Analytics in Financial Services
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Enhance customer experience and operational efficiency with data and AI
A robust data fabric can help financial institutions with real-time, accurate, and actionable insights to offer personalization, be compliant to regulations as well as grow their business and create a smarter organization. Sigmoid helps global banks and financial services companies unlock new opportunities at every stage of the customer lifecycle and explore avenues for data monetization. Our end-to-end, data engineering and advanced analytics and solutions help in improving processes, manage risk, prevent fraud, and ensure regulatory compliance. Our BFSI data experts can help build robust data foundations and predictive ML models to increase your profitability.
Deploy financial analytics capabilities and enable a data-driven organization
- Centralized data repository from siloed sources
- Data transformation and harmonization
- Data governance and cataloging
- Highly available and fault tolerant architecture
Check out our blog on real-time data warehousing with Apache Spark and Delta Lake for financial institutions.
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- Marketing attribution and campaign optimization
- Real-time decisions on lead buying and servicing
- 1:1 personalized email marketing
- CLTV optimization
Explore how our ML solution for lead buying delivered an 80% precision improvement for a life insurance brokerage firm.
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- Faster and secure data processing pipelines
- Manage and analyze compliance data
- Real-time monitoring and anomaly detection
- Optimize costs and reduce time to compliance
Find out how we automated risk scoring to reduce risk assessment time from 3 days to 1 hour, improving financial crimes compliance.
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- Data and analytics roadmap on the cloud
- Migration from on-premise and legacy systems
- Seamless hybrid and multi-cloud adoption
- Optimize existing cloud performance and costs
Explore how Sigmoid’s data migration best practices for Snowflake delivered 10x faster insights for leading Fintech company.
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Data Management
- Centralized data repository from siloed sources
- Data transformation and harmonization
- Data governance and cataloging
- Highly available and fault tolerant architecture
See how we automated daily data ingestion from 100+ vendors to drive real-time analytics and BI reporting.
Read case studyCustomer Experiences
- Marketing attribution and campaign optimization
- Real-time decisions on lead buying and servicing
- 1:1 personalized email marketing
- CLTV optimization
Explore how we delivered a 7% sales lift through personalized messaging for the 12 MN+ customer base of a leading enterprise.
Read case studyRegulatory Compliance
- Faster and secure data processing pipelines
- Manage and analyze compliance data
- Real-time monitoring and anomaly detection
- Optimize costs and reduce time to compliance
Find out how we automated risk scoring to reduce risk assessment time from 3 days to 1 hour, improving financial crimes compliance.
Read case studyCloud Transformation
- Data and analytics roadmap on the cloud
- Migration from on-premise and legacy systems
- Seamless hybrid and multi-cloud adoption
- Optimize existing cloud performance and costs
Know how we helped a client save $2.5 MN annually by migrating on - prem systems with 150 Mn+ rows of data to a cloud platform.
Read case studyFinancial Analytics Services
Data Collection and Analysis
Gathering and analyzing pertinent financial data, including market prices, interest rates, economic indicators, and historical asset performance. This data forms the foundation for comprehensive financial analysis.
Financial Risk Modeling
Choosing appropriate mathematical models (e.g., VaR, stress testing, Monte Carlo simulations) to represent different types of financial risks, and calibrating these models using historical data to accurately capture the underlying dynamics.
Fraud Detection
Utilizing comprehensive data mining, anomaly detection algorithms and advanced ML models for behavioral analysis, identity verification, and transaction monitoring to mitigate associated risks and effectively safeguard financial institutions.
Trade Surveillance
Monitoring market transactions and trading activities to ensure regulatory compliance by leveraging real-time data analysis, pattern recognition, and surveillance tools to detect market abuses and identify potential trading irregularities.
Why Choose Sigmoid?
Establish a centralized data repository
from previously siloed sources, ensuring data is easily accessible and usable
Enable deeper understanding of the data ecosystem
and campaign optimization to maximize ROI for financial services
Gain competitive edge in the marketplace
with our robust data governance and cataloging practices to maintain data quality and compliance.
Customer success stories
Enhanced trade surveillance and regulatory compliance with 4x faster, efficient data pipelines for a global investment bank
- Processed 100 MN rows of asset class and market data daily
- 66% reduction in data processing time for trades
- 65% reduction in false alerts
Automating financial crime compliance with near real-time automated data ingestion
- 3 days to 1 hour improvement in risk assessment time
- Near real-time flagging of data anomaly
- 1.5x reduction in operational cost
Implemented best practices to data migration on Snowflake, delivering 10x faster insights
- Real-time query resolution
- 10x improvement in performance of data pipelines
- 90% cost reduction in running complex analytical queries
How to enhance cloud data security for financial institutions
Sigmoid’s POV on financial crimes - detection and prevention
