Our Remarkable Projects

Problem

An actuarial firm was facing multiple challenges with their cloud infrastructure:

• Limited expertise in AWS cloud architecture and best practices
• Inefficient management of cloud resources leading to higher costs
• Concerns about compliance with regional data protection regulations
• Technical team distracted from core actuarial work by infrastructure management
• Lack of clear cost visibility and optimization strategies
• Need for expert guidance on new AWS services relevant to actuarial workloads

The company required a comprehensive solution that would allow them to focus on their core business while ensuring their cloud infrastructure was cost-effective, secure, and compliant.

Solution

Implemented a multi-faceted cloud management program tailored specifically for actuarial workloads:

• Billing Management & Cost Optimization: Provided consolidated billing with optimized resource management and regular cost reporting
• Technical Architecture Services: Deployed AWS-certified solutions architects to provide expert guidance across the five pillars of the AWS Well-Architected Framework
• Compliance Framework: Created a specialized Data Protection Officer service to address regulatory requirements under relevant data protection laws
• Architecture Assessment: Conducted thorough evaluation of existing infrastructure with recommendations for improvement

Benefits

• Cost Efficiency: Optimized infrastructure spending through right-sizing and resource management
• Enhanced Compliance: Expert guidance ensuring adherence to data protection regulations
• Strategic Focus: Technical team freed to concentrate on core actuarial operations rather than infrastructure management
• Optimization Insights: Regular reporting on usage patterns and cost-saving opportunities
• Risk Mitigation: Implementation of security and disaster recovery best practices
• Architectural Excellence: Access to certified professionals for ongoing infrastructure optimization

This solution positioned the actuarial firm to leverage cloud technology more effectively while reducing costs and ensuring compliance, allowing them to focus on their specialized financial and risk assessment services.

Problem

The insurance company had significant challenges with their legacy data warehouse infrastructure. Different departments used disconnected data sources, making consolidated analysis difficult. The existing system was limited in scalability to handle growing data volumes and required inefficient manual reporting processes. There was no standardized data governance framework, making it difficult to maintain data security and compliance.

Solution

We built a comprehensive AWS-based data analytics platform that could handle all data processing and analytics needs. The platform included a secure data lake for storing and processing data, with automated ETL workflows for multiple data sources. We implemented a robust data governance framework using AWS Lake Formation to enforce security and access policies.

For the analytics infrastructure, we configured cloud-based tools and integrated business intelligence dashboards. The entire solution was built with comprehensive security measures including encryption, access policies, and audit logging.

Benefits

• 100% data integration across all sources
• 50% reduction in operational costs
• Improved data quality and consistency
• Enhanced security and compliance
• Faster time-to-insight

Problem

A financial services company was experiencing significant customer attrition, which directly impacted their revenue and long-term profitability. The company had no way to identify at-risk customers before they discontinued services, lacked analytical tools to understand churn patterns, and struggled to transform customer data into actionable insights.

Solution

We built a comprehensive customer churn prediction solution using AWS cloud services with a focus on accessibility through low-code/no-code development. The solution included a secure cloud foundation with proper security controls and networking configuration, along with a secure data pipeline to ingest and process customer data while ensuring privacy compliance.

We leveraged Amazon SageMaker Canvas to build a no-code predictive model identifying customers likely to churn, implemented interactive dashboards for business users to monitor churn predictions, and deployed the model as a secure API endpoint for integration with existing customer management systems.

Benefits

• 80% prediction accuracy for potential churners
• 15% improvement in customer retention
• 60% reduction in implementation time
• Enhanced customer insights
• Improved customer satisfaction

Problem

A local municipality was facing significant operational risks due to their reliance on a single on-premises server with no disaster recovery capabilities. The lack of backup systems and recovery procedures posed a serious threat to their ability to maintain critical public services. The organization needed a reliable, cost-effective solution that could ensure business continuity and protect their data assets.

Solution

We implemented a comprehensive disaster recovery solution using AWS Elastic Disaster Recovery (DRS). The solution created a secure, cloud-based replica of the municipality's on-premises server, with continuous data replication and automated recovery processes.

We established secure VPN connections between the on-premises environment and AWS, configured multi-AZ deployment for enhanced resilience, and implemented automated recovery procedures. The solution included regular testing capabilities without disrupting production workloads, ensuring the municipality could validate their recovery processes.

Benefits

• RTO and RPO compliant with industry standards
• 100% data protection through real-time replication
• Reduced capital expenditure for backup infrastructure
• Automated recovery processes requiring minimal IT intervention
• Regular testing capabilities without service disruption
• Scalable solution that grows with organizational needs

Problem

A private firm was facing significant operational challenges with their aging on-premises IT infrastructure. All critical applications, were running on a single server, leading to performance issues and limited scalability. The organization needed a modern, resilient infrastructure solution that could improve security, optimize costs, and enhance service delivery reliability without disrupting critical business operations.

Solution

We implemented a comprehensive AWS cloud migration strategy to modernize the firm's IT infrastructure. The solution included a distributed architecture with purpose-built cloud servers for specific applications, secure network configuration with site-to-site VPN, and database modernization to Aurora PostgreSQL.

We established a tiered storage strategy using EBS, EFS, and S3, implemented enhanced security measures including GuardDuty and WAF, and deployed comprehensive monitoring and governance solutions. The implementation followed a phased approach to ensure minimal disruption to business operations.

Benefits

• Enhanced security with enterprise-grade measures and real-time threat detection
• Significant cost optimization through intelligent resource scaling
• Improved reliability with multi-AZ deployment and automatic failover
• On-demand scalability to handle peak workloads
• Optimized performance for all application types
• Reduced IT maintenance burden with automated monitoring

Problem

A financial institution needed to transform its data analytics capabilities to gain better insights from their vast amount of customer and transaction data:

• Existing on-premises Oracle databases were siloed and difficult to analyze holistically
• Limited ability to perform advanced analytics due to infrastructure constraints
• Compliance with strict regional data privacy regulations was challenging to maintain
• Business users lacked user-friendly tools to explore data and generate insights
• Manual reporting processes were time-consuming and error-prone
• No capabilities for natural language querying of data by non-technical staff

The bank required a modern, compliant analytics solution that could consolidate data from multiple sources, enable advanced analytics, and provide intuitive tools for business users while ensuring strict data security and sovereignty.

Solution

Implemented a comprehensive cloud-based data analytics platform leveraging AWS services:

• Secure Network Foundation: Established a resilient AWS infrastructure with site-to-site VPN connectivity between on-premises systems and the cloud, multi-availability zone deployment, and comprehensive security controls
• Hybrid Data Architecture: Created a combined data lake (S3) and data warehouse (Redshift) architecture to handle both structured and unstructured data
• Secure Data Ingestion: Configured AWS Database Migration Service for secure extraction of data from on-premises Oracle databases to AWS
• Data Governance Framework: Implemented AWS Lake Formation and Glue Data Catalog for centralized metadata management and access control
• Advanced Analytics: Set up QuickSight dashboards with Amazon Q integration for natural language querying capabilities
• Data Protection: Deployed comprehensive security measures including data encryption, access policies, and audit logging

The implementation followed a phased six-week approach with a specialized team managing the requirements gathering, infrastructure setup, data ingestion, pipeline implementation, analytics configuration, and comprehensive testing.

Benefits

• Enhanced Decision-Making: Consolidated view of data enabled more informed business decisions and deeper customer insights
• Improved Accessibility: Business users could explore data and generate reports without technical assistance using intuitive dashboards
• Natural Language Querying: Non-technical staff could ask questions in plain English to get data insights using Amazon Q
• Regulatory Compliance: Maintained full compliance with data privacy regulations through advanced security and governance controls
• Data Sovereignty: Ensured regulatory compliance by maintaining synchronized data copies on-premises
• Operational Efficiency: Automated data pipelines reduced manual work and improved data refresh rates
• Scalable Foundation: Created a platform that could grow with increasing data volumes and evolving business needs

This implementation positioned the bank at the forefront of data-driven decision making in the financial sector, enabling them to better understand customer behavior, optimize operations, and develop more targeted products and services.

Problem

An enterprise experienced escalating AWS costs due to inefficient resource management across their multi-region cloud infrastructure:

• Unmanaged EC2 instances running 24/7 with minimal utilization patterns
• Legacy EBS volumes (gp2) with outdated pricing models and inefficient storage allocation
• Unattached Elastic IPs and orphaned security groups across multiple VPCs
• Inconsistent resource tagging leading to inaccurate Cost and Usage Reports (CUR)
• No implementation of AWS Cost Explorer or Budgets for cost visibility
• Underutilized Reserved Instance (RI) coverage for predictable workloads
• Excessive NAT Gateway usage and redundant VPC peering connections

With AWS spending growing 25% quarter-over-quarter and limited visibility into resource utilization metrics, the organization required a comprehensive FinOps strategy to optimize their cloud environment while maintaining service level agreements (SLAs).

Solution

Implemented a comprehensive FinOps framework leveraging AWS native services and third-party tools:

• Resource Inventory & Cleanup:
  • Deployed AWS Config for resource inventory and compliance tracking
  • Implemented AWS Systems Manager for automated instance management
  • Utilized AWS Trusted Advisor for resource optimization recommendations
  • Created custom Lambda functions for automated cleanup of unused resources
• Storage Optimization:
  • Migrated EBS volumes from gp2 to gp3 with improved price-performance ratio
  • Implemented S3 Intelligent-Tiering for cost-effective object storage
  • Configured EBS snapshot lifecycle policies using Data Lifecycle Manager
  • Deployed S3 analytics for storage class optimization recommendations
• Compute Optimization:
  • Utilized AWS Compute Optimizer for instance right-sizing recommendations
  • Implemented EC2 Auto Scaling based on CloudWatch metrics
  • Migrated workloads to Graviton2 instances for better price-performance
  • Deployed AWS Fargate for containerized workloads
• Cost Management:
  • Implemented AWS Cost Explorer for detailed cost analysis
  • Configured AWS Budgets with automated alerts
  • Utilized AWS Cost and Usage Reports (CUR) for granular cost tracking
  • Implemented AWS Organizations for consolidated billing
• Networking Optimization:
  • Consolidated VPCs using AWS Transit Gateway
  • Optimized NAT Gateway usage with centralized architecture
  • Implemented AWS PrivateLink for secure service access
  • Utilized AWS Global Accelerator for improved network performance

The implementation followed a structured four-phase approach:

1. Assessment & Planning: AWS Well-Architected Review and cost analysis
2. Quick Wins: Implementation of automated resource cleanup and cost optimization tools
3. Architectural Changes: Infrastructure modernization and service optimization
4. Sustainable Operations: Establishment of FinOps practices and continuous optimization

Benefits

• Cost Optimization: Achieved 30-40% reduction in AWS spend through systematic resource optimization and implementation of AWS best practices
• Operational Efficiency: Reduced management overhead through automation and standardized processes
• Enhanced Visibility: Implemented comprehensive cost tracking and reporting using AWS native tools
• Improved Security: Strengthened security posture through resource consolidation and standardized access controls
• Scalable Foundation: Established a framework for ongoing cost optimization and cloud governance
• Performance Optimization: Improved application performance through right-sized resources and optimized networking

The organization established a sustainable FinOps practice, enabling continuous cost optimization while maintaining operational excellence and security compliance.