Overview

For central banks and other financial authorities, timely access to consistent, high-quality and well-governed data is critical to effective supervision, risk monitoring, and policy decision-making. As supervisory mandates expand in scope and complexity, authorities increasingly rely on data architectures that support end‑to‑end data ingestion, validation, storage, analytics, and visualisation. A centralized data warehouse (CDW) is a core component of such architectures, enabling the consolidation of heterogeneous data sources into a single environment and supporting advanced, risk‑based supervision. Beyond technical integration, a CDW plays a critical role in strengthening data governance; by centralizing supervisory and operational data, it provides a foundation for consistent data definitions, clear data ownership, standardized quality controls, and auditable data lineages. These elements are essential to ensure data integrity and accountability across the supervisory data lifecycle, and to enable scalable analytics, and the future adoption of advanced suptech tools.

The National Bank of Moldova’s (NBM’s) existing IT infrastructure consists of multiple legacy and sector-specific platforms that have evolved over time to support different supervisory and operational functions. While these systems are effective for individual use cases, their limited interoperability makes it challenging to obtain a holistic, cross‑sector view of supervisory data and constrains the ability to perform integrated analysis, cross‑report consistency checks, and forward‑looking risk assessments.

In response, NBM has begun exploring the potential development of a centralized data warehouse as part of a broader supervisory data modernization agenda. The objective is to consolidate data from across supervisory, regulatory, and operational systems into a unified data layer that supports consistent access, improved data quality, and enhanced analytical capabilities across the institution.

As part of the Public-Private Secondments for SupTech Innovation (PPSSI) initiative, the National Bank of Moldova partnered with a team from DANA to explore how a centralized data warehouse could be designed and developed to support NBM’s supervisory and operational data requirements. The secondment project focused on foundational research, peer learning, and hands-on technical experimentation. DANA’s work was designed as an exploratory effort to inform NBM’s internal decision-making on potential pathways toward a future centralized data architecture. This collaboration reflects DANA’s ongoing commitment to advancing safe tech, and ensuring technology is developed and deployed. Drawing on experience in operating secure, scalable financial infrastructure, DANA contributed technical perspectives on building resilient data architectures that prioritize data integrity, confidentiality, and responsible use.

Research and Initial Assessment

At the outset of the secondment, the DANA team conducted a research phase focused on assessing the current state of NBM’s data environment and reviewing possible paths toward the development of a CDW. The secondment team reviewed and synthesized relevant internal documentation, conducted research on global supervisory data architectures, and participated in structured peer learning with other financial authorities that have implemented similar solutions.

NBM’s supervisory and operational data environment is characterised by fragmented, siloed systems with limited integration across platforms. Based on available documentation and discussions with NBM counterparts, the DANA team gained an initial understanding of NBM’s existing data processes. Through this work, the team identified several key challenges, including a heavy reliance on manual data extraction, calculation, and reporting; limited interoperability between core supervisory systems; and the absence of integrated monitoring capabilities. These factors highlighted opportunities to strengthen data consistency and enhance analytical capabilities through a more integrated data architecture.

In parallel, the DANA team reviewed centralized data warehouse approaches adopted by other central banks and supervisory authorities and engaged in structured learning sessions with peers that have implemented centralized data warehouse initiatives. These activities helped inform early thinking on architectural options that could be adapted to NBM’s institutional, regulatory, and technical context.

Solution Approach

Following an assessment of NBM’s existing data environment and operational needs, the DANA team recommended a modular technology stack to support a future data warehouse and analytics capability:

• ETL and data integration: Talend
• Data warehouse platform: Cloudera
• Data analytics and visualisation: Tableau

The DANA team provided initial licensing/hardware cost estimates for the proposed stack and discussed feasibility with the NBM team. From there, NBM obtained trial licences for the recommended software, and the teams jointly set up an on‑premise sandbox environment using an NBM data sample.

Within this controlled sandbox environment, the DANA team:

• Configured the Talend–Cloudera–Tableau stack on NBM’s infrastructure;
• Conducted an end‑to‑end supervisory data use case, from ingestion and transformation to analytics and visualisation;
• Demonstrated how automated workflows could replace manual calculations and reporting steps; and
• Developed step‑by‑step technical documentation to support internal knowledge transfer and future experimentation.

The project concluded with a live demonstration using sample data, allowing the NBM team to ask questions and discuss practical considerations for future scaling.

In reflecting on the project, the DANA technology team remarked “Rather than delivering a fixed solution, we created a safe and trusted space for experimentation, enabling supervisory teams to explore modern data workflows while prioritizing safety, data protection, and governance. Through hands-on collaboration in a secure sandbox environment, we translated architectural concepts into practical processes and strengthened shared understanding of responsible data management, including ownership, quality, and operational resilience. This learning-driven approach reflects DANA’s commitment to building trusted, secure, and future-ready supervisory systems.”

Outcomes and Value

The secondment delivered several tangible outcomes for NBM:

• Greater insight into the technical and organisational requirements for a centralized data warehouse;
• Practical insights into how modern ETL, data management, and analytics tools could reduce manual effort and improve data consistency;
• A clearer understanding of data integration challenges and dependencies across existing systems; and
• A sandbox environment and technical documentation that NBM can reuse for continued internal capacity building.

Reflecting on the collaboration, Mihai Ursu, Chief Digital Officer, Department of Information Technology, at NBM noted “For an institution at an early stage of its data architecture transformation, having access to hands-on technical expertise and the experience of peer central banks through this initiative proved very valuable. The sandbox environment we built together now serves as both a proof of concept and a practical reference point for our upcoming pilot project.”

The project equipped NBM with the knowledge and practical experience needed to make informed choices about the next phase of its data transformation journey.

Next Steps

Building on the outcomes of the secondment, NBM plans to conduct a pilot in 2026 to further experiment with the DANA team’s recommended software stack and architectural approaches. Lessons learned from the pilot will inform a broader supervisory data transformation and the development of a formal data governance framework to be implemented alongside any future centralized data warehouse.

Project Partners

DANA

DANA is a digital wallet-based technology financial company that provides payment platforms and financial services in Indonesia. Since its launch in December 2018, DANA has now reached more than 200 million users in Indonesia. DANA provides complete digital transaction solutions that are safe, easy and convenient for users, merchants and financial institutions. The DANA solution, developed by leading financial technology engineers in Indonesia, aims to advance and accelerate financial literacy and inclusion in Indonesia. Apart from empowering digital finance, DANA also seeks to encourage Indonesian society through impactful social initiatives that focus on empowering women and preserving the environment.

Seconded experts from DANA Indonesia:

• Bimandika Hasanah, IDC System Engineer Lead
• Winadi Wiratama, Senior Software Development Engineer
• Alfredo Juan Pratama, Senior Software Development Engineer in Test
• Ahmad Irfaan Hibatullah, Software Development Engineer

National Bank of Moldova (NBM)

The National Bank of Moldova is the central bank of the Republic of Moldova. NBM is responsible for conducting monetary policy, safeguarding price and financial stability, and regulating and supervising the financial sector. Its supervisory mandate covers banks, non‑bank credit organisations, savings and loan associations, payment service providers, and e‑money issuers, as well as oversight responsibilities related to financial market infrastructure and, more recently, insurance and non‑bank financial sectors.

NBM plays a central role in prudential supervision, macroprudential oversight, and the implementation of international regulatory standards. In recent years, the institution has prioritised the modernisation of its supervisory processes, including the adoption of suptech and data‑driven approaches, to support risk‑based supervision across an increasingly diverse financial system.

NBM team included:

• Efimia Martinescu - Head of Strategic Planning & Management, Strategy & HR Department
• Eugeniu Aftene - Director, Statistics & Data Department
• Ion Pascaru - Head of ICT Organisation & Management, IT Department
• Mihai Ursu - Chief Digital Officer, IT Department
• Valeriu Iordachi - Head of ICT Infrastructure, IT Department
• Victor Ababii - Head of Data Collection & Processing, Statistics & Data Department

Public-Private Secondments for SupTech Innovation

Co-led by the World Economic Forum and the Cambridge SupTech Lab, this initiative connects technical experts from the private sector with financial authorities through short-term secondments. The goal is to accelerate innovation in supervision and regulation by solving practical challenges with cutting-edge technology.