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ESG data systems · Enersys

Build ESG data from source to report

Plan how source records are collected, connected and checked before they become reportable metrics. The design can include Odoo, PrivacyHub and other systems, with named owners, evidence and review steps. The right scope depends on your data and reporting needs.

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Operations and finance colleagues reviewing a utility record alongside ESG data on a laptop
AI-generated illustration; not a customer or Enersys team.

Before choosing software, agree which number you need to report and who can verify it.

Follow the data from source to report

Who this is for

When the next report needs better evidence

  • Preparing a sustainability report or 56-1 One Report

    Listed companies that disclose sustainability data every year and want each figure to trace back to its evidence.

  • Managing ESG indicators across teams

    Organizations that need each reported figure to have a clear source, calculation method, data owner and reviewer.

  • Suppliers asked for ESG data

    Businesses whose customers request energy use, greenhouse gas emissions or workforce figures as part of supplier reporting.

What we do

Tools and workflows for the job

Odoo for source records and ESG workflows

Use the Odoo ESG app for the data and functions it supports. When a company needs additional indicators or approval steps, a custom Odoo module can be scoped to its source systems and reporting needs. Confirm which data is captured in Odoo and which remains in other systems before design.

Read: ESG with Odoo data

PrivacyHub for collection and review cycles

PrivacyHub provides a starting point in personal-data governance. ESG collection and review need a separate project scope: workflow, access rules, evidence and review history. Confirm what existing functions cover and what needs configuration or development.

The organization still decides the purpose, access, retention and lawful basis for personal data. Using the platform alone does not establish PDPA compliance.

Read: ESG as a monthly process

Metrics with their source and calculation

For each indicator, record its boundary, unit, period, calculation method, source and reviewer. A dashboard can then show exceptions and link the reported value to supporting records, instead of presenting a number without its context.

Drafting support with accountable review

AI may help organize approved information into a first draft. A subject-matter owner and the company’s approver still need to check the source, calculation, wording and disclosure before publication.

From source to report

A clear path for every reported number

A practical ESG data process connects the record, the checks and the person who approves disclosure. These steps are a planning example; each organization should adapt them to its reporting scope.

  1. Collect at the source

    Start with records people already create. Name the owner, reporting period, unit and evidence for each indicator.

    Examples: utility bills, fuel logs, purchasing, HR aggregates and supplier submissions.

  2. Connect and validate

    Bring approved records together, preserve their source and check boundaries, units, duplicates, missing values and estimates.

    A reviewer resolves exceptions before a value moves into a metric.

  3. Prepare metrics and reports

    Apply the agreed calculation, map indicators to the selected report and retain links to the evidence and approval.

    The company’s data owner and approver check the final disclosure.

Our framework

Seven layers of ESG data

This is the framework we work with, not a requirement of the Stock Exchange of Thailand. You do not need every layer in the first year, but it helps to see the whole picture before you start.

  1. 1

    Data governance

    Definitions, owners, collection cycles and approvers for every indicator

  2. 2

    System of record

    Energy, fuel, purchases and payroll recorded in the ERP during normal work

  3. 3

    Supply chain

    Supplier register, code of conduct acknowledgements and ESG assessments

  4. 4

    Environment and GHG

    Activity data converted with emission factors, Scope 1 and 2 first

  5. 5

    People and personal data

    Workforce indicators reported in aggregate under PDPA

  6. 6

    Risks and materiality

    Why each issue matters, linked to the indicators that track it

  7. 7

    Reporting and disclosure

    Select indicators and evidence to map to the chosen reporting framework, such as 56-1 One Report or GRI, and the public disclosures used in FTSE Russell assessment

Read the full guide
Seven layers of sustainability data, from data governance at the bottom to reporting at the top

How to start

Start with a small, testable scope

Begin with a few indicators and one reporting period. Agree on the boundary, owners and evidence first; add sources after the team can trace a value from its record to the report.

A planning example: monthly electricity use

Take a utility bill for one site and one month. Record the meter, billing period and electricity consumed in kWh, keeping the bill as evidence. Check that the site is inside the reporting boundary and that the period does not overlap another bill. Assign a data owner to reconcile the value and a reviewer to approve it before it enters the report.

This is a proposed starting point, not a customer result. Reporting greenhouse gas emissions also requires an agreed calculation method and appropriate emission factors.

FAQ

Frequently asked questions

Where should an ESG data system start?

Choose the reporting purpose and indicators first. For each one, define the boundary, unit, reporting period, calculation method, owner, reviewer and source evidence.

Where can ESG source data come from?

Common sources include utility and fuel records, purchasing, travel, HR aggregates and supplier submissions. Start from the system or document that is authoritative for each value, and keep a reference to it.

Can an ESG system connect to our ERP or HR system?

Often, but the connection may be an integration or a controlled import depending on the source system and data quality. Preserve source references, reporting periods and existing access rules; do not copy personal data unless the work requires it.

How do we check ESG data before reporting?

Check the reporting boundary, unit, period, duplicates, missing values and estimates. Record how exceptions were resolved, then have the indicator owner and the required approver review the value and evidence.

Do we need to use Odoo already?

No. The design should fit the systems that hold your source data. Odoo can be one source or workflow platform; other ERP, HR, energy and supplier systems can remain part of the process.

What does PrivacyHub contribute to the process?

It provides a starting point in personal-data governance. ESG collection status, evidence and review steps need their own project scope, including a check of existing functions and any configuration or development required. The organization still needs to define purpose, roles, retention and a lawful basis for personal-data processing; a tool does not certify PDPA compliance.

Does the Odoo ESG app cover every Thai reporting need?

Not automatically. Confirm which indicators and calculations the app supports, then identify reporting topics, approvals and evidence that need other systems or a separately scoped workflow.

Can AI prepare an ESG report?

AI can help organize approved data into a draft, but it can misread context or carry forward outdated information. People responsible for each indicator and the disclosure must check sources, calculations and final wording.

Start with one indicator you report today

Bring one data point, such as monthly electricity across sites or the workforce figures you disclose. We trace it from source to report with you, to see where the data lives, who signs it off and what is missing.

Talk to us about ESG