Skip to content

Harness data and AI for smarter decisions and greater automation

Learn More
Our Services

Modernize your data estate and operations and get equipped with capabilities that allow efficient and effective leverage of analytics and data.

Our Services

Data Integration

Move, transform, and orchestrate data, faster

Areas where we can help

Modern Data Foundation

Modern BI & Analytics Foundation

Data Operations

BI/GenBI & Reporting (Including Regulatory Reports)

Interoperability

Compliance (High Quality Data Compliance)

ML Model Development and Training

Modern Data Foundation

Effectively acquire, transform, integrate, store, and consume enterprise-wide data by establishing a cloud-native, resilient and secure data estate

Areas where we can help

Areas where we can help

Data integration architecture:
Leverage automated integration of data from internal and external sources with robust pipelines.

High performance data architecture:
Build your infrastructure on cutting-edge technologies and architecture best practices, to meet evolving needs.

Master Data Management:
Establish a single source of truth for your multi-domain data to get a unified, trusted business view.

Data security, quality and Integrity:
Define and implement rules, processes and governance mechanisms to ensure right quality data is available securely for data consumers.

Modern Data Foundation

Effectively acquire, transform, integrate, store, and consume enterprise-wide data by establishing a cloud-native, resilient and secure data estate

Areas where we can help

Areas where we can help

Data integration architecture:
Leverage automated integration of data from internal and external sources with robust pipelines.

High performance data architecture:
Build your infrastructure on cutting-edge technologies and architecture best practices, to meet evolving needs.

Master Data Management:
Establish a single source of truth for your multi-domain data to get a unified, trusted business view.

Data security, quality and Integrity:
Define and implement rules, processes and governance mechanisms to ensure right quality data is available securely for data consumers.

Modern BI & Analytics Foundation

Efficiently and swiftly explore and analyze enterprise data to enable data-driven insights, and smarter decisions with a robust and flexible infrastructure

Areas where we can help

Data Integration architecture:
Leverage data from any source (via simple JIT, enterprise-wide) to surface metrics and business insights

High performance warehousing architecture (EDW/BDW):
Get a complete view and achieve efficient data management while meeting operational and analytical data needs of individual service lines, functions and business process.

Data security, quality and Integrity:
Ensure relevant data of right quality is available securely to power BI, analytics, reporting needs.

BI & Analytics foundation:
Develop a foundation to democratize data analysis, leverage BI at scale, and enable GenBI capabilities

Data Operations

Effectively run and operate your enterprise data infrastructure to ensure its stability, availability, security and resource-efficiency for the business

Areas where we can help

Run & Operate Your Data and Analytics Foundation:

Helpdesk, support, and incident management

Performance optimization

Cost management and capacity planning

User administration and workspace management

Data security and encryption

Backup & recovery

Maintenance and Support:
For implemented pipelines, reports and daily process- enhancements, production support, and defect fixes.

MLOps:
Manage and govern the development, leverage and optimization of ML models.

BI/GenBI & Reporting

Helping enterprise users to derive insights from data to drive business performance as well as to meet reporting needs with cutting-edge Insurance specific BI capabilities and assets

Areas where we can help

BI discovery:
Design and structure a enterprise-wide BI roadmap with a collaborative discovery process to understand, analyze the BI needs across service lines, business process and functions

Accelerated BI development for Insurance

Pre-built BI semantic models:
Enabling speed to insights and relevant analytics

KPI and metrics library:
Accelerate the productivity of BI, Analytics and reports development with a library of granularly pre-defined KPI’s/metrics

Pre-built dashboard templates:
that can be customized to provide tailored insights

Reporting solutions:
Standardized templates to seamlessly generate reports for the board, senior management, operational reviews, etc

GenBI:
Enable users to quickly and easily surface insights and reports from data, with natural language queries.

Interoperability

Securely share reliable information with partners, customers, regulators, third-parties in appropriate formats to drive industry-compliant communications, efficiency and higher-quality service offerings

Areas where we can help

  • Adopt industry standards
    Help financial services firms with industry-standard data formats and schemas to facilitate seamless data exchange and integration.
  • Data sharing solutions
  • Data exchange:
    Share data internally and externally with high-performance (SFTP, REST, WebSockets, etc.) mechanisms.
  • Data API:
    Build, use and manage APIs to securely share data with third party partners, regulators and peers.
  • Report sharing solutions
    Automate the distribution of reports between organizations (bordereaux reports, statutory reports, etc.) with rigid controls.

Interoperability

Securely share reliable information with partners, customers, regulators, third-parties in appropriate formats to drive industry-compliant communications, efficiency and higher-quality service offerings

Areas where we can help

Adopt industry standards:
Help insurers with industry-standard data formats and schemas to facilitate seamless data exchange and integration.

Data Sharing solutions

Data exchange:
Share data internally and externally with high-performance (SFTP, REST, WebSockets, etc.) mechanisms.

Data API:
Build, use and manage APIs to securely share data with third party partners, regulators and peers

Report Sharing solutions:
Automate the distribution of reports between organizations (bordereaux reports , statutory reports , etc) with rigid controls.

Data Compliance

Govern and manage the security, compliance and access of all your enterprise data to meet regulatory standards with robust compliance monitoring

Areas where we can help

Compliance management
Maintain and update policies, procedures and practices for regulatory compliance (e.g.: GDPR, CCPA, GLB, etc.) and privacy regulations

Data Security
Implement role-based access controls for sensitive data and encryption to protect data at rest and in transit.

Data Retention and Disposal Tools
Automate data retention schedules and ensure timely data disposal, complying with legal requirements.

Compliance Audits & Reporting
Track data access, changes, and usage in real-time across the organization to provide detailed audit trails for compliance reporting.

Continuous Monitoring and Improvement
Track compliance with automated tools, assessments and implement improvements based on audit findings and regulatory changes.

ML Model Development and Training

End-to-end solution approach from defining the analytics problem statement, to assembling and exploring the required data, to designing and operationalizing the ML solution

Areas where we can help

Areas where we can help

  • AI/ML use case discovery
    We work with your leadership to understand your business goals, identify and prioritize high-value use cases across your organization and develop a roadmap
  • AI/ML Model development and training

Creating modelling inputs
Acquire and process high quality data, design and engineer new features.

Model build
Select appropriate ML models suited for the use case, leverage training datasets to train the models.

Model validation
Use evaluation metrics to measure the model efficacy, refine and fine tune the model through experimentation for optimal performance.

Model implementation
Adapt models with implementation constraints and business rules and define requirements for model deployment.

ML Model Development and Training

End-to-end solution approach from defining the analytics problem statement, to assembling and exploring the required data, to designing and operationalizing the ML solution

Areas where we can help

Areas where we can help

AI/ML use case discovery:
We work with your leadership to understand your business goals, identify and prioritize high-value use cases across your organization and develop a roadmap

AI/ML Model development and training:

Creating modelling inputs:
Acquire and process high quality data, design and engineer new features.

Model build:
Select appropriate ML models suited for the use case, leverage training datasets to train the models.

Model validation:
Use evaluation metrics to measure the model efficacy, refine and fine tune the model through experimentation for optimal performance.

Model implementation:
Adapt models with implementation constraints and business rules and define requirements for model deployment.