Drive sustainability with actionable data
SUSTAINALYTICS
As sustainability becomes a core business priority, organizations face more than a reporting obligation. CSRD and ESRS have pushed companies to rethink what “operating sustainably” actually means. An annual sustainability report is nothing more than a snapshot, a backward-looking summary of progress.
If your only goal is to be compliant once a year, Sustainalytics is not the solution you need. But if your goal is to operate more sustainably throughout the year, Sustainalytics becomes essential.
To know whether you are truly improving, you must measure the right indicators, typically those defined in your double materiality assessment. And you must measure them frequently. Too much can change within a year, and waiting for an annual report leaves you reacting too late.
Speed matters.
Data Sustainability
Cultivating sustainable success with data
Your organization needs more than compliance. It needs actionable data that helps you monitor progress, steer decisions, and take timely action.
To do this, you need a solution that automatically ingests the required sustainability data, processes it, and makes it available for reporting and decision making. This is not something a generic SaaS tool can do efficiently. Most companies track only a limited number of indicators, meaning 80% of a SaaS platform remains unused, while still paying for it.
A high Total Cost of Ownership (licensing, maintenance, training, UX challenges) and vendor dependency are real risks. A modern sustainability approach requires a data platform that integrates with your existing architecture, keeps ownership of your data, and adapts to the indicators that matter to you.
Without clear sustainability objectives, data remains informational. With objectives, data becomes strategic.

Sustainable data deliverables
Key deliverables for your data sustainability journey
Our deliverables ensure you have everything needed for a successful data-driven sustainability strategy. From defining your goals to proving insights with real data, and finally, implementing robust solutions, we provide comprehensive support at every stage.
A clear starting point
Define
We start by clarifying key terminology, designing data and solution architectures, outlining data flows, and identifying your priority indicators. Mockups provide an early preview, and cost estimations ensure transparency.
Validate with real data
Proof
We validate your datasets across selected indicators to ensure accuracy and readiness. A live report demonstrates core insights and shows whether you are ready to move into implementation.
A platform built for real-world sustainability
Implement
We develop a fully integrated data platform that monitors all key indicators — including those from your double materiality analysis — enabling frequent, reliable sustainability steering rather than annual guesswork.
A data solutions case study
CSRD Dashboarding for Duvel Moortgat.
In this project, the ACA Group data experts developed a CSRD (Corporate Sustainability Reporting Directive) dashboard for Duvel Moortgat. Our solution integrates real-time data, providing comprehensive insights and streamlined reporting to meet the latest EU sustainability standards.
Sustainable Data Deliverables
Key deliverables for your data sustainability journey
Our deliverables ensure you have everything needed for a successful data-driven sustainability strategy. From defining your goals to proving insights with real data, and finally, implementing robust solutions, we provide comprehensive support at every stage.
Guided approach
We analyse your needs, scope the required datasets, and design a solution aligned with your sustainability targets.
Create a plan
We translate your sustainability ambitions into a strategic, data-driven roadmap.
Proof of value
We deliver early, measurable insights that demonstrate regulatory alignment and operational value.
Integrated solution
Our solution connects seamlessly with your existing systems: no unnecessary new tools, no disruptions.
Reusable assets
Accelerator components include predefined input sheets, prebuilt data loaders, precalculated metrics (e.g., carbon footprint), an out-of-the-box data model, and sample reports.


