Skip to main content
DATA HUB

Centralise, Validate, and Organise with Total Confidence

Sustainability data lives in spreadsheets, supplier emails, PDFs, and disconnected systems. Data Hub brings it all together, validates it automatically, and organises every data point into both emission scopes and 15 industry categories. One place, one truth, zero chaos.

ABOUT DATA HUB

The Foundation Every Other Feature Builds On

Before you can measure, report, or reduce, you need clean data. For most venues and event operators, sustainability data is scattered across dozens of sources: utility invoices, waste hauler reports, catering partner spreadsheets, transport logs, and ticketing systems. Different formats, different units, different update cycles. By the time everything is collected and cleaned, half of reporting season is already gone.

Data Hub eliminates that chaos. It connects to your existing systems via API, accepts smart imports from PDFs and spreadsheets, and sends automated data requests to suppliers. Every incoming data point is validated against configurable rules, checked for anomalies, and classified using the platform's dual categorisation system: three emission scopes and 15 industry specific categories. The result is a single, audit ready dataset that powers every other feature.

Dual CategorisationAutomated Validation15 Industry Categories
50X Impact platform dashboard

Data collection time saved

Up to 90%

compared to manual processes

CAPABILITIES

Six Ways Data Hub Changes Everything

From chaotic spreadsheets to a single verified dataset in days, not months.

Dual Categorisation Engine

Every data point is automatically classified by emission scope (1, 2, 3) and by one of 15 operational categories. Two views, one source of truth.

API Integrations

Connect directly to energy management systems, waste platforms, ticketing tools, and finance systems. What is already measured flows in automatically.

Smart Import and Parsing

Upload PDFs, spreadsheets, or invoices. AI extracts, categorises, and validates the data, handling unit conversions and format differences automatically.

Automated Validation

Configurable rules flag suspicious values, missing periods, and inconsistencies before they reach your reports or calculations.

Supplier Data Requests

Automated reminders and guided submission portals make it easy for suppliers to provide the data you need on time and in the right format.

Anomaly Detection

Machine learning flags unusual patterns in your data, catching errors and identifying trends that would be invisible in manual review.

DEEP DIVE

Why Dual Categorisation Matters

Regulators and frameworks demand data organised by emission scope. Operations teams think in categories like energy, waste, and catering. Without dual categorisation, organisations spend hours manually mapping between these two systems every reporting cycle, introducing errors and inconsistencies along the way.

Data Hub classifies every data point in both systems at the moment of ingestion. When your energy manager uploads a utility bill, it is automatically tagged as Scope 2 and filed under the Energy category. When a catering supplier submits delivery data, it is classified as Scope 3 and placed in the Catering category. This dual tagging flows through the entire platform, ensuring that Carbon Engine calculations, AI Reporting outputs, and Benchmarking comparisons all speak both languages natively.

Data Sources Connected

50+

integrations and import formats supported

Validation Rules

200+

pre configured checks for venues and events

Prep Time Reduction

90%

less time spent collecting and cleaning data

TRUST & DATA QUALITY

The Dataset Your Auditors Will Love

Every data point is validated, traceable, and audit ready before it reaches any report or calculation.

Input Validation

Every incoming data point is checked against configurable rules for completeness, plausibility, and consistency.

Source Tracking

Full provenance for every data point, from original source through ingestion, validation, and classification.

Change Log

Every edit, correction, and override is logged with timestamps and user attribution for complete audit trails.

Quality Scoring

Each data point receives a quality score based on source reliability, validation status, and recency. Low quality data is flagged for review.

GET STARTED

Get All Your Sustainability Data in One Place

See how Data Hub eliminates the chaos of sustainability data collection and gives you a dataset you can trust.