The service would start with collecting and integrating data from various sources, including databases, APIs, and other data streams. The data would then be transformed and cleaned, ensuring its accuracy and consistency. The data would also be stored in a centralized data warehouse or data lake for easy access and analysis.
What's included
ETL
Data analysis, processing and visualization
Insights
Real-time insights into data, allowing to inform, make decisions and track performance metrics