Transform Insurance Data Analytics with InstaQuery

Overview

Gen-AI Powered Snowflake Workload Optimization – Proven to Cut Costs & Accelerate Insights

 

Here’s how InstaQuery solves critical challenges across the insurance value chain, with real numbers that matter:

70% Faster Queries |  30–70% Cost Savings | ROI in <90 Days

Claims Processing & Fraud Detection

Challenge
Insurance companies run large, complex queries to validate and analyze claims. Fraud detection requires scanning across years of data, often creating slow and expensive workloads.

InstaQuery Impact
  • 60–80% faster claims analytics – settlements go from hours to minutes
  • 30–50% compute cost savings, freeing budget for additional fraud models
  • Near real-time anomaly detection, reducing false negatives by 20–30% and recovering millions annually
Electronic Health Records (EHR) Analytics

Challenge
Complex joins across multi-source EHR systems slow down patient care analytics.

InstaQuery Impact
  • Delivers near-real-time insights from patient data (latency reduced from minutes to seconds).
  • 40-80% performance boost on critical queries — enabling physicians to act faster.
  • 20–30% lower Snowflake spend, even as data volumes grow.
Actuarial Modeling & Risk Analysis

Challenge
Actuarial teams run heavy simulations and scenario models to price products and assess risk. Unoptimized queries delay results and inflate infrastructure costs.

InstaQuery Impact
  • 2–3× faster model runs, enabling more frequent pricing iterations
  • 15–25% improvement in pricing accuracy, reducing loss ratios
  • Cuts infrastructure spend by 30–50%, keeping actuarial teams within budget
Customer 360 & Personalization

Challenge
Building unified policyholder profiles involves joining disparate datasets (claims, policies, interactions, external risk scores). Queries are often complex and slow.

InstaQuery Impact
  • Reduces query latency from minutes to seconds, delivering a real-time view
  • Drives 10–15% uplift in cross-sell and upsell campaigns through faster personalization
  • Improves renewal targeting, boosting retention by 5–8%
Regulatory Reporting (NAIC, IFRS 17, Solvency II)

Challenge
Insurers must produce detailed financial and solvency reports under strict deadlines. Long-running queries can risk compliance breaches.

InstaQuery Impact
  • 70–90% faster report generation, eliminating weekend fire drills
  • >99.9% output fidelity – optimized query must match baseline results
  • Prevents compliance penalties costing $500K–$2M annually 
Underwriting & Pricing Analytics

Challenge
Underwriters rely on large datasets (customer history, risk scores, third-party data) to price policies. Slow queries delay underwriting decisions and impact customer experience.

InstaQuery Impact
  • 50–70% reduction in query execution time, enabling same-day issuance
  • Improves straight-through processing rates by 20–30%
  • Enhances customer satisfaction scores (NPS) by 5–10 points
Operational Efficiency & Cost Management

Challenge
Insurers manage massive amounts of structured and unstructured data for policies, claims, and risk. Inefficient queries inflate Snowflake spend significantly.

InstaQuery Impact
  • 30–70% reduction in Snowflake compute spend, delivering immediate ROI
  • Frees 100s of engineering hours per month for innovation
  • Achieves net-positive ROI in <90 days, starting with first optimized queries

Bottom Line for Insurance

Benefit Impact
Cut Snowflake Costs
30-70% cost reduction ( you pay 40% of your savings)
Identify Inefficient Queries
30-60% of all queries auto-optimized
Improve Fraud Detection
20–30% fewer false negatives, millions recovered annually
Engineering Efficiency
Frees 100s of hours/month
ROI Timeline
<90 days (net positive ROI from month 1)

InstaQuery for Financial Services

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Transform Healthcare Data Analytics with InstaQuery

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