Collect energy, emissions, water, waste, people and governance data the way each site measures it, check it as it arrives, and send it to named owners and approvers — so every KPI and report is built from figures someone has signed off.
Illustrative screen with sample data.
A plant engineer reads a meter, a finance team keeps fuel invoices, HR runs payroll: ESGTrack takes each figure from where it already exists rather than asking someone to re-key it at year end. Meter readings become consumption, fuel logs reconcile against stock checks, bills are matched to sites, and water is entered as a balance.
Whatever the route, the figure arrives with its source attached and waits for review before it counts.
Validation rules run on every typed, imported, connected and API figure — a minimum or maximum, a whole number, the change from the same month last year, one metric against another. A rule set as an error refuses the figure; one set as a warning saves it with a note. Unusual figures are pointed out while someone types, and anomaly checks on every monthly series explain what they found and rank it by the tonnes at stake.
A grid of sites and months shows what is still missing, and an area that does not apply at a site — no diesel generator, no water discharge — is marked so with its reason, so a gap is never mistaken for a zero.
Illustrative screen with sample data.
Every part of the report has an owner and a due date, and owners are reminded before a deadline passes. My Tasks gathers what each person has to enter, approve, answer or learn. Approval workflows follow your organisation — roles by pillar, named approvers, as many steps as you need — and every approval can carry an electronic signature.
Illustrative screen with sample data.
A dashboard shows the data collected against what is due. Groups see a consolidated dashboard across their companies. Targets and actions are followed from the same data, and the BRSR Core KPIs are calculated from approved entries — so the number on a dashboard is the number that goes into the report.
Approved data is carried into BRSR Core and CSRD, and the same figures answer ISSB, a GRI content index and CDP where the measure is the same.
Yes. Paste a block straight from Excel — sites down, months across — or import CSV and Excel files, with the columns mapped and checked before anything is saved. What changes is what happens next: each figure carries its evidence, goes through its approvals and is written to the audit trail.
With the offline field app, opened from a link or a printed QR card, in English or Hindi. Readings recorded without a connection are sent when there is one, and a meter photo taken in the app becomes the figure's evidence.
Zoho Books, Tally and SAP S/4HANA through connectors, and HR data from Darwinbox, Keka, greytHR, SuccessFactors or a spreadsheet — each staged for review before it counts. Professional and Enterprise also include a REST API with an OpenAPI specification, and signed webhooks.
Validation rules — ranges, whole numbers, year-on-year change, one metric against another — check every typed, imported, connected and API figure; unusual figures are pointed out while you type; and anomaly checks on every monthly series rank what they find by the tonnes at stake. Nobody can approve a figure they entered.
Yes. A custom metric is entered, evidenced and approved like any other figure, and custom ESG topics cover what no framework does.
Reliable ESG data comes from a simple design decided before collection starts — which indicator, at which site, how often, in what unit, entered by whom, approved by whom, with what evidence. For suppliers, ask only the partners that matter (BRSR's 2% rule is a good start), ask for little, make answering easy, and record how good each answer is.
5 min read
Emissions are activity data multiplied by an emission factor — litres of diesel, kilowatt-hours or tonnes of material times the kilograms of greenhouse gas each unit releases — with every gas converted to CO₂e using one set of global warming potentials. Common errors come from units, from a factor that does not fit the activity, and from not recording which factor was used.
5 min read
Illustrative scenario
An invented example of how an auto-components maker in the top 250 might run its first supplier data request — choosing 11 value chain partners under BRSR's 2% rule plus the suppliers behind its Scope 3 hotspots, asking for four things, following up, allocating the answers and scoring their quality. The company, suppliers and figures are invented to show the steps.
3 min read
A walkthrough of collection, checks and approvals around your sites, systems and reporting calendar.