SAP Sustainability Control Tower: Streamlining Sustainability Data Collection with Reporting Scope and Data Collection
PorAinvest
jueves, 4 de septiembre de 2025, 5:24 am ET1 min de lectura
SAP--
The Reporting Scope and Data Collection feature enables organizations to define which sustainability metrics are relevant for reporting, configure how data should be collected, and assign responsibilities for data entry and approval. It also supports structured, form-based workflows for data entry, review, and approval, ensuring that data is captured, approved, and stored in a traceable manner. This approach streamlines the sustainability data collection process, enhances data quality, and supports compliance with evolving regulatory standards.
The feature currently supports quantitative metrics and measures for sustainability reporting. SAP plans to include qualitative metrics and basic custom metrics, as well as additional data entry methods, plausibility checks, multi-step approvals, and email notifications in future iterations, based on customer feedback.
For further support and detailed guidance, users can refer to the SAP Help Portal's Data Collection Workflow for Quantitative Metrics [1].
References:
[1] https://community.sap.com/t5/sustainability-blogs/introducing-reporting-scope-and-data-collection-in-sap-sustainability/ba-p/14203070
SAP has introduced the Reporting Scope and Data Collection feature in Sustainability Control Tower (SCT) to address challenges with manual sustainability data collection. The feature enables organizations to define relevant metrics, configure data collection, guide users through a structured workflow, track and manage data collection runs, and ensure data capture, approval, and storage in a traceable manner.
SAP has introduced a significant enhancement to its Sustainability Control Tower (SCT) with the Reporting Scope and Data Collection feature. This new feature addresses the challenges faced by organizations when manually collecting sustainability data, aiming to improve data quality, traceability, and compliance with regulatory requirements. The feature provides an integrated, workflow-based solution that guides users through the data collection process, ensuring relevant Key Performance Indicators (KPIs) are captured and facilitating collaboration between central and local teams.The Reporting Scope and Data Collection feature enables organizations to define which sustainability metrics are relevant for reporting, configure how data should be collected, and assign responsibilities for data entry and approval. It also supports structured, form-based workflows for data entry, review, and approval, ensuring that data is captured, approved, and stored in a traceable manner. This approach streamlines the sustainability data collection process, enhances data quality, and supports compliance with evolving regulatory standards.
The feature currently supports quantitative metrics and measures for sustainability reporting. SAP plans to include qualitative metrics and basic custom metrics, as well as additional data entry methods, plausibility checks, multi-step approvals, and email notifications in future iterations, based on customer feedback.
For further support and detailed guidance, users can refer to the SAP Help Portal's Data Collection Workflow for Quantitative Metrics [1].
References:
[1] https://community.sap.com/t5/sustainability-blogs/introducing-reporting-scope-and-data-collection-in-sap-sustainability/ba-p/14203070

Divulgación editorial y transparencia de la IA: Ainvest News utiliza tecnología avanzada de Modelos de Lenguaje Largo (LLM) para sintetizar y analizar datos de mercado en tiempo real. Para garantizar los más altos estándares de integridad, cada artículo se somete a un riguroso proceso de verificación con participación humana.
Mientras la IA asiste en el procesamiento de datos y la redacción inicial, un miembro editorial profesional de Ainvest revisa, verifica y aprueba de forma independiente todo el contenido para garantizar su precisión y cumplimiento con los estándares editoriales de Ainvest Fintech Inc. Esta supervisión humana está diseñada para mitigar las alucinaciones de la IA y garantizar el contexto financiero.
Advertencia sobre inversiones: Este contenido se proporciona únicamente con fines informativos y no constituye asesoramiento profesional de inversión, legal o financiero. Los mercados conllevan riesgos inherentes. Se recomienda a los usuarios que realicen una investigación independiente o consulten a un asesor financiero certificado antes de tomar cualquier decisión. Ainvest Fintech Inc. se exime de toda responsabilidad por las acciones tomadas con base en esta información. ¿Encontró un error? Reportar un problema

Comentarios
Aún no hay comentarios