Sectors · Banking, Finance & Insurance
Datacation is a data and AI partner for banking, investment and financial operations teams seeking reliable insight and useful tools.
A trusted, well-known and innovative partner
With ING Wholesale Banking, we simplified fragmented customer data and built dashboards for Front Office teams. At Rabobank, our teams have worked on data engineering, a workforce-insights Quick Scan and interim support for transaction monitoring. We have also supported investment-fund scenario analysis and debt-collection analytics.
That experience helps us start with the decision, not the technology. We establish which data and definitions people rely on, where information diverges and what a specialist must be able to check. The result can be a clearer reporting foundation, a tested analytical model or a focused assessment. Each is built around the work your team actually does, not an unsupported promise of automated decisions.
Stage 01
We start with the people who need an answer: relationship managers, analysts, compliance specialists or case handlers. Together we define a specific decision, the value of improving it and the consequences of a wrong answer. We shortlist use cases before proposing a dashboard, model or document assistant.
Stage 02
We trace the selected question back to its source systems, definitions, access rules and existing checks. In banking, a customer measure may differ across locations; in fund analysis, assumptions determine a scenario. We agree which data is usable, what needs reconciliation and who must validate the interpretation.
Stage 03
We build the smallest defensible solution: a shared data model and dashboard, a documented scenario analysis or a prototype that helps staff find information. We test results against agreed examples and keep assumptions and limitations visible. Where people are affected by a prediction, human review and appropriate safeguards are part of the design.
Stage 04
We test the result with the people who will use it, agree ownership of definitions and data quality, and document when to question an output. For sensitive financial workflows, we make access, monitoring and escalation explicit. Adoption means the team can use and maintain the tool responsibly, not that every decision becomes automatic.
Pick a subsector to see the work behind it.
ING Wholesale Banking had customer data spread across sources. We delivered a simplified data model and interactive Power BI dashboards for Front Office teams.
Long-term data engineering at Rabobank, making data from multiple work systems usable for analysis, including analysis of datasets on a global data platform.
We helped work out risk, performance and cost analyses for the fund’s key information document.
A data science layer and models for case recoverability and de-duplication, supporting case handlers with scattered case data.
Our offering
Reliable decisions need more than a dashboard or an AI model. We help you choose a focused question, reconcile the underlying information, test a practical solution and bring it into a workflow with clear ownership. Our work spans a published banking reporting case and internal assignments in banking, fund analysis and collections.
What we build
Concrete examples of what we build in this sector.
Bring customer information from separate sources into a documented model, so teams can compare figures and investigate differences across locations.
Turn agreed definitions into Power BI views that help authorised teams explore customer data without relying on inconsistent local extracts.
Structure assumptions and calculations for fund scenarios, making it easier for specialists to examine risk, potential outcomes and costs.
Examine how workforce information is defined and available, then outline a feasible route to clearer insight before proposing implementation.
Explore models that help staff prioritise cases using documented inputs and reviewable outputs, without replacing human decisions.
Test search, extraction or summaries on approved sources, with access controls and a human check before the output is used.
Proven in practice
ING Wholesale Banking's Chief Commercial Office worked with customer data from different locations and sources. Datacation simplified the data model and, together with ING's domain experts, developed interactive Power BI dashboards. Front Office teams use them globally for more consistent insight.
Why Datacation
We're not a generalist consultancy with an AI badge bolted on. We are a dedicated data & AI partner: econometricians, mathematicians and engineers who build things that survive contact with production.
Backgrounds in AI, data science, econometrics and mathematics. Many of our people hold PhDs and stay connected to leading research groups and universities.
Your domain knowledge plus our technical expertise. We build alongside your team, transfer the knowledge and leave you in control of what we make together.
No endless plans, but concrete steps. We start small, prove value fast and scale what works, from a first Quick Scan to a platform your whole organisation runs on.
Technology only works when people actually use it. We speak the language of the boardroom and the shop floor, and we design for adoption from day one.
Safe, explainable and manageable AI, with the governance, policies and change management to match. We help you raise adoption without lowering the bar.
Tell us what you are working on. We will get back to you and explore together what data and AI can do for you.
