Enterprise Cloud Modernization
Rebuilding an analytics platform people trusted again.
Promethean's analytics ecosystem had become difficult to trust. Legacy Cognos reports, inconsistent KPI definitions, and an aging on-premises platform slowed decision making.
I led the end-to-end modernization to Microsoft Azure and later Microsoft Fabric, rebuilding data pipelines, semantic models, and Power BI experiences that restored confidence across Finance, Sales, Operations and Executive leadership.
Executive Summary
Technology wasn't the biggest problem. Trust was.
Promethean's analytics platform had evolved over many years, resulting in inconsistent KPI definitions, aging on-premises infrastructure, and declining confidence in enterprise reporting. Business users frequently questioned Cognos reports because different teams interpreted the same metrics differently.
Rather than simply migrating existing reports, I partnered with stakeholders across Finance, Sales, Operations, and Executive Leadership to redefine business metrics, modernize the analytics architecture, and establish a governed semantic layer that aligned reporting with real business processes.
I led the complete cloud modernization journey—from Microsoft SQL Server, SSIS, and Cognos to Microsoft Azure, and later to Microsoft Fabric—designing and implementing the platform architecture, data pipelines, semantic models, security, Power BI reporting, and deployment strategy from the ground up.
The outcome was more than a successful cloud migration. It became a trusted analytics ecosystem that provided every department with a single source of truth and empowered leaders to make decisions with confidence.
Business Challenge
Modernizing technology was only half the challenge. Restoring confidence in data was the real mission.
Before
Legacy Analytics Platform
After
Modern Analytics Platform
While cloud migration was the technical objective, the business success of the project depended on rebuilding confidence in enterprise reporting. By partnering directly with business stakeholders, redefining KPI logic, and designing semantic models around real business processes, the platform evolved from a collection of disconnected reports into a trusted decision-making system.
Modernization Journey
From legacy infrastructure to a modern cloud analytics platform.
On-Premises
Legacy Platform
Microsoft Azure
Cloud Modernization
Microsoft Fabric
Platform Evolution
The modernization was completed in two strategic phases. We first established a scalable Azure-based analytics foundation to replace the legacy on-premises platform. As Microsoft's data ecosystem evolved, we transitioned to Microsoft Fabric, adopting a unified architecture built around Lakehouse, Warehouse, semantic models, and Power BI while preserving consistent business logic across the organization.
Azure Architecture
Building a cloud-native analytics platform from the ground up.
I designed and implemented the complete Azure analytics architecture—from ingestion through reporting—creating a scalable, governed, and secure platform capable of supporting enterprise analytics across multiple business functions.
ERP
CRM
Sales
Finance
Azure Data Factory
Azure Data Lake
Azure SQL
Semantic Models
Power BI
Supporting Services
Engineering Ownership
Platform Evolution
Evolving from Azure into the Microsoft Fabric ecosystem.
As Microsoft's unified analytics platform matured, the organization decided to adopt Microsoft Fabric. Rather than performing a simple migration, I redesigned the analytics architecture to take advantage of Fabric's integrated data engineering, warehousing, semantic modeling and Power BI capabilities.
Why Fabric
My Responsibilities
Microsoft Fabric
Lakehouse
Warehouse
Data Pipelines
Semantic Models
Power BI
Because I had already designed the Azure platform, I was able to transition the organization into Microsoft Fabric while preserving trusted business logic, minimizing user disruption, and ensuring reporting consistency across Finance, Sales, Operations, and Executive Leadership.
Enterprise Data Modeling
Building a semantic foundation for consistent business decisions.
Rather than replicating legacy database structures, I redesigned the analytical layer around how business teams actually consume information. Every model, relationship, and KPI was intentionally built to improve consistency, performance, and long-term governance.
Star Schema Design
Designed subject-oriented data models that simplified analytics while improving performance and consistency.
Fact & Dimension Modeling
Created reusable enterprise fact tables and conformed dimensions to establish a governed reporting foundation.
Slowly Changing Dimensions
Implemented SCD strategies to accurately preserve historical business context and reporting accuracy.
Incremental Processing
Built efficient incremental loading strategies that reduced processing time while supporting near real-time analytics.
Data Quality
Introduced validation checkpoints throughout the pipeline to improve reliability before data reached business users.
Governed Semantic Layer
Standardized KPI definitions and business terminology through semantic models shared across Finance, Sales, Operations and Executive reporting.
The Biggest Win
The semantic layer became the organization's shared business language. Instead of every department calculating KPIs differently, Finance, Sales, Operations and Executive Leadership all relied on the same governed definitions, creating a true single source of truth across the enterprise.
Enterprise Reporting
Modern BI Experience
Promethean standardized executive reporting across Power BI and Tableau, enabling governed dashboards alongside interactive visual exploration.
Power BI Desktop
Promethean Analytics
Executive Dashboard
Executive Performance Overview
Revenue
$148.2M
Gross Margin
38.7%
Orders
82,419
Inventory
99.4%
Revenue Trend
Product Mix
Total
100%
Product Categories
Manufacturing Operations
Technology Stack
Enterprise Analytics Platform
Business Outcomes
Lasting Business Impact
Single Source of Truth
Unified legacy reporting into governed semantic models trusted across departments.
Business Trust Restored
Partnered with business stakeholders to redefine KPI logic and eliminate reporting inconsistencies.
Cloud Modernization
Led the transition from an on-premises BI platform to Azure and Microsoft Fabric.
Enterprise Adoption
Delivered executive dashboards that became the preferred reporting experience across Finance, Sales, Manufacturing, and Operations.