| LACO
| LACO

AG Insurance streamlines sustainability reporting with LACO

Sustainability is a top priority for AG Insurance – and that includes the way it reports its sustainability performance. Through a close collaboration that combined LACO’s expertise with Microsoft technology, AG Insurance and LACO co-developed an automated, standardized, auditable, and repeatable sustainability reporting process.

Setting the scene: data governance across all business lines

The Corporate Sustainability Reporting Directive (CSRD) is the European guideline for sustainability reporting. The directive requires European companies to transparently and comprehensively map all relevant ESG (environmental, social and governance) themes using the European Sustainability Reporting Standards (ESRS). A key principle of the CSRD is dual materiality, i.e. companies must report on both their impact on the environment (inside-out) and the impact the environment has on the company (outside-in).

As the largest insurer in Belgium, AG Insurance is subject to the European Non-Financial Reporting Directive (NFRD) and had to publish its first CSRD-compliant report in 2025, covering 2024 data. The same applies to Ageas, AG Insurance’s majority shareholder, which is listed on the stock exchange.

To meet the CSRD requirements, AG Insurance first needed to ensure it could access all the right data. “We manage the data platform and act as a data office,” says Laurent Horion, Data Platform Manager at AG Insurance. “So we’re responsible for the data governance across all business lines. When teams need data for their sustainability reporting, they turn to us first.”

The problem:

find the right approach

However, the major challenge with sustainability reporting is that the data you need often doesn’t originate from core systems. For example, at AG Insurance, there was little of this non-core system data available in an automated format, and data capture ended up becoming a manual process, with Excel as the primary tool.

This meant that implementing the CSRD presented AG Insurance with a much broader challenge. “First and foremost, we had to comply with the CSRD and deliver our first report in 2025, so we had to develop a method and approach for that,” says Laurent.

The second challenge was to also prepare a report for Ageas, with a view to consolidating reporting at the group level. “We don’t regard reporting simply as an obligation, but rather as part of our strategic mission. AG Insurance is among the top 1% most sustainable organizations worldwide. Sustainability is embedded in everything we do, so it goes without saying that our reporting must reflect that commitment.”

The solution: building on existing experience

To achieve this, AG Insurance partnered with LACO, leveraging their expertise to co-design and implement a comprehensive end-to-end architecture that supported the entire process. This included everything from data collection and ingestion on an Azure data lake to analysis with Synapse Serverless and internal validation in Power BI, and the actual reporting with Tagetik. This framework was supplemented with Databricks – to process the various data layers – and Data Galaxy, a data governance tool that provides full insight into AG’s data catalog, data glossary, and data lineage.

For AG Insurance, LACO was the obvious choice, and the project built on a collaboration that has been well established over many years. As a local Belgian data, analytics and AI expert, supporting the full data value chain of their customers, LACO supported AG’s migration from their on-premise data platform to Azure Synapse. “LACO played a vital role in migrating our business self-service analytical programmes to the cloud,” says Laurent. “So we already had valuable experience with Azure, Synapse, and Power BI. This proved to be a major advantage, as it allowed us to quickly take the necessary steps within a framework already in place at AG.”

Even before LACO developed the design, Laurent’s team carefully examined what data would be needed for the report, which data owners would be involved, and so on. Then AG and LACO worked together to design the reporting process and had it evaluated by the stakeholders to ensure everything ran as smoothly as possible. “There was a lot of groundwork to cover before the actual development of the technical solution,” recalls Laurent. “When it came to double materiality, for example, we had to carefully consider which specific elements would be relevant to us as an insurance company.”

The result: an optimal process

The biggest challenge turned out not to be around data or technology, however, but people. “Close collaboration between teams who had never worked together before was key to the project’s success,” says Laurent. “That’s how we arrived at a joint approach, across business lines, IT, and data. Short lines of communication between teams made a real difference.”

Specifically, the business teams use templates to enter the necessary data. By choosing templates, AG minimizes the risk of non-compliant data. Once all the data is available, things move quickly, and the actual report can be generated the same day. “Ultimately, the solution launch went smoothly, and from there we’ve been able to improve the process step by step since then. The environment is constantly evolving, so when requirements or definitions change, for example, we must react quickly.”

AG Insurance had a clear goal: to deliver a CSRD-compliant report on time. “We achieved that goal,” says Laurent. “Our solution meets business needs and regulatory requirements with its reporting.”

Would this have been possible without the solution? “If you dedicate enough people and time to it, anything is possible,” laughs Laurent. “But if we’d continued to do everything manually, we would inevitably have hit a wall. By implementing an optimally automated, standardized, auditable, and repeatable process, we not only save time, we can also be confident that we’ll be able to meet additional reporting requirements in the future – from both Ageas and the regulator. We have a solid foundation that will support our growth for years to come.”

Ready to take the manual work out of CSRD reporting?

AG Insurance streamlines sustainability reporting with LACO2026-04-21T07:23:17+00:00

Integrating SAS with Microsoft Azure

Many organisations rely on SAS as a trusted engine for analytics, reporting and modelling. At the same time, business users increasingly expect the modern flexibility of Microsoft Fabric and Azure Databricks. They want interactive dashboards, faster access to insights and a unified view across teams. This creates a gap between what the organisation already depends on and what the business now requires.

By integrating SAS with Microsoft’s cloud ecosystem, organisations gain the best of both worlds: a governed analytics engine on one side and a streamlined approach that minimises migration investment and accelerates change adoption on the other.

The challenge

SAS remains a powerful platform for processing and modelling, yet it was not built for today’s expectations around real time insights, cloud scalability and self service analytics. As a result, organisations end up switching between a central data warehouse (SAS DI) and end-user compute (SAS EG), manually exporting data and recreating reports. This leads to inconsistent versions, slow refresh cycles and a clear divide between technical teams and business users.

The challenge is not choosing one platform over the other. It is creating a landscape where they reinforce each other.

The solution

LACO helps organisations build a seamless bridge between SAS, Databricks and Microsoft Fabric.

  • The journey begins with a thorough scan of the existing SAS environment to understand dependencies, data sources and reporting processes.
  • Once there is clarity, we design an hybrid architecture where SAS outputs land securely and automatically in Databricks and Microsoft Fabric as certified datasets. These datasets follow shared governance and metadata principles so that access rules, terminology and lineage remain consistent across platforms.
  • We then automate the data flows to ensure that business users always work with up to date information. Manual exports disappear and data refreshes run on predictable schedules. Throughout this process, analysts and business users receive practical training so they can explore SAS outputs in Power BI with confidence.

The (gradual) transition becomes smooth, governed and supported by clear communication.

Results

The organisation gains one connected data landscape instead of two separate tools.

SAS continues to provide the analytical strength and validated outputs that teams rely on, while Power BI and Synapse deliver the flexibility and speed business users expect. Duplicate work disappears because data is prepared once and reused across the entire ecosystem. Reports refresh faster, users adopt the new environment more easily and IT teams spend far less time supporting manual tasks.

Most importantly, insights become both governed and accessible. Business users explore information in real time without recreating models or manipulating data manually, and leadership gains a trusted, consistent and audit ready view of the organisation. By connecting SAS with Microsoft’s cloud platform organisations modernise without replacing what still works and create a future ready foundation for analytics, AI and decision making.

Want to connect SAS and Microsoft Azure in a single data landscape?

We help you build the bridge — safely, efficiently and at your own pace.


Keep the strength of SAS. Add the flexibility of Microsoft Azure. And bring everyone onto the same page.

Integrating SAS with Microsoft Azure2026-01-08T09:54:32+00:00

Data Lakehouse development with Azure Databricks

This hands‑on bootcamp is your gateway to mastering Data Lakehouse development in Azure Databricks, delivered exclusively for your organisation. Whether your team is just starting out or looking to deepen its technical expertise, this one‑day programme builds the skills to design, optimise and operate scalable Lakehouse solutions.

By the end of the day, participants will be able to apply these techniques confidently within your own Azure‑based data platform.

What you’ll learn

  • Understand the core principles and benefits of the Data Lakehouse architecture compared to traditional data warehouses and data lakes.
  • Set up and configure Azure Databricks for data engineering, processing, and analytics.
  • Gain deep hands-on experience with Delta Lake for managing structured and unstructured data with ACID transactions and schema evolution.
  • Implement best practices for data ingestion, transformation, and governance using Unity Catalog for centralized metadata and granular security control.
  • Build and orchestrate data workflows with Databricks Workflows and integrate them with CI/CD pipelines through Data Asset Bundles.
  • Tune and optimize your environment for performance, scalability, and cost efficiency.
  • Explore the Apache Spark engine and learn to monitor jobs and troubleshoot with the Spark UI.
  • Design simple Databricks Dashboards for reporting, monitoring, and stakeholder communication.
  • Strengthen your understanding of data security, compliance, and operational monitoring for enterprise-scale pipelines.

Who should attend

Data Engineers looking to build scalable data pipelines on Databricks.

Data Analysts interested in advanced querying and visualization techniques.

Cloud Engineers & Architects responsible for designing future prove data platforms.

Location

This training can be held at the LACO office or at your training facilities.

FAQ

What is the required level of prior knowledge or experience for this training?2025-11-26T13:06:45+00:00

No specific prior experience is required. A basic familiarity with general data concepts and terminology (such as data analysis, modelling, or reporting) is helpful, but the bootcamp is designed for both beginners and those with some hands-on experience.

Is lunch, coffee, or catering included in the price?2026-01-12T15:03:42+00:00

When the training is organized at LACO training facilities, lunch and beverages are provided.

Will the training language always be English (or Dutch/French)?2025-11-26T13:08:44+00:00

Yes, the training is delivered in English. On demand, and for specific groups, a Dutch or French session may be arranged. Please let us know your preference upon registration.

What is the duration of the training?2026-01-12T15:02:00+00:00

The duration of the training depends on the content that is taylored for you.

Because better data starts with better skills.
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Data Lakehouse development with Azure Databricks2026-01-14T09:29:33+00:00
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