BEST PRACTICES

Sustainability Data Management: Full Visibility for Your Team and Auditors

Sustainability data management best practices include tracking data uniqueness, completeness, gaps, accuracy and full change history. They apply to all environmental data management, from energy and water to waste and emissions.

MANAGE YOUR DATA

Get a complete view of your data flows with GLYNT.AI’s reports

GLYNT.AI’s comprehensive reporting keeps your data organized and audit-ready year-round.

Read reports, save hours

GLYNT.AI automatically delivers your data along with the reports that explain it.

Verify compliance

GLYNT.AI’s reports cover all five GHG Protocol data quality principles.

Be audit-ready

GLYNT.AI builds an audit-ready archive of your data and reports all year.

WHY IT MATTERS

Spend less time wrangling data, more time managing sustainability

GLYNT.AI automates sustainability data preparation, including complete reporting, so you can shift to other tasks.

Save time

GLYNT.AI’s automated data service puts hours back into your day.

Shift your role

Move from data prep to managerial activities.

Gain confidence

Pre-built reports provide a comprehensive view of your data flows.

Expand existing systems

GLYNT.AI uploads reports directly into your BI tool or existing software.

HOW IT WORKS

Sustainability data reports reveal exactly what’s happening in your data

GLYNT.AI’s sustainability data reports show the real story behind your data: where it’s flowing, where exceptions are piling up, and how each accuracy test performs.

Built on your data

GLYNT.AI lets you inspect your data in depth without doing the hard work.

Reports on data-level tests

GLYNT.AI backs every figure with 65+ accuracy and reliability tests.

Reports on system-level tests

GLYNT.AI’s system-level tests catch issues in how data is collected, calculated, and aggregated.

Change management

GLYNT.AI turns change logs and approval flows into audit-ready reports.

REPORTS

Meet the GHG Protocol’s five accounting principles

Be confident in your data with full reporting from GLYNT.AI

Requirement	Description	How GLYNT.AI does it	GLYNT.AI report
Relevance	Data must meet decision makers’ needs	Customized datasets, with supporting reports	Accuracy & Verification Report Customized Fields & Rules
Completeness	Data must be complete and unique within the reporting boundaries	System-level tests and controls	Chain of Custody Report Gap Report Exceptions Report Accuracy & Verification Report
Consistency	Data is comparable over time	Data prepared with established methodology, clear change rules	Register Reconciliation Transaction Accounting Monthly Approvals Change Logs
Transparency	Clear and accessible audit trails. Assumptions noted	Fully documented methods, with assumptions noted	Chain of Custody Exceptions Report System Documentation
Accuracy	Verification of accuracy, and reduction of uncertainty of data values	99.5% accuracy from GLYNT.AI’s Few Shot machine learning	Accuracy & Verification Tests

FREQUENTLY ASKED

Common questions about best practices for managing sustainability data

Browse common questions about how GLYNT.AI’s sustainability data reports work and what they cover.

How do the reports support best practices for managing sustainability data?

GLYNT.AI’s reports support both pillars of best-practice data management: efficient use of your team’s time and audit readiness. Instead of hours of manual data wrangling, your team gets a short, focused report review — and because every report is audit-ready, it can go straight into the archive your auditors will need.

How are these reports different from typing data into our reporting software?

Sustainability data reports from GLYNT.AI help you find the missing files and other data gaps long before the data reaches your software. No more hunting and pecking with the hand-keyed data entry that auditors don’t like. Use GLYNT.AI’s reports to identify and locate missing files as the issue arises, not during the crunch of reporting season.

How often are the reports updated?

The reports are updated every month or quarter, depending on the frequency of your data deliveries.

Do we need a data analyst to use these reports?

No. They’re built to be read directly by your sustainability team and managers — no data analyst or BI specialist required.

Can we bring these reports into our own BI tools?

Yes. Reports can be uploaded directly into your existing BI tool or software, so they fit into how your team already works.

Stop wrangling data. Start managing it

TALK TO A DATA EXPERT

BACK TO PRODUCT