Business Intelligence (BI) & Data Analytics

A robust data processing system that automates data ingestion, transformation, and visualization, providing real-time dashboards for end-users.

Design a robust, scalable data management system capable of data ingestion, processing, storage, and visualization to support advanced analytics and reporting needs.

Design a secure, scalable platform that aggregates data, offers customizable dashboards, and supports advanced analytics and reporting.

The system will aggregate data from various internal systems, display real-time metrics through customizable dashboards, and generate detailed reports for different user roles.

A comprehensive web-based analytics platform enabling real-time data integration, customizable reporting, and interactive visualizations to support business decision-making.

Design and implement an integrated data analytics platform capable of automated data ingestion, processing, visualization, and reporting to support strategic business decisions.

Design and implement an internal analytics dashboard that consolidates data from various sources, providing dynamic visualization, role-based access, and real-time reporting capabilities.

Design and develop an internal analytics dashboard providing data aggregation, visualization, and real-time reporting capabilities for various business metrics.

Design and develop an internal analytics dashboard capable of aggregating diverse enterprise data sources, providing real-time analytics, customizable reporting, and role-based access control.

Design and develop a secure, scalable internal analytics dashboard that aggregates data from multiple sources, offers real-time visualization, and supports customizable reporting features.

The system must automatically analyze input documents to determine their type and structure, perform OCR recognition on scanned or image-based PDFs, extract structured data fields such as invoice number, date, vendor name, and total amount, and validate extracted data against predefined rules. It should also support integration with cloud storage for secure data handling.

Development of a robust, user-friendly platform that supports secure data ingestion, processing, storage, and visualization, enabling users to monitor and analyze business operations effectively.