Data requests by owner and period
Assign recurring submissions to sites, departments, portfolio companies, or client teams with clear due dates and status.
ESG data management software
ESG Data Management Software for Evidence and Ownership
Collect ESG data from sites and teams, validate it at source, preserve evidence and revisions, and prepare governed records for reporting.
- Know who owes each data point and when it is due.
- Preserve source documents, calculation context, validation notes, and revision history.
- Reuse one governed dataset across operational review, portfolio reporting, advisory delivery, and disclosure preparation.
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Built for ESG program owners, site coordinators, data stewards, finance controls, portfolio teams, and advisory teams.Use it when the ESG data submission must stay connected to evidence, ownership, review, and follow-up.Data arrives from many functions, sites, suppliers, clients, or portfolio companies.
How ESG data management software works
Keep ESG submissions complete, explainable, and ready for reuse
ESG data management software organizes how indicators are requested, entered, validated, approved, corrected, evidenced, and reused. The primary task is not writing the final report; it is keeping the underlying data complete, explainable, owned, and ready for each reporting or management use.
The application shown above connects each ESG data submission to its owner, reporting period, supporting evidence, review status, exception, decision, and next action.
ESG data submission workflow
Govern each ESG data submission before it is reused
For ESG program owners, site coordinators, data stewards, finance controls, portfolio teams, and advisory teams, every summary should remain traceable to the record and evidence that produced it.
- 01
Define indicator and owner
Specify the definition, entity, period, unit, source system, contributor, reviewer, due date, and required evidence.
- 02
Collect data and evidence
Receive structured values, source documents, calculation notes, and contextual explanations from sites and functions.
- 03
Validate and resolve exceptions
Flag missing evidence, invalid units, duplicate periods, unusual changes, and reviewer questions without losing the original submission.
- 04
Approve, aggregate, and reuse
Release governed records into portfolio views, dashboards, advisory work, and downstream reporting processes.
Controls for ESG data management software
The data-governance controls to verify before reporting
Evidence and exception control
Require files, photos, source notes, units, factors, reviewer comments, and returned-for-correction states where needed.
Portfolio-ready views
Filter and group the same governed records by entity, site, indicator, period, reviewer, status, or material issue.
Adapt the ESG data submission workflow
Let data owners refine the intake and validation model themselves
When a new metric, entity, review rule, or client request appears, the ESG team can extend the record and workflow without rebuilding the whole application.
- Add a new indicator, unit, source note, or evidence control.
- Create a returned-for-correction path for incomplete submissions.
- Give an advisory or portfolio team a filtered view without duplicating the dataset.
Illustrative change cycle
Add a contributor field, validation rule, and correction queue
- Conventional change queue
- 3–12 business daysAcross requirements, schema changes, workflow work, testing, and deployment.
- Configurable in Jodoo
- 30 minutes–3 hoursFor a trained administrator to configure and test the change.
These are bounded planning estimates, not guaranteed savings. Actual elapsed time depends on data quality, governance, integrations, testing, and the complexity of the change.
Fit, boundaries, and ownership
Use Jodoo when the hard part is coordinating data across people and systems
A strong Jodoo fit
- Data arrives from many functions, sites, suppliers, clients, or portfolio companies.
- Reviewers need source evidence and exception history, not just a final number.
- The data model changes as programs, entities, and reporting requirements evolve.
- Teams want dashboards and exports from the same governed records.
Use specialist connectors or disclosure engines where automatic depth is required
Jodoo can orchestrate APIs, imports, forms, formulas, reviews, permissions, and dashboards, but each integration and calculation method must be designed and validated. It is not presented here as an automatic ESG data provider, assurance platform, or native regulatory filing engine.
FAQs
ESG data management software questions
What is ESG data management software?
ESG data management software organizes how indicators are requested, entered, validated, approved, corrected, evidenced, and reused. The primary task is not writing the final report; it is keeping the underlying data complete, explainable, owned, and ready for each reporting or management use.
What should ESG data management software include?
Start with define indicator and owner, collect data and evidence, validate and resolve exceptions, approve, aggregate, and reuse. The underlying ESG data submission, owner, period, evidence, exception, decision, and next action should remain reviewable.
Can Jodoo be used for ESG data management software?
Use Jodoo when the hard part is coordinating data across people and systems. Data arrives from many functions, sites, suppliers, clients, or portfolio companies. Reviewers need source evidence and exception history, not just a final number. The data model changes as programs, entities, and reporting requirements evolve. Teams want dashboards and exports from the same governed records. Jodoo can orchestrate APIs, imports, forms, formulas, reviews, permissions, and dashboards, but each integration and calculation method must be designed and validated. It is not presented here as an automatic ESG data provider, assurance platform, or native regulatory filing engine.
When should a team use specialist software instead of Jodoo for ESG data management software?
Jodoo can orchestrate APIs, imports, forms, formulas, reviews, permissions, and dashboards, but each integration and calculation method must be designed and validated. It is not presented here as an automatic ESG data provider, assurance platform, or native regulatory filing engine.
How should a team evaluate this application?
Test one normal case and one missing, late, disputed, high-risk, or returned case from define indicator and owner through approve, aggregate, and reuse. Confirm that each result opens the source record and evidence behind it.