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ESG Consulting · Govern

ESG Data Management & Analytics

We build the ESG data layer — sources, definitions, collection, validation and analytics — so that reporting stops being an annual manual exercise. The sequence matters: we settle the definitions and map each metric to a source before any tooling is chosen, because a platform bought too early simply automates existing confusion. Much of the data already exists in ERP, HR, travel and utility systems, so integration is usually cheaper and more reliable than new collection processes. The result is lineage from source to disclosure and performance that is visible between reporting cycles, not only once a year.

In short

ESG data management establishes the systems, definitions and controls that make sustainability data reliable and repeatable. Reliability comes from fixing definitions and sources first; software only ever digitises the process it is given.

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What we do

The work inside esg data management & analytics.

Source and definition mapping

We map each metric to a source system and a single agreed definition, so there is one authoritative version of every number. Settling this first is what prevents the familiar situation of two teams reporting the same metric two different ways.

Collection and validation automation

We automate collection from meters, ERP, HR and travel systems and apply validation rules as the data arrives. Catching anomalies at the point of capture is far cheaper than reconciling them during the reporting crunch.

Analytics and dashboards

We provide dashboards that show performance against target between reporting cycles, not only at year end. Seeing the numbers move through the year is what lets management intervene while there is still time to change the outcome.

Audit trail and tooling

We maintain lineage from source to disclosure and advise on dedicated tooling only once it is justified. Keeping a clear trail is what makes assurance straightforward, and recommending software only when definitions are stable is what stops you paying to automate confusion.

What you receive

Deliverables, in writing.

Documented output your teams keep and can act on without us in the room.

  • Metric-to-source mapping with definitions
  • Automated collection and validation implementation
  • Performance dashboards
  • Data lineage and audit trail documentation

When this work helps

You may be facing this.

  • ESG data lives in dozens of spreadsheets
  • Numbers cannot be traced back to a source
  • Performance is only visible once a year

How an engagement runs

Discover, assess, design, deliver.

  1. 01

    Discover

    Understand your sector, stakeholders, existing commitments, and the requests you are receiving. We establish who is asking you for ESG information and what you have already committed to publicly, so the work answers real pressure rather than a generic checklist.

  2. 02

    Assess

    Review material topics, current data, governance, and the gap to the reporting you need to produce. We report plainly where your current numbers would not withstand scrutiny and what it would take to close the gap.

  3. 03

    Design

    Define metrics, ownership, data flows, controls, and a reporting approach you can repeat. The design fixes how each number is produced and who owns it, so reporting becomes a repeatable process rather than an annual scramble.

  4. 04

    Deliver

    Implement the measurement and governance changes, and review disclosures against the evidence. We test every public claim against its source before publication, so what you disclose is what you can defend.

Where we work

Delhi, India — and wherever the work is.

Fidova provides ESG consulting from Delhi, India, and works with organisations internationally, including those reporting under global frameworks and responding to customer, investor, and supply chain requirements from other markets.

Engagements run in English, are scheduled around your time zone, and can be delivered remotely end to end, with on-site time planned where a phase genuinely benefits from being in the room.

Questions

ESG Data Management & Analytics: common questions.

Straight answers to what buyers ask us before an engagement begins.

Enquiries

Enquire about esg data management & analytics.

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Next step

Discuss your esg data management & analytics requirement.

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