying expertise through predictive insights and recommendations.

B. By accelerating processes to save time and reduce risks associated with ESG reporting.

C. By automating complex and time-consuming tasks.

D. By 'outsourcing' all sustainability activities to AI and allowing employees to concentrate on their core business.

E. By enabling businesses to create a story that most enhances their green story.

A. Designing products with environmental and social impacts in mind (life-centered design).

B. To use generative AI to design more sustainable products.

C. Managing plastic taxes and Extended Producer Responsibility regulations.

D. To ensure that during the transition from ethical product design to final production, no negative environmental problems occur.