Primary source of EU Taxonomy KPIs with automated delivery

Norddeutsche Landesbank (NORD/LB) is a leading German Landesbank headquartered in Hanover, serving corporate, institutional, and public-sector clients across Germany and selected international markets. With a strong focus on financing, capital markets, and structured solutions, the bank plays a key role in supporting mid-sized enterprises and large-scale infrastructure projects. NORD/LB is also active in private customer business through Braunschweigische Landessparkasse.

NORD/LB uses ESG indicators across several regulatory and internal reporting processes. The bank selected Dataland for EU Taxonomy reporting because it provides high-quality, disclosure-based indicators at a competitive price while allowing the bank to retrieve only the specific datasets required for its reporting workflows. Instead of purchasing large bundled ESG data packages, NORD/LB requests and obtains EU Taxonomy data exactly for the companies it needs. The datasets are now integrated directly into the bank’s internal systems via API, replacing an earlier manual data retrieval process.

Challenge

For EU Taxonomy, NORD/LB must compile sustainability indicators for a broad range of corporate counterparties. Traditional ESG data providers typically offer large data packages covering thousands of indicators and analytics. For banks that only require a limited number of specific metrics for regulatory reporting, this model often leads to high costs and unnecessary data procurement. When NORD/LB began using Dataland, the required datasets were initially retrieved manually from the platform and transferred into the bank’s internal reporting systems. While this approach provided access to the necessary ESG indicators, it required manual downloads and additional handling steps during each reporting cycle. As ESG reporting requirements evolved, this manual workflow created additional operational effort for the reporting team.

Solution

NORD/LB adopted Dataland as its primary ESG data source for the Taxonomy KPIs of its counterparties that are subject to non-financial reporting, allowing the bank to obtain the specific datasets required for its regulatory reporting processes without purchasing large and expensive data bundles. To streamline the workflow further, the bank implemented a direct API integration with the Dataland platform. Through this integration, the required ESG datasets are automatically retrieved and transferred into the bank’s internal reporting infrastructure. This ensures that the latest available data is delivered directly to the relevant reporting processes without manual intervention.

Value

Using Dataland allows NORD/LB to combine a targeted ESG data procurement model with automated data delivery. The bank receives disclosure-based ESG indicators with transparent lineage, pays only for the datasets needed for its reporting workflows, and integrates the data directly into internal systems through API access. The transition from manual downloads to automated integration has significantly reduced operational effort for the reporting team while ensuring that ESG datasets are delivered consistently and reliably to the bank’s regulatory reporting processes.