System overview

DataForge is a unified platform for end-to-end analytical data management, providing a complete cycle of corporate analytics work: from formalizing business requirements to the physical implementation of data marts in target DBMS.

Key purpose

The system is designed for centralized design, versioning, and deployment of an enterprise's analytical infrastructure, uniting three key roles in a single workspace:

• Business analysts — through maintaining a register of indicators and dimensions
• Data engineers — through designing fact tables and database connections
• BI developers — through constructing data marts and generating views

Main objectives

1. Metadata standardization — creating a unified business measures glossary with formula and dependency control
2. Visual data warehouse modeling — building logical fact table schemas with automatic resolution of measure dependencies
3. Data mart management — configuring analytical structures with support for various join types and aggregation levels
4. Versioning and change control — tracking the evolution of data models with the ability to compare and rollback versions
5. Physical implementation — automatic SQL code generation and view creation directly in connected databases
6. Quality assurance — built-in mechanisms for formula validation, data testing through filters, and viewing measure lineage

Expected implementation outcome

The system aims to bridge the gap between business requirements and their technical implementation, ensuring:

• Measure lineage transparency
• Consistency of measures across various reports
• Automation of data model documentation
• Reusability of configured structures through cloning