Overview
Turn Fragmented Data Into Actionable Business Intelligence
Business Compass LLC is an AWS Advanced Consulting Partner and AWS Well-Architected Framework Partner with50+ AWS certifications across the team. We specialize in building enterprise-grade data warehouses, data lakes, and business intelligence platforms on AWS for organizations in Financial Services, Healthcare, Media, Power, and Public Sector industries.
The Challenge We Solve
Organizations struggle with siloed data sources, slow reporting cycles, and an inability to derive timely insights from their data. Manual processes and disconnected systems prevent leadership from making data-driven decisions. Whether you are consolidating transactional data from multiple systems, building real-time analytics pipelines, or enabling self-service reporting for business users, our team delivers production-ready solutions.
Our Engagement Process
Phase 1: Discovery and Requirements (1-2 weeks)
- Assess current data landscape, sources, and business objectives
- Identify KPIs and reporting requirements with stakeholders
- Deliverable: Data strategy document and architecture blueprint
Phase 2: Architecture and Design (2-3 weeks)
- Design data models, ETL/ELT pipelines, and storage architecture
- Define security controls, access policies, and compliance requirements
- Deliverable: Detailed technical design document and project plan
Phase 3: Implementation (4-8 weeks)
- Build and configure data ingestion pipelines, transformation logic, and storage layers
- Develop interactive dashboards and reports with drill-down capabilities
- Automate data refreshes and pipeline orchestration
- Deliverable: Deployed data platform with automated pipelines and dashboards
Phase 4: Testing, Training, and Handoff (1-2 weeks)
- Validate data accuracy, pipeline reliability, and dashboard performance
- Train your team on platform operations and self-service reporting
- Deliverable: Runbook, training documentation, and knowledge transfer sessions
AWS Technology Stack
- Ingestion: Amazon Kinesis, AWS Glue, AWS Lambda, AWS Batch
- Storage: Amazon S3 (data lake), data warehouse layer
- Processing: Amazon EMR, AWS Glue ETL
- Analytics: Amazon Athena, Amazon QuickSight
Each service is selected based on your data volume, latency requirements, and budget to deliver an optimized architecture.
Security and Compliance
We implement security best practices including encryption at rest and in transit, IAM least-privilege policies, and VPC isolation. Our team has experience with HIPAA, PCI DSS, NIST 800, and SOC 2 compliance frameworks to support regulated industry requirements.
Use Case Example
A financial services organization needed to consolidate data from multiple transactional systems into a unified analytics platform. We built an automated ETL pipeline using AWS Glue and Kinesis to ingest data into S3, applied transformation logic, and delivered interactive QuickSight dashboards with real-time KPI tracking and drill-down capabilities for executive leadership.
Client Prerequisites
- Active AWS account with appropriate permissions
- Designated project stakeholder and data subject matter experts
- Access to source data systems for integration
AWS Service Delivery Competencies
We hold AWS Service Delivery designations for Lambda, API Gateway, AWS Transfer Family, AWS Glue, AWS QuickSight, AWS Graviton, DynamoDB, and OpenSearch.
Get Started
Schedule a free discovery call to discuss your data challenges and explore how we can deliver a production-ready analytics platform for your organization.
Highlights
- AWS Advanced Consulting Partner with 50+ AWS certifications and Service Delivery designations for Glue, QuickSight, Lambda, and more. Our team brings deep expertise in Financial Services, Healthcare, Media, Power, and Public Sector industries, delivering data platforms that meet HIPAA, PCI DSS, NIST 800, and SOC 2 compliance requirements.
- End-to-end data platform delivery from discovery through production handoff. We build automated ETL/ELT pipelines using Kinesis, Glue, and Lambda, design optimized data lake and warehouse architectures on S3, and deliver interactive QuickSight dashboards with drill-down KPI tracking - all with full documentation and team training included.
- Structured engagement model with clear phases, timelines, and deliverables. Typical engagements span 8-15 weeks covering discovery, architecture design, implementation, and handoff. You receive a data strategy document, technical design, deployed automated pipelines, configured dashboards, runbooks, and knowledge transfer sessions.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
How can we make this page better?
Legal
Content disclaimer
Support
Vendor support
Getting Started
Schedule a free discovery appointment to discuss your data warehouse and analytics needs: https://businesscompassllc.com/schedule-appointment
Support Channels
- Email: contact@businesscompassllc.com
- Phone: +1 973 638 2322
- Support Portal: https://help.businesscompassllc.com/
- Website: https://businesscompassllc.com/
Engagement Support
During active engagements, our team provides dedicated project communication channels and regular status updates. Post-engagement support includes documentation handoff, runbooks, and knowledge transfer sessions to ensure your team can independently operate and maintain the delivered platform.
How to Request Help
For questions about scoping, troubleshooting deployed solutions, or requesting changes to delivered work, contact us via email or the support portal. For new engagement inquiries, schedule an appointment through our booking link above.