Turning Disconnected Excel Reports into a Real-Time Business Intelligence Platform
Unified Data Platform for Real-Time Business Insights
Project Overview
ABB, a leading global manufacturing and industrial conglomerate, was managing multiple disconnected Excel reports across departments with no unified visibility into performance metrics. Honest AI built a centralized Data Warehouse and Power BI reporting layer that eliminated data silos and gave leadership real-time, cross-functional insights.
Key Achievements
Single source of truth eliminated data conflicts and manual reconciliation effort
Leadership gained real-time visibility into business performance via Power BI
Significant reduction in time spent on manual report management and maintenance
Scalable foundation for future AI and analytics use cases at ABB
Technologies Used
Azure Data Warehouse
Centralized storage for all fragmented data sources
Dimensional Modeling
Microsoft data engineering best practices for consistent reporting
Power BI Service
Interactive dashboards with daily auto-refresh
ETL Pipelines
Automated data ingestion and transformation
The Challenge
ABB was managing multiple disconnected Excel reports with unorganized, fragmented data across departments. There was no single source of truth each department maintained its own data silos. Manual reporting processes were error-prone, time-consuming, and difficult to maintain. Leadership lacked real-time visibility into cross-functional performance metrics, limiting data-driven decision-making at the executive level.
The Solution
Unified Data Warehouse
Built a centralized Azure Data Warehouse aggregating data from multiple heterogeneous source systems
Dimensional Data Model
Developed a dimensional model using Microsoft data engineering best practices for reliable cross-department reporting.
Power BI Dashboards
Delivered multiple Power BI reports hosted on Power BI Service covering key business performance areas.
Auto-Refresh Pipelines
Configured daily auto-refresh so dashboards are always current with zero manual updates required.
Results
Key Results
• Architecture and implementation of Azure Data Warehouse
• Dimensional data modeling aligned to Microsoft best practices
• ETL pipeline development for multi-source data ingestion
• Power BI dashboard design and deployment on Power BI Service
• Role-based access configuration and auto-refresh scheduling
Impact Summary
The Data & Analytics Modernization project transformed ABB's reporting landscape from fragmented, manual Excel-based processes to a unified, automated intelligence layer. Leadership now has a reliable, real-time view of performance across all functions, enabling faster and more confident decision-making
Looking Ahead
The data warehouse foundation supports future AI use cases including predictive maintenance, supply chain optimization, and AI-powered executive dashboards enabling ABB to continuously grow its analytics maturity
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