Banking & Financial Services
Banks are among the most instrumented businesses there are, and often the least able to see themselves. Customer onboarding, KYC, payments and exceptions handling run through workflow, core-banking and case-management systems, with hand-offs between systems and people that no single team can observe end to end. Delays, rework and compliance gaps tend to be reported after the fact — if they are reported at all.
Customer data has the same shape: high transaction volumes spread across heterogeneous cores, card and loan platforms and channels, with complex central-bank rules layered on top. Marketing, risk and finance each need a consolidated, governed view, and the integration underneath it needs to be cheap to run and safe to change.
Where data pays back in retail & commercial banking
Processes nobody can see end to end
Onboarding, KYC and exceptions handling cross many products, systems and teams — so where cases wait, loop or fail compliance is invisible until a customer or a regulator notices.
Customer data across many databases
Cores, cards, loans and channels hold the same customer in different shapes and volumes, making segmentation, campaign measurement and a single customer view hard to build and harder to trust.
Regulatory reporting on fragile plumbing
Central-bank and compliance reporting implemented on legacy integration tools that are costly to change and easy to break.
Legacy integration cost
Data-integration code bases that have grown for years, with support and enhancement costs to match and little stability across disparate systems.
Services for retail & commercial banking
- Process Mining & Intelligence Reconstruct onboarding, payments and exceptions processes from the event log — every case, activity and hand-off — and quantify bottlenecks, rework and conformance by product and team.
- Data Engineering & Warehousing Customer and marketing data marts that consolidate cores, cards, loans and channels at transaction volume, with governance designed in.
- Integration & Migration Migrate the data-integration layer to a platform with lower support cost and more stable consolidation across disparate systems.
- Business Intelligence & Self-Service Campaign visibility, customer segmentation and regulatory reporting on governed models, with self-service for marketing, risk and finance teams.
- Data & AI Strategy A roadmap and operating model for the customer, risk and regulatory data estate — roles, ownership and controls before the build.
- Managed Analytics The BI and data platform run, monitored and improved on subscription, so the bank’s teams focus on the insight.
Outcomes
What changes
- An objective view of where processes actually stall, by product and by team.
- Compliance and hand-off failures detected from the data rather than reported after the fact.
- One governed customer view serving marketing, risk and regulatory reporting.
- A more stable integration layer at lower enhancement and support cost.
Questions we're asked in retail & commercial banking
High-volume, multi-system processes with hand-offs: customer onboarding, KYC, payment exceptions, disputes and claims. If the process has a case identifier and timestamps in your systems, it can be mined.
Yes. We work directly with core-banking, workflow and case-management systems — pulling event data for process intelligence and transactional data for marts — without affecting operations.
As governed rules in the integration and data-mart layer, so central-bank and compliance reporting runs from the same consolidated data as marketing and management reporting.
Access controls, data ownership and quality rules are designed into the platform as part of the governance model, and every engagement runs under your security policies.