Solution
Analytics & Data Solutions for Banking
Build analytics capabilities that give your institution real-time visibility into portfolio health, customer behavior, and regulatory metrics.
Banks and credit unions need analytics that span lending, deposits, treasury, compliance, and customer relationships. Adapter builds banking analytics platforms that unify data from core systems and deliver actionable insights to every level of the organization.
Key Challenges
- Core Banking Data Extraction Complexity
- Regulatory Reporting Requirements
- Cross-Functional Data Consistency
Overview
Analytics & Data Solutions for Banking
Banking analytics must serve a uniquely broad set of stakeholders. The CFO needs interest rate sensitivity analysis and net interest margin trends. The Chief Credit Officer needs portfolio concentration reports and delinquency trend data. The BSA Officer needs transaction monitoring dashboards and SAR filing metrics. The retail banking head needs branch performance data and product cross-sell analytics. The board needs consolidated risk dashboards and CRA performance summaries. Most banks try to serve all of these needs with a combination of core banking system reports, vendor tools, and spreadsheets, resulting in inconsistent data, manual processes, and reporting that arrives too late to influence decisions.
Adapter builds analytics platforms that consolidate banking data into a single, governed source of truth. We integrate with core banking platforms (FIS, Fiserv, Jack Henry, and others), loan origination systems, treasury management platforms, digital banking channels, and external data providers. Our data architectures use banking-specific models that properly represent accounts, customers, products, and regulatory hierarchies, ensuring that metrics are calculated consistently regardless of who is looking at the data.
From this foundation, we build analytics capabilities for each stakeholder group. This includes ALCO (Asset Liability Committee) dashboards with rate sensitivity and liquidity metrics, credit risk analytics with portfolio segmentation and stress testing support, BSA/AML monitoring dashboards with alert volume and investigation metrics, retail analytics with customer profitability and product penetration data, and board-ready risk summaries. We also build self-service capabilities that allow analysts across the bank to explore data and build ad hoc reports without relying on IT, while maintaining the data governance and access controls that banking regulators expect.
What we deliver
Solutions
- 01
Core Banking Data Integration
- 02
Automated Regulatory Reporting
- 03
Enterprise Data Dictionary and Governance
- 04
Hybrid Real-Time and Batch Architecture
Industry Challenges
Problems we solve
Core Banking Data Extraction Complexity
Core banking platforms store data in complex, proprietary schemas that make extraction and transformation difficult, especially for institutions running multiple platforms from acquisitions.
Regulatory Reporting Requirements
Banks must produce Call Reports, HMDA filings, CRA reports, and other regulatory submissions that require precise data aggregation from multiple systems.
Cross-Functional Data Consistency
When different departments calculate the same metric differently (customer count, delinquency rate, NIM), it creates confusion and undermines trust in data-driven decisions.
Real-Time vs. Batch Processing Trade-offs
Some banking analytics require real-time data (fraud monitoring, liquidity position), while others are batch-oriented (regulatory reporting, portfolio analysis), requiring hybrid architectures.
What We Build
Our approach
Core Banking Data Integration
We build extraction and transformation pipelines tailored to FIS, Fiserv, Jack Henry, and other core platforms, handling the proprietary data models and integration limitations of each.
Automated Regulatory Reporting
Our platforms automate data collection and computation for Call Reports, HMDA, CRA, and other regulatory filings, reducing manual effort and improving accuracy.
Enterprise Data Dictionary and Governance
We establish organization-wide metric definitions, data ownership, and quality standards that ensure every department works from the same source of truth.
Hybrid Real-Time and Batch Architecture
Our data platforms support both streaming analytics for time-sensitive use cases and batch processing for complex computations, unified under a single governance framework.
Results
What you can expect
70% reduction in Call Report preparation time
Automated data pipelines and pre-built computations reduce the quarterly scramble of manual data collection and reconciliation for regulatory filings.
Single source of truth across all departments
Consistent metric definitions and a unified data platform eliminate the disagreements and manual reconciliation that occur when departments use different data sources.
Daily portfolio risk visibility (from monthly)
Automated daily data processing replaces monthly manual reporting, giving credit and risk teams current visibility into portfolio health.
FAQ
Common questions
Things clients typically ask about analytics in this industry.
Ready to get started?
Tell us about your project and we will scope an engagement that fits.