Unified Data Platform Powering Andaria’s Fintech Growth

Key Highlights

• Accedia helped Andaria replace fragmented ERP-and-Excel reporting with a unified Azure-based data platform used across the business
• Core financial and operational processes now run on automated, trusted data, reducing manual effort and reporting complexity
• Andaria can scale its partner billing and fintech operations to higher volumes without adding proportional operational or finance capacity

About Andaria

Andaria is a UK- and EU-regulated fintech that provides embedded finance solutions, enabling non-financial businesses to integrate payment services into new and existing platforms. Its offering is designed to be scalable and configurable, helping clients reduce operational costs and improve customer experience. With over 50 trusted partnerships, support for over 25 currencies, and 99.99% platform uptime, Andaria has spent the last six years building market trust, making digital financial services accessible, simple, and transparent.

As Andaria entered its next phase of growth, it wanted to use data more strategically. The goal was to build a financial services data platform – a data warehouse and models for visualization, prediction, and analytics. It would provide timely and actionable insights to optimize efficiency and resource management, as well as strengthen their data analytics capabilities.

Andaria’s Data and Reporting Challenges

Before working with Accedia, Andaria’s operations primarily ran through an ERP system to track transactions, currencies, dates, and customer profiles across the entire workflow. Around this core, teams relied on multiple Excel files for reporting and analysis.

Over time, this created a familiar set of challenges. Without a dedicated data analytics platform, data was spread across spreadsheets. Reporting depended on manual extraction and reconciliation. It was hard to get a single, trusted view of the business, and almost impossible to build reliable predictive models on top of such a fragmented landscape.

As Andaria didn’t yet have an in-house data science team, they were looking for an experienced partner who could understand what was already there and design a solution that was both scalable and easy to maintain.

Their main requirements included:

• All critical business data consolidated in a single, centralized platform
• A solution affordable to both build and maintain over time
• Architecture designed to scale in line with business growth
• Reliable, timely insights tailored to the needs of C-level and business stakeholders

How Accedia Shaped Andaria’s Data Strategy

The first step was a deep analysis of Andaria’s existing data landscape: how the ERP structures mapped to real-world processes and how Excel reports captured additional business logic and manual workarounds. Facing fragmented data, Andaria partnered with Accedia to refine requirements into a scalable strategy. 

Along the way, Accedia identified several underlying complexities. Business logic was often incomplete or informally documented, reporting needs evolved as new possibilities became visible, and teams had to navigate a cultural shift from ERP-and-Excel thinking to a shared data platform.

As part of this strategy, Accedia evaluated several Azure-native options and built proof-of-concept implementations to compare capabilities, performance and cost. Based on these findings, we recommended Azure Databricks as the core processing platform, supported by complementary Azure services for storage, integration, security and orchestration.

Building Andaria’s Data Platform and Reporting Layer

Designing the Core Data Platform

Accedia kicked off the project by setting up data ingestion from the ERP system and multiple financial Excel sources, then added connections to several third-party systems. One example is ComplyAdvantage, used for running checks on individuals; its data now feeds into the central platform instead of sitting in isolation.

All information was brought together into a single, large data model. To design it, Accedia worked with teams across Finance, Product, Business Development, Marketing, and others, so each could explain its business logic: how specific metrics are calculated, how processes are tracked, and which views are most useful. This work turned scattered rules and local knowledge into explicit, shared logic.

Building the Reporting Layer

Together with stakeholders, Accedia defined how each team wanted information presented and what level of detail they needed, turning the solution into a practical analytics platform for the organization. For a business that previously had no structured reporting, this was a challenge. The validation process on Andaria’s side was quick thanks to their collaborative approach. Accedia worked with teams to embed the dashboards into their day-to-day work, turning them into a primary source of insight rather than an additional reporting layer.

Automation and business extensions

After reporting was in place, we focused on automation. Andaria wanted visibility into how data processing worked end-to-end: which steps run, how long they take, and where delays occur. Accedia implemented several key automations to orchestrate and monitor these flows, giving the business clear insight into pipeline status instead of relying on manual checks.

We then extended the platform to support two key business areas. The first is year-end statements, where Accedia’s team worked closely with Product and Finance on templates and regulatory requirements so that statements are generated consistently from the same trusted data.

The second is a new partner service that allows companies to onboard their employees to Andaria’s solution. For this, Accedia designed and implemented the monthly invoicing process: calculating all fees, defining revenues, and generating final PDFs.

The Azure-Powered Technology Stack Behind the Platform

The solution combines a focused data stack with Azure-native services, aligned to Andaria’s cost and scalability requirements.

Core elements include:

• Cloud and data platform: Azure Virtual Network, Azure Storage, Azure Synapse Analytics
• Data engineering and processing: Azure Databricks, PySpark, Python, SQL, Delta Tables, Azure Data Factory
• Integration and automation: Azure Logic Apps, Azure Functions, Azure API Management
• Security and secrets management: Azure Key Vault

The platform is built so it can incorporate additional data sources and services as Andaria’s business and analytics needs grow.

Business Outcomes and Operational Impact

Thanks to its collaboration with Accedia, Andaria can now make decisions using timely, trustworthy data instead of assembling it from separate spreadsheets.

Finance has seen a clear reduction in manual effort around regular reporting and statutory obligations. Month-end and year-end activities are more predictable, with fewer last-minute corrections and less time spent reconciling figures before they can be shared with stakeholders or regulators.

The new data platform has also supported Andaria’s growth plans. The partner billing service has scaled to higher transaction volumes without requiring a proportional increase in operational or finance capacity, allowing the company to serve more partners and customers while keeping costs under control.

What’s Next for Andaria’s Data Journey

Andaria plans significant investment into new business and customer acquisition, with data and analytics at the core of that strategy. The current focus is on deepening the use of the existing platform, extending reporting where it adds value, and automating more processes end-to-end.

Looking forward, the company intends to invest more in AI and data analytics in fintech together with Accedia. Thanks to the consolidated data warehouse, robust models, and established processes already in place, these initiatives can build on a trusted foundation, turning Andaria’s data into a continuing engine for smarter, faster decisions.