Requirements & Goal Mapping
We start by understanding your business goals, KPIs, current data environment, and what you want to achieve with analytics. This helps us define a clear, aligned roadmap.
Solution Architecture Design
Based on your needs, we design a scalable AWS data architecture — selecting the right mix of services like Redshift, Glue, Kinesis, S3, and Athena to handle your data volume, speed, and complexity.
Data Integration & Pipeline Development
We connect your existing systems (ERP, CRM, web apps, APIs, etc.) and build ETL/ELT pipelines using tools like AWS Glue or Data Pipeline — ensuring your data is clean, organized, and ready for analysis.
Data Storage & Processing Setup
We configure secure, high-performance storage — setting up data lakes with S3 or warehouses with Redshift. For big data processing, we use EMR with Spark or Hive as needed.
Analytics & Visualization Layer
We enable querying with Athena or Redshift and build custom dashboards using Amazon QuickSight or integrate with tools like Power BI/Tableau for intuitive visual insights.
Security, Compliance & Cost Controls
We implement IAM roles, encryption, logging, and access governance — and set up budgets and cost-monitoring tools to keep your AWS usage optimized.
Testing, Launch & Ongoing Support
Before going live, we test performance, data accuracy, and cost-efficiency. After deployment, we provide training, monitoring, and support — so your system evolves with your business.