Case Study: Cloud Migration and Business Intelligence Modernization for Housing Project

Project Timeline: July 2022 – February 2023
Client: Real Estate – Housing Project
Technology Stack: Azure Analysis Services, Azure Data Factory, Azure SQL, Microsoft Power BI

Overview

A housing project in the real estate sector sought to modernize its data management infrastructure by migrating to a cloud-based solution. The primary objectives included centralizing scattered legacy reporting systems, improving data retrieval speed, and providing advanced analytics for smarter decision-making. The goal was to optimize internal systems, reduce operational costs, enhance customer satisfaction, and ultimately drive revenue growth.

Challenge

The client faced several challenges related to outdated infrastructure and fragmented data systems:

• Legacy Data Systems: The existing on-premises data management system was slow and inefficient, limiting the organization’s ability to scale and access data in real time.
• Fragmented Reporting Solutions: Business-critical data was dispersed across multiple systems, causing delays in data retrieval and inconsistency in reporting.
• Limited Analytics Capabilities: The lack of advanced analytics and reporting tools prevented the client from gaining actionable insights and hindered their ability to make data-driven decisions.
• Manual Complaint Management: The absence of a streamlined complaint management system affected customer satisfaction and response times.

To address these issues, the client required a cloud-based data warehouse and BI solution that would consolidate data, enable self-service reporting, and support intelligent analytics.

Solution

SQL Orbit implemented a comprehensive cloud migration and business intelligence solution, utilizing Azure’s cloud technology to streamline operations and enhance reporting capabilities.

Key solution components included:

• Cloud-Based Data Warehouse: Migrating data to an Azure SQL-based cloud data warehouse enabled centralized storage of business-critical information, allowing for faster and more efficient data retrieval.
• Automated Data Pipelines with Azure Data Factory: Azure Data Factory was utilized to automate the extraction, transformation, and loading (ETL) of data from multiple sources into the cloud environment, ensuring a seamless data flow and minimizing errors.
• Centralized Reporting with Azure Analysis Services and Power BI: Azure Analysis Services provided a structured model for data, while Power BI dashboards enabled real-time, self-service reporting with advanced analytics, empowering employees with critical insights at their fingertips.
• Integrated Complaint Management System: The new BI solution integrated complaint data from various sources, including the CRM and Financial System, allowing for better tracking and management of customer complaints, which contributed to improved customer satisfaction.

Outcomes

The implementation of the cloud-based BI solution delivered significant business value, with measurable improvements across multiple operational areas:

1. Reduction in Operational Costs
   • By optimizing internal systems and migrating to a cloud-based solution, the client achieved a 20% reduction in operational costs, streamlining business processes and reducing resource expenditure.
2. Increased Employee Productivity
   • The centralization of data reduced data retrieval times by 40%, resulting in a 15% increase in employee productivity as teams could access and analyze information more efficiently.
3. Enhanced Customer Satisfaction
   • Integrating the complaint management system with the CRM and Financial System enabled quicker responses to customer issues, leading to a 25% increase in customer satisfaction.
4. Revenue Growth through Advanced Analytics
   • The availability of self-service BI reports and advanced analytics improved strategic decision-making, resulting in a 30% increase in revenue by identifying new opportunities and optimizing financial performance.

Benefits

• Real-Time, Centralized Data Access: Centralizing data in a single cloud data warehouse provided a unified view of business-critical information, improving data accuracy and availability.
• Improved Decision-Making Capabilities: The advanced analytics available through Power BI dashboards empowered teams to make informed decisions that positively impacted financial performance.
• Scalable and Secure Infrastructure: The cloud migration enabled the client to scale data management efforts as needed, while Azure’s security features ensured data integrity and compliance.