About Client
A large multi-state retail enterprise operating across hundreds of stores and multiple online channels. The client sought to unify business data and build a scalable analytics foundation to support omnichannel decision-making.
The Challenge
Disconnected data systems made it difficult to generate timely, accurate insights for business operations, marketing, and supply chain teams.
- Data scattered across CRM, POS, accounting, and inventory systems
- Manual data exports and inconsistent reports
- No unified view of key sales and inventory KPIs
- Delayed decision-making due to fragmented insights
- Limited scalability for growing data volumes
- High dependency on manual data aggregation
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The Solution
Iksula implemented a centralized, cloud-based data lake and BI platform to unify, automate, and scale data analytics.
- Established AWS-based data lake integrating CRM, POS, and ERP systems
- Automated ETL pipelines via AWS Glue for consistent ingestion
- Designed Power BI dashboards for real-time operational visibility
- Standardized KPIs and reporting models across departments
- Enabled single source of truth for sales, finance, and inventory
- Created governance framework for scalable future analytics
Business Metric Improvement
The modernization improved reporting speed, accuracy, and operational efficiency, empowering leadership with data-driven decision-making.
- 100% unified data visibility across business functions
- Reporting time reduced from days to minutes
- Enhanced data accuracy and consistency through automation- Faster decision-making with real-time dashboards
- Improved scalability for integrating new data sources
- Foundation established for predictive and AI-led analytics
