Step 1: Requirement Gathering
Identify data sources, business needs, reporting requirements, and performance goals.
Centralize and Transform Data for Better Business Insights
Universe Eswan delivers robust ETL solutions and data warehousing strategies to collect, clean, and transform data from multiple sources into a unified repository for analytics and reporting.
Identify data sources, business needs, reporting requirements, and performance goals.
Design data models, star/snowflake schemas, and define relationships for the warehouse.
Extract data from source systems, transform it according to business rules, and load it into the data warehouse.
Ensure accurate, consistent, and clean data using validation rules and quality checks.
Integrate with BI tools, optimize queries, and improve performance for analytics.
Provide dashboards, reports, and insights to enable informed decision-making.
Continuously monitor ETL processes and warehouse performance, updating pipelines as required.
All business data in one place for easy access and analysis.
Reliable ETL processes ensure accurate and consistent data.
Efficient pipelines and storage for faster queries and reporting.
Ready-to-use data for dashboards and analytics tools.