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Open Banking Financial Data & Analytics Consulting

Transform financial account and transaction data into practical insights for lending, risk management, customer onboarding and financial products. z3x helps financial institutions and FinTech companies design data-driven solutions, select technology partners and build reliable analytics processes using Open Banking data and other appropriate financial information sources.

Discuss your financial data project

What We Offer in terms of Open Banking Financial Data & Analytics Consulting

Financial Data Strategy & Use Case Discovery

We help companies identify where financial data can improve business decisions, customer experiences and operational efficiency. We evaluate use cases involving income assessment, cash flow analysis, transaction intelligence, financial health insights, customer segmentation, lending operations and personal finance management. Each concept is assessed against available data, business value and practical implementation requirements.

Transaction Analytics & Cash Flow Intelligence

We support the design of analytical capabilities for interpreting financial transactions, identifying income and expenditure patterns, analyzing cash flow and producing meaningful business insights. This may include transaction categorization, recurring income identification, affordability indicators, merchant analysis and financial behavior reporting, subject to data availability and lawful use.

Lending, Risk & Customer Decision Support

We help lenders and financial businesses evaluate how appropriate financial data can support onboarding, verification, risk assessment and credit-related workflows. Our approach combines business requirements, data quality, model governance, operational controls and applicable regulatory considerations. We do not treat an individual data feed or analytical score as sufficient for every financial decision.

Data Integration, Automation & Analytics Delivery

We help design the data flows and operating models required to make financial analytics usable. This includes provider selection, data normalization, processing architecture, reporting, integration with internal decision systems, monitoring, security controls and workflow automation. We can support delivery through the client's technology teams or specialist partners.

Open Banking Financial Data & Analytics Consulting

How We Work?

1

Define the Decision or Business Process

We start with the problem the company wants to solve: faster onboarding, better cash flow visibility, improved financial analysis, fewer manual checks or more consistent customer insights. We define what the data must support and how success should be measured.

2

Assess Data Availability & Analytical Feasibility

We review possible data sources, provider capabilities, coverage, quality, historical depth and lawful access requirements. We identify gaps and determine whether the proposed analytics are feasible, meaningful and proportionate to the intended use.

3

Design the Analytics Model & Implementation

We translate the use case into data requirements, business rules, validation approaches, processing flows, reporting and system integrations. Where machine learning is appropriate, we address explainability, validation, monitoring and human oversight requirements relevant to the application.

4

Validate Results & Improve Operations

We help evaluate whether the solution produces reliable and useful insights in real operating conditions. We review data quality, model or rule performance, workflow efficiency, operational exceptions and opportunities for improvement before expanding the use case.

Trusted across the financial services industry

Open Banking Financial Data & Analytics Consulting

Financial data has value only when it improves a decision

More data does not automatically mean better decisions. A transaction feed may be incomplete, historical information may be limited and account activity may not explain the full financial situation of a customer. We help businesses determine which insights are supported by the available evidence, where additional verification is needed and how to avoid overreliance on a single analytical result.

Discuss your financial data project
Open Banking Financial Data & Analytics Consulting

From raw transactions to financial intelligence

Financial analytics can connect data from account information services with product, operational and customer context. Properly designed, these processes may help identify cash flow trends, reduce manual analysis, support financial planning and improve internal workflows. z3x helps build the business logic, partner model, data architecture and implementation plan needed to turn this opportunity into a usable product.

What Our Clients Say

The z3x team demonstrated a high level of professionalism and an excellent understanding of the specifics of the FinTech and e-commerce market. The audit, detailed analysis of the competitive environment, and local customer expectations provided us with valuable data that really supported the decision-making process and planning for the launch of new services. We appreciate the strategic approach, timeliness, and quality of the materials prepared. The cooperation went smoothly and fully met our expectations.

Working with the z3x team on auditing our processes proved to be very valuable. We received a detailed analysis of existing solutions, reliable research, and specific recommendations for changes and improvements. The team demonstrated extensive knowledge of the industry and the ability to combine business and technological perspectives. The entire process ran smoothly, and the materials prepared provided a solid basis for further optimization activities.

Collaboration with Z3X Tech-Care Group helped us structure and redesign selected processes within our digital environment. Through targeted automation and operational flow optimization, we achieved improved operational efficiency and enhanced customer conversion performance.

Z3X are experts who advised us on chatbots, automation, and integrations. Thanks to their support, we eliminated many manual processes, accelerated company processes, and gained ready-to-use solutions. With their expert knowledge in AI and automation, the team led by Jakub Smeda and Karol Zielinski is highly recommended to all managers who need competent technology consulting.

Collaborating on the implementation of the debt collection game (memo) was an interesting and inspiring project for us. The solution stood out for its unconventional approach to customer communication, effectively increasing response rates in the initial phase of the campaign and demonstrating the potential of modern tools in the field of collections. We particularly appreciate the team’s flexibility and openness to tailoring the solution to our needs. The project served as a valuable complement to our standard strategies and provided us with many valuable insights that we are using to further develop our processes.

The z3x team provided comprehensive support throughout the design and development process of our new mobile application - from the initial concept, through product strategy development, to the final implementation. The collaboration covered both the technological and business aspects, with every stage carried out with great attention to detail and quality. The team demonstrated an excellent understanding of our needs, high flexibility, and the ability to efficiently address emerging challenges. The implementation of payments was just one of many well-executed components in this complex project.

Collaboration with Z3X Tech-Care Group helped us structure and clarify the direction of our next steps in preparing the organization to work with AI.

Frequently asked questions

Depending on permissions, the legal basis, providers and market, use cases may involve account balances, transaction histories, income and expenditure patterns, and other relevant financial information. Available datasets and access rights must be confirmed for each implementation.

It may help lenders better understand relevant aspects of financial behavior and cash flow. Any use in creditworthiness assessment must account for data quality, representativeness, applicable lending requirements, data protection and appropriate governance of automated decision-making.

No. Many valuable financial analytics applications can be built with clear business rules, data normalization and reliable reporting. We recommend more advanced models only where their additional complexity is justified by the use case and available data.

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Karol Zielinski
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