Solitwork

Focused use case #1

ESG Data Collection & Data Quality

Bring ESG data together, and improve its quality. Combine data from your systems with the input that only exists with people across the organisation, and catch issues before they reach the report.

TYPICAL ESG QUESTION

How do we get complete ESG data we can rely on, without managing it manually?

Collect ESG data the way it actually exists.

ESG data rarely comes from one system. Solitwork brings every type of source into one data model:

  • Integrations: Pull data directly from ERP and operational systems
  • Excel uploads: Load existing files without rebuilding them
  • Manual input: Let local data owners enter what only they know
  • Surveys: Gather information from business units, suppliers and other stakeholders

HYBRID DATA, ONE MODEL

Where systems stop, Workflow takes over

Automated sources cover part of the picture. The rest depends on people.

When data requires human input, Workflow assigns tasks to the right data owners, follows up on deadlines, identifies what is still missing and routes submissions for review and approval. Finance no longer has to run the collection process from an inbox.

AI-ASSISTED DATA QUALITY

Catch issues before they reach the report

Validation rules and controls check incoming data automatically. AI goes a step further: it analyses deviations, highlights data that looks unlikely and helps prioritise where review is needed.

When an issue needs human judgement, Workflow sends it to the right data owner and follows it through to resolution.

Business impact

How you benefit?

The result is an ESG data foundation that is more complete, better documented and easier to control, without the manual follow-up.

  • Completeness: Gaps are found and followed up before reporting starts
  • Documentation: Every data point has a source, an owner and an approval
  • Less chasing: Workflow handles reminders, reviews and approvals for you
Explore ESG & Sustainability Performance