Engagement overview
Our client
Business objective
Implement a target state architecture with clearly identified business use cases
Optimize the existing tech stack for enhanced performance
Develop a detailed design document outlining architecture, tools, delivery approach, phases, timelines, and costs
Deliver advanced analytical reports using Power BI
Enable automation through continuous integration and continuous delivery practices
Our solution
Ensured comprehensive coverage across both functional and non-functional dimensions of the client’s end-state enterprise data platform
Recommended open-source solutions to minimize the total cost of ownership while optimizing technology expenses to sustain growth
Provided a comprehensive suite of data services, including data engineering, analytics, and data science, to support the client’s transformation objectives
Leveraged modern data stack technologies to remain aligned with the rapidly evolving data landscape
Implemented sustainable data-driven architectural principles, optimizing the data platform using Databricks Lakehouse, Unity Catalog, and workflow management tools
Applied best practices in the design, definition, and modeling of data across the enterprise to enhance overall data quality
Ensured the highest data quality and completeness to support diverse business use cases
Our tech stack
Business benefits
- Achieved real-time insights and enhanced decision-making by unifying data from on-premise and cloud platforms
- Strengthened compliance and streamlined data organization through the implementation of a robust three-layer medallion architecture
- Enabled scalable analytics and advanced use case support by delivering seamless and real-time data transformations
- Enhanced data reliability and consistency across domains by establishing accurate master data management practices