Ensure data quality and availability in your ERP-centric approach
Our mission is to enhance SAP systems for robust data management and ESG compliance. We focus on enriching data for quality and availability to simplify future ESG reporting processes. We use a fit-gap analysis to assess readiness for reliable ESRS reporting. We also offer ready-to-use ESG data sets via interfaces to your preferred tools and conduct location risk assessments to validate external risks against business data.
Benefits
Prepare your data with a comprehensive fit-gap analysis for ESG initiatives
Quickly determine ESG readiness and identify areas for improvement with actionable recommendations tailored to your organization. Tackle key operational areas such as fleet management to seamlessly integrate sustainability insights into your business processes. Access clear, high-quality best practices through a user-friendly interface. Strengthen your decision-making with expert guidance.
Extract, transform and export your data for comprehensive ESG disclosure
Improve ESG reporting by using data from your ERP system to accurately simulate and refine ESRS datasets. Access multiple areas via an intuitive solution and add manual input as needed to improve the quality of your reporting. Improve results by integrating other data sources via a simplified model. Follow ESRS standards to create ready-to-use ESG datasets and improve your ESG disclosure process for a holistic view.
Identify and validate external risks based on your business data
Use logistics, inventory and sales data from your ERP system to turn complex information into powerful insights. Combine this with recognized risk indicators (official INFORM risk database) to gain a comprehensive overview of supply chain vulnerabilities. Use externally validated risk information to mitigate risk and increase the resilience of your supply chain.
Analyze and report goods movements efficiently
Analysis and evaluation of your actual goods movements can be carried out in a matter of hours, saving significant time in data collection. A clear and reliable database of Carbon Border Adjustment Mechanism-relevant transactions facilitates the generation of emissions reports and promotes transparency. Regular analysis of system data provides up-to-date data for reporting tools and effective corrections to your system data quality.
Determine EUDR impact and ensure control
Companies can identify exactly which materials are covered by the EUDR and where action is required. The solution provides full transparency across the entire material flow in the SAP system. This creates a reliable basis for informed decisions, secure compliance, and successful audits.
Features
Prepare and maintain your data
Get targeted results and recommendations on how to achieve high ESG data quality and availability in ERP source systems to permanently improve the reporting process.
Extract, project and export via required ESRS data points
Get a clear overview of your ESRS data points. Take the existing data basis, enrich it, and export the ESG data sets via an interface to the reporting tool of your choice.
Identifying location risks based on actual usage data
Identify and address external risks using your own data of procurement, inventory and sales. Gain a holistic, validated view of supply chain vulnerabilities for greater transparency, trust and resilience.
Plans and pricing
All plans include:
ESG Preparation
Fit-Gap Analysis
For one ERP system
All quantitative CSRD requirements
Qualitative evaluation and status or readiness indicators
Clear recommendations based on the usage data
One-timeUSD 20,000.00Fit-Gap Analysis
For one ERP system
All quantitative CSRD requirements
Qualitative evaluation and status or readiness indicators
Clear recommendations based on the usage data
Location Risk Assessment
The unique perspective of your own business data and monetary values projected against an official risk database.
Upstream, Own Operations, and Downstream
One-timeUSD 9,000.00The unique perspective of your own business data and monetary values projected against an official risk database.
Upstream, Own Operations, and Downstream
EUDR
Relevant materials
Material flow
Data gaps
One-timeUSD 8,000.00Relevant materials
Material flow
Data gaps
CBAM
CBAM-relevant goods movements
Relevant suppliers and origin information, as well as verification of master data quality
Complete overview of all goods movements in the system
Entry or import of emissions data
One-timeUSD 8,000.00CBAM-relevant goods movements
Relevant suppliers and origin information, as well as verification of master data quality
Complete overview of all goods movements in the system
Entry or import of emissions data
Technical Information
The following information is provided by the publisher and applies to the latest app version available on the SAP Store. SAP does not control these policies and procedures; the publisher is solely responsible for the accuracy of the provided information.
The following information is provided by the publisher and applies to the latest app version available on the SAP Store. SAP does not control these policies and procedures; the publisher is solely responsible for the accuracy of the provided information.
SAP's privacy policy is not applicable to the use of this app. Please refer to the privacy policy provided by this app's partner.
Resources
IBIS Website - Data requirements for Environmental, Social and Governance (ESG) indicators
IBIS LinkedIn - Report
BARC - ESG Data Preparation and Provisioning
Publisher
IBIS Prof. Thome AG
As a premier leader in SAP analyses with over 30 years of expertise, IBIS Prof. Thome AG specializes in transforming complex data into actionable insights through innovative solutions and visualizations. Their expert teams leverage deep technological and economic knowledge to assist diverse industries in optimizing processes and driving data-driven decisions. By challenging traditional constructs, IBIS Prof. Thome AG not only enhances efficiency but also paves the way for future innovations, positioning themselves as catalysts of progress and excellence in analytics.
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