TrueMorph - AI-Powered Data Modernization Solution for Microsoft Fabric

integrate, transform, govern, and activate data across the full modernization

lifecycle, supporting enterprise sources such as ERP, CRM,

Dynamics 365, operational databases, SaaS platforms, business applications, and

legacy analytics environments. TrueMorph organizes data into a Microsoft Fabric

Lakehouse using Bronze, Silver, and Gold medallion layers, transforming

fragmented data into trusted, analytics-ready, and AI-ready data products. AI capabilities automate profiling, transformation, quality checks, anomaly detection,

schema mapping, validation, and remediation recommendations. It includes

AI-readiness checks at each data layer, human approval gates before Gold-layer

promotion, PII/PHI discovery and masking, lineage, auditability, and

integration with Microsoft security and governance services.

TrueMorph supports modernization of

legacy analytics and reporting components, including migration pathways SSRS, SSIS, SSAS, OBIEE, OBIP, Informatica PowerCenter, selected Oracle-to-SQL

modernization scenarios, and Tableau-to-Power BI reporting transitions.

Available through Microsoft Marketplace,

TrueMorph gives eligible enterprise customers a streamlined procurement path

for Fabric-led data modernization.

Offer Deliverables:

TrueMorph delivers a reusable,

enterprise-ready platform for modernizing data estates on Microsoft Fabric,

including:

• AI-Powered

Data Modernization Platform - Cloud-scale platform foundation for migrating, integrating, transforming, and

governing enterprise data on Microsoft Fabric

• Legacy

Analytics Stack Modernization - Support

for modernizing selected legacy analytics components and

selected database modernization workloads

• Microsoft

Fabric Lakehouse Architecture - Bronze,

Silver, and Gold medallion layers to structure raw and

curated datasets for analytics, reporting, AI, and downstream enterprise

consumption.

• AI-Assisted

Data Ingestion and Profiling - Automated data profiling, schema discovery,

metadata interpretation, and source-to-target mapping

• AI-Powered

Data Transformation - Generative

AI-assisted transformation logic, reusable mapping rules, validation checks,

and data preparation workflows

• Automated

Data Quality Checks - Continuous

validation of freshness, completeness, null rates, schema consistency,

duplicate records, distribution patterns, and quality thresholds across data

layers

• Anomaly Detection and Monitoring - Detection of schema drift, volume drops, freshness issues,

distribution shifts, and abnormal data patterns

• AI-Assisted Pipeline Remediation - Remediation recommendations for type mismatches, schema changes, null

handling, failed transformations, and data drift

• AI-Readiness Checks Across Data Layers - Layer-wise assessment of data quality, completeness, masking coverage,

lineage, governance readiness, schema stability, and suitability for BI, ML,

and Generative AI workloads.

10.PII/PHI Discovery and Masking - Automated discovery and masking of sensitive data with audit trails to support privacy & compliance.

11.Human-in-the-Loop Gold Layer Governance - Business, data steward, and compliance approval workflows before

curated Gold-layer datasets are published

12.Governance, Security, and Lineage Integration - Integration with Microsoft Entra ID, Azure Key Vault, Microsoft

Purview, Fabric governance controls, data lineage, RBAC, audit logs, and Azure

Monitor to support secure and governed data modernization.

13.Power BI and GenBI Enablement - Curated Gold-layer datasets, Power BI-ready semantic models, natural

language querying, AI-generated insights, and trusted business metrics

14.Multi-Cloud and Enterprise Source Connectivity - Secure connectivity patterns for cloud, operational, and business

application data sources, helping enterprises consolidate fragmented data

estates into a unified Microsoft Fabric environment.

• Real-World Modernization Accelerator - A reusable modernization approach proven for complex enterprise data

environments, including multi- region operational data consolidation, reporting

modernization, and AI-ready analytics activation.