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AI & BI use case · Data platform

ESG reporting

Automatically capture and report sustainability metrics.

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What it's about

ESG reporting collects environmental, social and governance data from various sources and produces standard-compliant reports for investors and authorities.

  • Easier compliance
  • Better sustainability balance
  • More transparency
Business case & ROI
−60 %

reporting effort

100 %

data coverage

6 Mon.

payback

−30 %

audit costs

Calculated from saved reporting effort, lower audit costs and improved ESG ratings.

How we do it
  1. 01

    Data integration

    Consolidate data from ERP, MES and further sources for ESG reporting.

  2. 02

    Data quality

    Clean, harmonise and validate data for plausibility.

  3. 03

    Model development

    Train and validate the ESG reporting model on historical data.

  4. 04

    Pilot

    Pilot ESG reporting in one area and collect feedback.

  5. 05

    Rollout

    Scale the solution and integrate it into operational processes.

5

Steps

6

Data sources

4

Stakeholders

From first data access to production – every step delivers a tangible interim result.

Data typically needed

Financial data

Cost centres, budgets, cash flows and invoices.

Environmental data

Emissions, wastewater and permits.

Energy consumption

Electricity, gas, water and steam per area.

HR data

Shift plans, qualifications and absences.

ERP data

Master and transaction data from ERP.

Documents

Specifications, quotes, contracts and reports.

Stakeholders

  • Sustainability lead

    Captures and communicates sustainability metrics.

  • CFO

    Receives reliable financial and risk metrics.

  • Controlling

    Quantifies effects and supports budgeting.

  • IT

    Builds on a scalable and secure data infrastructure.

Typical business value
01

Easier compliance

02

Better sustainability balance

03

More transparency

04

More trust

05

Lower risk

The data platform advantage

With a solid data foundation this use case gets faster, cheaper and far more stable.

Central data platform

Real-time data integration

Scalable analytics pipelines

Reusable data products

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Synergies & positive side effects

Compliance reporting

Audit-ready data supports evidence.

Automated reporting

Metrics are provided without manual effort.

BI reporting

Metrics are delivered in dashboards.

More use cases

Lakehouse Architecture

A central lakehouse replaces the patchwork of data warehouse, data lake and Excel exports.

Data Integration from ERP & MES

Automatically merge ERP and MES data instead of exporting and reconciling manually.

Streaming & Real-Time Data

Instead of daily batch runs, relevant metrics are available within seconds.