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1.0 Overview



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titleBusiness Context and Application Overview

The Corporate Sustainability Reporting Directive (CSRD) is an EU regulation requiring companies to disclose detailed information about their environmental, social, and governance (ESG) impacts. It expands reporting obligations to include all large companies and listed SMEs, as well as non-EU companies with significant EU revenues.

The purpose is to provide stakeholders (investors, customers, regulators) with clear, reliable, and comparable sustainability data and to integrate sustainability into business decision-making.

Under the CSRD, companies must report in line with the European Sustainability Reporting Standards (ESRS). These standards aim to improve transparency and consistency in sustainability reporting, supporting the EU's climate and social goals.


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titleApplication User Profile

Describe the The key User profiles that exist for the application:

  • Data Producer
  • Data Approver

Assignment for each KPI's Data Producer and Data Approver is found in DTT Gap Assessment Sheet

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Target Users:

Different departments such as:

  • Human Resources
  • Finance
  • Sustainability

VERSION

DATE

MODIFIED BY 

DESCRIPTION

0.01

dd.mm.yyyy

Fagr Nasser

Initial draft









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titleApplication Type

 

Data Product Type 
  •  Dashboard
  •  Report
  •  Advanced analytics
  •  AI 
  •  Others <specify which one>
Technologies
  •  BW
  •  Power BI
  •  Jira
  •  Qliksense
  •  Talend
  •  GCP (BigQuery)
  •  Dataiku
  •  Others <specify which one>

Data Sources 

  •  SAP PF1 (Production environment)
  •  SAP WP1
  •  SAP PI1
  •  Data Ingestion Template 
    (Google Sheets)
     
  •  BW (versions)
  •  iCare CRM 
  •  CORE CRM Data Ingestion Template 
(Google Sheets) 



2.0 Business Process

Capture the business process that the application supports . This can be describe through a process diagram or a business capability model.

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2.1 KPIs

References

source

Refer to the file:DTT  Gap Assessment ESRS analysis Reporting Standard designSheet
For further details, access the Commission Delegated Regulation (EU) supplementing Directive 2013/34/EU of the European Parliament and of the Council regarding sustainability reporting standards. (link?)


3.0 ESRS Reports Overview


Data Collection Templates (Manual)


ESRS CodeDescriptionLinkLatest update in production (DD/MM/YYYY)
E1Climate ChangeCSRD | E1 Climate Change

 

E2

PollutionCSRD | E2 Pollution

 

E3

Water and Marine ResourcesCSRD | E3 Water and Marine Resources

 

E4Biodiversity and EcosystemsCSRD | E4 Biodiversity and Ecosystems

 

E5Resource Use and Circular EconomyCSRD | E5 Resource Use and Circular Economy

 

G1Business ConductCSRD | G1 Business Conduct

 

S1Own WorkforceCSRD | S1 Own Workforce

 


4.0

Business ObjectsThis section should contain a table with the business objects used in the reports with links to the business object definition in LeanIX.  The purpose is to ensure that all DA&AI Products adhere to a centrally maintained list of business objects and definitions to allow us to achieve our digital ambitions.  For any questions about business objects and LeanIX, contact

Data

Governance or the Enterprise Information Architect.Data DomainBusiness Object (in LeanIX)Business Object Definition (only use when the object is not yet in LeanIX)ex: Marketing & Salesex:  Customer 5.0 Data

Architecture


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titleData Capturing
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4.1 Data Capturing

Talend for Batch Processing:

  • Data collection is initiated through Talend batch processes, which extract raw data from both automated and manual sources.

    • Automated Sources : Systems such as SAP BW, SAP ERP, SAP SuccessFactors EC, SAP BFC, WAVE, NAVEX, and PURE;
    • Manual Sources: Includes Google Sheets and other manual templates.
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titleData Ocean
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4.2 Data Ocean

The Data Ocean in Google Cloud Platform (GCP) serves as the central hub for storing, processing, and normalizing data to support CSRD metric and KPI calculations. It is structured as follows:

  1. Storage:
    • Raw data is collected and stored securely.
    • Normalized data is prepared for downstream processes.
    • Google Cloud Platform (GCP):

      The Data Ocean utilizes GCP services such as Cloud Storage and BigQuery to process and store data efficiently across environments:

      • Dev - link
      • Test - link
      • Prod -  link

  2. Curation:
    • Data Quality (DQ) Measures: Implemented to standardize data quality processes.
    • Data Validation: Ensures accuracy and reliability of input data.
    • Data Consolidation: Combines various data sources into a cohesive format.

  3. Provisioning:
    • CSRD Metric, KPI, and Target Data Models are generated to support reporting and analysis.


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titleValidation Process
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4.3 Validation Process

KPIs are reviewed and validated through Jira workflows, allowing for user collaboration and audit logging.

Workflow phases include:

  • KPI review and input;
  • Analysis and comments;
  • Final sign-off by KPI owners;
  • 4.3.1- Jira Workflow:

    A- Manual creation of ticket:

         After KPI is added in Gap Assessment  Sheet is created with all the details, Jira ticket is creates to represent each KPI per granularity, using details from Gap Assessment Sheet

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      • Ticket Naming Format:
        • [DR] - [KPI ID] - KPI Description
      • Tickets Details:
        • All Values are from Gap Assessment Sheet
      • Assignees:
        • Data Producer
        • Data Approver

    B- Jira Phases:

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    • Waiting Value:
      • When KPI is manually created it's put in Waiting Value.
    • Waiting Approval:
      • When manual templates are filled and values are ready to be evaluated, we run Talend Job which extracts data from sheeting inserting them into both Jira tickets and GCP.
    • Rejected: 
      • If Data Approver finds different or incorrect values, they move it to Rejected to be re-assigned to Data Producer who then moves it to Waiting Value to repeat the process until it's approved by the Data Producer.
    • Approved:
      • KPI is matching and approved by Data Approver.

    Important Notes:

    • Jira automatic workflow is created to change assignee based on the column it's in; when in:

      • Waiting Value: Data Producer
      • Waiting Approval: Data Approver
      • Rejected: Data Producer
      • Accepted: Data Approver
    • Values MUST be numeric values; no currencies, percentage symbol, texts should not be added in the KPI Value section (unless the KPI's reporting value is text)
    • If a KPI has been Approved but needs to be re-evaluated, it must be moved to Rejected column to repeat the approval process.


    4.3.2- Power BI:

    Dashboard is used as a validation step between the values in manual templates and values in Jira tickets, ensuring that there are no discrepancies and that edits are made on both ends correctly.
    (image of dashboard)

    Data Approver will sign-off the KPI.

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    titleData Consumption
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    4.4 Data Consumption

    The validated data from the Data Ocean is used for multiple reporting and analytical purposes:

    1. CSRD Report Pack :
      Official CSRD reports are generated and shared with auditors.
    2. Performance Tracker :
      Tracks KPI performance against planned targets.
    3. Audit Analysis :
      Provides insights into data lineage and compliance requirements.

    Data visualization is achieved through Power BI report, which offer comprehensive insights into the reporting process and KPI granularity, that can be accessed via the following link: LIINNKKK

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    titleData Management and Operation
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    4.5 Data Management and Operation

    1. Data Management Features :
      1. Data cataloging for better accessibility.
      2. Workflow orchestration to manage data processes efficiently.
      3. Continuous data audits for compliance and traceability.
    2. Operational Features :
      1. Monitoring and workload management ensure system reliability.
      2. Data security protocols are implemented to safeguard sensitive information.
      3. Backup and CI/CD processes support system robustness and scalability.

    These processes are not isolated to a single stage but are integrated across all steps, from data capturing to data consumption. They ensure that data quality, consistency, and compliance are maintained at every stage of the CSRD flow.


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    5.0 Data Visualization


    The purpose of this part is to describe the physical components that supports the functionalities of the product. From that point of view, this part should capture and visualizes the physical components of the data products such as backend, front end, data providers, libraries for ML models, etc. 

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    Someone with accessaccess 


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    6.0 Non-functional Descriptions 

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    6.1 Usability

    The solution prioritizes usability to ensure that users can easily navigate and interact with the CSRD reporting system, making it intuitive to learn and use effectively. Key functionalities, such as filtering ESG data, exporting reports, and accessing compliance dashboards, are designed for simplicity and ease of recall. The system is integrated with Google Cloud Platform (GCP) to ensure centralized data storage and seamless access for reporting and analysis.

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    6.2 Regulatory Compliance

    The CSRD reporting solution complies with EU regulatory standards, including CSRD, ESRS, and GDPR, to ensure the secure handling of sustainability data. Access is strictly granted to authorized users only, maintaining data confidentiality and integrity while meeting compliance requirements.

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    6.3 Security

    - ????

    Security refers to essential aspects that assure a solution and its components will be protected against unauthorized access or malware attacks.  Important considerations related to security aspects of a system are User authentication, User user authorization or User , and access privileges , ensure the security of data theft, malware attacks, data encryption, and maintaining audit trails, e.g., only Users with administrator access shall be able to create new accounts and assign data access privileges to the new accounts e.g.,

    • All data will be encrypted in the dashboard
    • Only authorised Users / Administrative Users will be able to access data.
    • Maintenance data will be split between either SCO or ECO, and Users will only have authority to one Entity data.
    7.

    processes, and company information. Only authorized users can view or edit data in Google Sheets (Templates), Jira, Dashboard, Google Cloud Platform (GCP) where access control is independently managed for each platform.

    6.4 Performance

    The CSRD reporting solution is designed for high performance, ensuring swift response times during user interactions. Background processes, such as data ingestion, validation, and report generation, are optimized to run seamlessly with minimal impact on the user experience. The system infrastructure is configured to handle the current and growing user base efficiently, providing fast and reliable access to sustainability data even during peak usage.

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    6.5 Reliability

    - No?

    Reliability is the ability of a solution or its component to perform its required functions without failure under predefined conditions for a specified time / period.  Reliability can possibly be specified in terms of average time system runs before failure occurs, percentage of operations completed successfully within a time / period, maximum acceptable failure probability, or number of failures within a period.  Reliability aspects are in reference to (but not limited to) evaluation of the system to be considered as reliable, classification of reliability defining failures vs. regular failures, and the impact of failure on business operations.  The Maintenance Dashboard will display data from the previous refresh of data.   

    7.6 Scalability - No?

    Scalability refers to the degree to which a solution can evolve to handle increased amounts of work.  The increased amount of work could be in terms of the user base, transactions, data, network traffic, or other factors e.g., the system should be able to handle an additional load of a maximum of 5,000 Users every month for the next 6 months without any noticeable performance impacts.  

    7.7 Compatibility - No?

    Interoperability is the degree to which the solution is compatible with other components.  It is a measure of how effectively the system interoperates with other software systems and how easily it integrates with external hardware devices.

    Interoperability aspects to be discussed during elicitation are in reference to (but not limited to) software systems to be interfaced with along with data / messages to be exchanged and any standard data formats, hardware components to be integrated with, and any standard communication protocols to be followed e.g., Order Management system will push the order file into a secured file transfer protocol server from where it will be loaded into the system through a daily job.  To guarantee between Google Cloud platform and SAP BW Queries e.g., BW_QRY_MVPMOR01_0002, Solvay has introduced a new tool called Xtract (Xtract).

    7.8 Availability - No?

    essential for consistent operation, and the system is designed to function without interruptions under standard conditions. In cases of refresh delays or failures we can have some alerts but normally is managed by ticket.

    6.6 Scalability

    The solution is built to be scalable, able to accommodate growth in users, KPIs, templates and data volume.

    6.7 Compatibility

    Compatibility with other systems is ensured through seamless integration with external data sources and applications.

    6.8 Availability  - EDITTTTT

    Availability is the degree to which the solution is operable and accessible when required. It is a measure of time during which the system is fully operational e.g., available for use and sometimes included as a Service Level Agreement (SLA) considering its criticality to the business, e.g., the system shall be at least 99% available on weekdays between 09:00 to 18:30 Central European Time (CET).

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    6.9 Refresh of the

    Data - Yes??

    Data 

    Frequency, data, and time of the data refresh in the data product.