Financial Services Data Platform
Unify finance, risk, customer, transaction, product, market, and operational information through governed architecture.
Financial Services Intelligence
Connect finance, risk, customer, product, compliance, operations, and market data to improve profitability, regulatory confidence, planning, and executive decision-making.
Financial institutions that connect finance, risk, customer, regulatory, and planning data can improve resilience, profitability, and decision quality. Concinnity helps create governed enterprise intelligence across those domains.
Executive priorities
Fragmented data and inconsistent definitions make it difficult to balance growth, resilience, compliance, and profitability. Concinnity helps create one governed view of enterprise performance.
Improve lineage, reconciliation, controls, reporting consistency, and confidence in regulatory submissions.
Connect credit, market, liquidity, operational, and concentration risk across portfolios and legal entities.
Understand product, customer, channel, and relationship profitability at the right level of detail.
Strengthen detection, alert prioritization, investigation intelligence, and monitoring effectiveness.
Improve segmentation, retention, cross-sell, pricing, service, and lifetime-value decisions.
Connect macroeconomic scenarios, balance-sheet assumptions, capital, liquidity, and earnings forecasts.
Executive KPI view
Illustrative metrics are shown for design purposes. Final dashboards are tailored to each institution’s business model, risk framework, governance standards, and regulatory requirements.
Concinnity financial services solutions
Unify finance, risk, customer, transaction, product, market, and operational information through governed architecture.
Connect SAP and third-party financial data while preserving business context for analytics, planning, controls, and AI.
Improve lineage, aggregation, reconciliation, exposure monitoring, risk reporting, and management oversight.
Measure customer, product, channel, and relationship economics to support pricing and growth decisions.
Connect earnings, capital, liquidity, funding, and macroeconomic scenarios through integrated planning.
Apply advanced analytics and machine learning to detection, alert prioritization, investigation, and monitoring.
Deliver trusted views of earnings, cost, margin, efficiency, capital, liquidity, and strategic performance.
Apply generative and predictive AI to service, operations, finance, risk, knowledge, and decision workflows.
Technology ecosystem
Transformation example
Management reporting depended on disconnected finance, risk, customer, and operational sources with inconsistent definitions and extensive reconciliation.
Designed a governed financial services data model, integrated enterprise information, standardized executive KPIs, and enabled profitability, risk, and planning use cases.
Faster reporting, stronger risk visibility, improved profitability insight, more connected planning, and a scalable foundation for AI-enabled financial operations.
Financial services intelligence maturity
Concinnity’s future maturity assessment will help institutions evaluate data, risk analytics, profitability, planning, AI, governance, and adoption across the enterprise.
Request an Executive AssessmentLet’s identify the data, analytics, planning, AI, and SAP opportunities that can improve profitability, resilience, customer value, regulatory confidence, and executive decision-making.
Schedule a Financial Services Strategy Session