Tiger Analytics' Assisted Data Modelling

Accelerate the data model development cycle by 2x, overcome development bottlenecks, and achieve over 60% productivity gains with Tiger Analytics' GenAI-powered low-code/no-code solution, now available on Microsoft Azure.

This solution enhances the data modeling process by supporting both the standardization of existing data models and the development of new ones. It intelligently analyzes source data feeds and data dictionaries, autonomously generating logic sequences that align with data modeling rules and standards. By doing so, it creates potential target data models for KPI calculations.

With a modular codebase, the solution enables easy customization to align with enterprise-specific data modeling rules, standards, and naming conventions. Additionally, its interactive interface allows data modelers to co-build, provide feedback, and refine models at every step.

Features: Silver Layer Data Model Generation Gold Layer Data Model Generation Enhance existing Data Model with new source feeds Follow Microsoft IDM while generating the target data model Supports SAP Sources