Data & Analytics
Transform raw data into actionable insights. We build scalable data lakes, real-time analytics pipelines, and predictive models to drive intelligent business decisions.
Your Data Holds the Key.
We Unlock the Advantage.
StartozAI moves you beyond traditional reporting. We help you discover hidden gems and predictive insights that drive intelligent business decisions. From scalable data lakes to self-service BI, we turn your data into pure business value.
- Scalable Data Lake Design
- Real-Time Stream Analytics
- AI-Powered Predictive Modeling
- Self-Service BI & Visualization
End-to-End Data Transformation
Scalable Data Lake & Warehouse
We build flexible, cost-optimized data architectures in the cloud (AWS S3, Redshift, Snowflake), ensuring your platform can handle any volume and velocity of data.
Real-Time Data Processing
Move beyond batch processing. Implement event-driven and stream analytics (Kafka, Kinesis) to get real-time data insights when they matter most.
Advanced Analytics & AI
Apply machine learning and predictive modeling to your clean data to uncover patterns, predict future trends, and gain a decisive edge.
Self-Service BI & Visualization
Empower your teams with intuitive tools (Tableau, PowerBI, QuickSight) that allow them to explore data independently and foster a data-driven culture.
Global Finance Corp (GFC)
Data Lake Infrastructure Setup on AWS Cloud Platform
Unified Data Strategy
Disparate data sources (Core Banking vs Logs) prevented complex analysis and scalable reporting.
AWS Data Lake (S3, Glue, Redshift) for centralized storage and automated ETL pipelines.
The Challenge
GFC needed to integrate structured banking data with unstructured communication logs. They faced scalability issues and high costs with their existing setup, and needed a secure, governed way to enable real-time analytics for risk management and personalization.
The StratozAI Solution
Ingestion & Centralization
Utilized AWS DMS to migrate PostgreSQL, MySQL, and proprietary data to a centralized Amazon S3 Data Lake.
Processing & Transformation
Asset extraction using AWS Glue with complex SparkSQL queries to clean and standardize raw data before loading into Amazon Redshift.
Analytics & Reporting
Enabled ad-hoc querying via Amazon Athena and connected downstream visualization tools (Tableau/Power BI) for business users.
Business Outcome
- Data-Centric Culture: Teams can now pull and analyze data independently.
- Enhanced Security: Sensitive financial data is fully protected in the cloud.
- Faster Decisions: Unified platform accelerated strategic decision making.
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Ready to Uncover Hidden Insights?
Contact StartozAI today to start your data discovery journey and turn data into business value.