Financial Services · Banking / Securities / Insurance / Consumer Finance
Make financial data truly serve business decisions.
Arisyn Semora combines NL analysis, semantic governance, and multi-table reasoning—turning cross-system, cross-metric, cross-team analysis from “submit & wait” to “ask & get.”
I From complex data to instant decisions—no more long waits for requests, SQL, or reports.
High-risk segment
(last 30 days)
Real-time
analysis
12,486
Auto-aggregates customer, credit, overdue, and transaction data—outputs risk tiers
Business query
NL Query
“Show risk distribution of clients with loans >1M in last 3 months and overdue records.”
Core system
Core / Credit / Trade
Client tier / AUM
Credit system Loan balance / credit limit
Transaction system Fund flows / txn frequency
— Industry pain points
Real challenges in financial data use
These issues drain resources daily—hurting decision speed and risk control.
🔗
Hard cross-system queries
Full risk checks need core, credit, trading, and anti-fraud data.
Case
When assessing a corporate client’s credit, analysts log into 4 systems, export data, and merge in Excel—takes 2–4h, error-prone.
🔀
Biz–data disconnect
A simple data query typically takes 1–3 days from request to delivery.
Case
PM asks churn (6 mo): request → queue (2d) → SQL (1d) → confirm (0.5d) → revise (0.5d). Data on day 4—window missed.
⏰
Lagging risk detection
Signals show up too late—miss the intervention window.
Case
A customer looks normal in core, but overdue in credit. With T+1 sync, risk is found on day 5—overdue already >30 days.
📊
Inconsistent metrics
Same metric defined differently—data conflicts, low trust.
Case
“Corp deposits”: core includes margin; retail excludes; risk removes related-party; KPI adds back. Quarter-end—numbers never match.
— Use cases
Solve real business problems efficiently
Explore 3 common finance scenarios—see how Arisyn Semora cuts hours to seconds.
01
High-risk scenarios
Smart risk analytics
📋
Business problem
Risk teams need regular portfolio reviews, but rely on data teams for complex SQL across systems—slow, heavy, not real-time for emerging risks.
😤
Traditional approach
Data teams write complex multi-table JOIN SQL (customer, loans, repayments, credit data). One query takes 4–8h (build + debug + run). Any change → rebuild.
✨
Traditional approach
Data teams write complex multi-table JOIN SQL (customer, loans, repayments, credit data). One query takes 4–8h (build + debug + run). Any change → rebuild.
✨
Key capabilities
• Auto cross-table joins (customer + loans + repayments + credit)
• Smart entity & relationship detection
• Support complex conditions & nested queries
🔍
Analytics Platforms
Example query
Input
“Find risk distribution of clients with loans >1M in last 3 months and overdue records; group by client tier and loan type, show default rate.”
Auto-generated SQL
SELECT c.customer_level, l.loan_type, COUNT(DISTINCT c.customer_id) AS total_customers, COUNT(DISTINCT CASE WHEN r.overdue_days > 0 THEN c.customer_id END) AS overdue_customers, ROUND(COUNT(CASE WHEN r.overdue_days > 0 THEN 1 END) * 100.0 / COUNT(1), 2) AS default_rate FROM customer c JOIN loan l ON c.customer_id = l.customer_id JOIN repayment r ON l.loan_id = r.loan_id WHERE l.loan_amount > 1000000 AND l.loan_date >= DATE_SUB(CURRENT_DATE, INTERVAL 3 MONTH) GROUP BY c.customer_level, l.loan_type ORDER BY default_rate DESC;
Results
2,847
Qualified clients
12.3%
Overall default rate
⚡ Query time: 0.82s
— Core value
Quantifiable business impact
Metrics validated from real deployments.
⚡
5-10×
Faster queries
From hours to seconds; data team response from 2–3 days to real-time
📉
80%+
Less SQL reliance
Biz users handle 80%+ queries; data teams focus on high-value modeling
🛡️
→Real-time
Risk response
From T+1 lag to real-time alerts—earlier risk intervention
✓
60%+
Better data consistency
Unified semantics remove cross-system metric conflicts—reconciliation gaps drop significantly
— Customer value
Role-based value
Arisyn Semora delivers targeted value for each key role in financial institutions.
Business users
No more barriers to data analysis
No more long waits or complex back-and-forth—just ask and get data.
✓ No SQL needed—just ask
✓ Unlimited iteration—instant results
✓ Auto charts—ready for reporting
✓ 24/7 access—no data team dependency
Data teams
Free from repetitive work
Shift from manual queries to high-value modeling.
✓ Cut 80%+ repetitive SQL
✓ Reusable semantics-auto-sync metric changes
✓ Early quality control—traceable data issues
✓ Focus on modeling & data governance
Management
Faster decisions, lower risk
Data-driven decisions with real-time risk response.
✓ Real-time dashboards—clear at a glance
✓ Live risk alerts—shift from lagging to proactive
✓ Better consistency—more reliable decisions
✓ Faster regulatory reporting—lower compliance risk