Data-driven ESG Solutions for Efficient Sustainability Reporting.
With personalized support from our experienced ESG and IT experts, along with BIG.Cube’s agile project methodology, we seamlessly integrate our customizable IT solutions into your existing data systems. Data is our expertise – that’s why we ensure your ESG reporting requirements are reliably met.
Latest Updates
Stay up to date: Discover our latest developments and insights on Sustainability Analytics.
Our Service Spectrum
Our Sustainability Analytics team combines industry and IT expertise, bridging both worlds. We guide you through all project phases – from conceptual guidance to technical design, all the way to successful implementation.
Business Concept:
We support you from the initial orientation to the detailed specification of your ESG reports and dashboards. This includes conducting a (double) materiality analysis, identifying relevant ESG data, and developing efficient data collection processes. In this way, we ensure that your ESG reporting is robust and sustainably structured.
Business Analysis:
Based on the business concept, we deepen the analysis and ensure that the requirements are precisely prepared for technical implementation. Through our structured approach, we avoid misunderstandings and ensure a smooth project flow – for efficient and goal-oriented execution.
Solution Design:
An initial technical analysis of the requirements forms the basis for the solution design. Our goal: an expandable, flexible, and comprehensive ESG reporting and controlling system, perfectly tailored to your needs, system landscape, and processes.
Technical Conception:
In creating a detailed technical concept, we combine proven best practice architectural approaches with our experience in the Sustainability Analytics field. This results in the added value of a flexible and sustainable ESG solution for you.
Implementation:
With our expertise in SAP Analytics, SAP HANA, SAP BTP, and SAP Datasphere, we are a strong partner in implementing your ESG reporting – from data integration to the ESG KPI dashboard. We also have extensive experience with other ESG solutions, such as the SAP Sustainability Control Tower, and support you particularly with data integration and the initial setup.
Data Quality:
Together, we achieve more than just transparency over your ESG data. With our software Q-THOR, you can identify potential discrepancies in the data early – even before the actual reporting process begins. This ensures the highest data quality right at the source, saving valuable time and costs in the reporting process.
Challenges in ESG Reporting: Data Quality and Consolidation
The European regulations on sustainability reporting – such as the EU Taxonomy, CSRD, SFDR, and EUDR – pose significant challenges for companies. Our experience from numerous customer projects shows that the availability and quality of the data to be collected and reported often introduce significant complexity. This requires a targeted, integrable, and scalable IT approach.
The Sustainability Analytics team relies on proven best-practice approaches in analyzing individual requirements, as well as in process and data modeling, to deliver efficient and auditable ESG reports.
ESG Reporting with the Highest Data Quality
Optimize your data quality and reliably meet ESG requirements – with our tailored solutions and experts by your side.
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Sustainability Analytics Tools
The quality and integration of ESG data are crucial for reliable sustainability reporting. Our Sustainability Analytics tools help companies efficiently manage ESG data, minimize errors, and meet regulatory requirements. Whether through automated data quality management with Q-THOR or a central platform like the SAP Sustainability Control Tower – we offer tailored solutions for precise and efficient ESG reporting.
Q-THOR: ESG Data Quality Management
With Q-THOR, you can flexibly and automatically manage your ESG DQM to minimize risks and significantly improve the quality of your ESG data.
A practical example shows: Purchased or delivered ESG data for reporting contained nearly 1,000,000 incorrect data points. With our automated quality check, we were able to identify these in seconds, replacing time-consuming manual checks.
Image source: © 2025 BIG.Cube GmbH. All rights reserved.
SAP Sustainability Control Tower
As a leading SAP consulting firm, BIG.Cube offers software solutions based on the latest SAP technologies. The Sustainability Control Tower (SCT) is the central SAP platform for comprehensive sustainability management. It provides predefined data models for key ESG frameworks such as the EU Taxonomy and CSRD to automate the reporting process. Through centralized data integration and real-time insights into ESG KPIs, the SCT enables efficient reporting.
Image source: © 2024 SAP SE or an affiliated company of SAP. All rights reserved.
Latest Updates
ESG and Sustainable Finance will continue to evolve in 2025. At the EU level, regulations such as the CSRD and the Taxonomy will be re-examined as part of the Omnibus Regulation. In Germany, the CSRD was expected to be transposed into national law by 2024, but the implementation law is still pending. Its adoption largely depends on the future federal government.
In this uncertain political landscape, companies need a clear roadmap and flexible solutions to establish auditable ESG processes. This enables them to make informed strategic decisions and unlock new market opportunities.
Image source: © 2025 BIG.Cube GmbH. All rights reserved.
BIG.Cube featured on Klassik Radio: ESG Special Week
As part of the ESG Special Week on Klassik Radio, the focus was on ESG reporting and sustainable data strategies. Our experts provided a brief overview of how BIG.Cube supports companies in the ESG area with data-driven solutions.
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More InformationThe Path to your Automated ESG Reporting
No matter how far along you are on your ESG reporting journey: We are happy to support you and tailor our services to your requirements and needs.
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Sustainability Analytics: Reporting, Planung & Steuerung für den ESG-Bereich
Durch regulatorische Rahmenbedingungen wie CSRD und EU-Taxonomie führt für immer mehr Unternehmen kein Weg am ESG-Reporting (Environmental, Social & Governance) vorbei.
Insbesondere im Finanzbereich kommen hier noch weitere Regulatorien und Vorgaben hinzu, wie z. B. die Offenlegungsverordnung (SFDR), das European ESG Template oder auch im Rahmen von MiFID II.
Driven by Regulatory Requirements or a Self-Developed Initiative
Many companies have set themselves important goals on their own initiative and want to achieve their own climate neutrality (“Net Zero”) by 2050, for example. Andere Unternehmen werden durch EU-regulatorische Vorgaben wie beispielsweise die Taxonomie-Verordnung, die Offenlegungs-Verordnung (SFDR), die Richtlinie zur Unternehmens-Nachhaltigkeitsberichterstattung (Corporate Sustainability Reporting Directive, CSRD) oder auch durch deren Umsetzung über IDD oder MiFID II zum Handeln gezwungen.
Wir kennen sowohl den Weg zu den Zielen, die sich aus Eigeninitiative ergeben, als auch die Umsetzung der EU ESG-Vorgaben mit SAP Analytics. Deshalb sind wir mit unserer Expertise in SAP Analytics (SAP BW/4HANA, SAP HANA, SAP Analytics Cloud sowie SAP BusinessObjects) ein wichtiger Partner für unsere Kunden und setzen gemeinsam bereits diverse Projekte der Nachhaltigkeit und Zukunftsfähigkeit (sustainablility) um.
Environmental
Evaluation of investments based on ecological aspects:
- Environmental protection
- Reduction of greenhouse gas emissions
- Environmentally friendly production
- Investment in renewable energies
- Efficient use of energy and raw materials
Social
Social
(Sozial)
Evaluation of investments based on social aspects:
- Compliance with occupational safety & labour laws
- Health protection
- Diversity, equal opportunities and social engagement
- Product liability & product responsibility
Governance
Governance
(Kontrolle)
Evaluation of investments based on corporate governance:
- Management and control processes
- Transparent measures to prevent corruption & bribery
- Anchoring sustainability management at board and supervisory board level
- Linking executive board remuneration to the achievement of sustainability goals
- Dealing with whistleblowing
Der Bedarf an nachhaltigen ESG-Reporting und -Steuerungslösungen steigt
Die EU sowie Verbraucher senden also ein klares Zeichen: Offenlegungen im Nachhaltigkeitsbereich sind gekommen, um zu bleiben. Das bedeutet auch einen Bedarf an IT-Lösungen, welche:
- die Berichterstattung ausreichend und zielführend unterstützen,
- sich optimal in die bisherige System- und Reportinglandschaft eingliedern und
- mittelfristig nicht nur eine retrospektive Betrachtung ermöglichen, sondern auch Steuerungsmöglichkeiten bieten.
Use Case: Financial Services
A Sustainable Approach
One of the most complex examples of ESG reporting is found in the financial services industry due to its extensive scope.
Experience has shown that it is beneficial to first consolidate the various source data in one place. Given the required auditability, we recommend using a technology with high traceability as well as implementing data quality assurance measures.
The next step involves matching the data to the respective asset or issuer, followed by the harmonization and standardization of the data into a central ESG layer. These processed, high-quality data—along with the already calculated KPIs—should then be made available across the entire organization for various applications as a single point of truth.
In bisherigen & aktuellen Projekten in SAP Systemen geht es hier um Anforderungen zu:
- Regulation (EU) 2020/852 Taxonomy Regulation
- Richtlinie (EU) 2022/2464 hinsichtlich der Nachhaltigkeitsberichterstattung von Unternehmen
- Regulation (EU) 2019/2088 Disclosure Regulation and the resulting EET, e.g.
- Directive 2014/65/EU on Markets in Financial Instruments (MiFID II)
- Interne Konzerninitiativen oder auch freiwillige Berichtsinitiativen wie AOA, SASB usw.
Objectives of ESG Reporting with SAP Analytics
Die Ziele der ESG KPI-Berechnungen sind sehr vielfältig: Es handelt sich hier um Zulieferungen via bestehender Schnittstellen zum Konzernreporting, um standardisierte Reports oder auch um Self Service ESG Dashboards. Ebenso werden Datenprodukte im “Data as a Service” Gedanken an weitere Folgesysteme, z. B. für das Nachhaltigkeitscontrolling und die aktive ESG-Steuerung, bereitgestellt.