Automated ETL and Predictive Analytics for Smarter Resource Allocation

CHG Data Integration and Automation for Evidence-Based Decision Making

Background

City Housing Group (CHG) faced a fragmented data landscape, with multiple disconnected systems for customer data, asset management, and financials. They relied on SQL, Oracle databases, and semi-structured sources like JSON and SharePoint lists. Manual data extraction and inconsistent reporting processes hampered decision-making and operational efficiency.

Solution

Data Modelling

VE3 designed an integrated data model that standardized data structures across systems, defining "golden records" for customers and assets to ensure a single source of truth. This standardized framework enabled CHG to connect customer, asset, and financial data seamlessly.

Data Ingestion and Integration

VE3 implemented an automated ETL pipeline to extract, transform, and load data from APIs, CSVs, and SQL/Oracle databases into a centralized data warehouse. This streamlined integration enabled real-time access for all departments.

Data Storage and Management

CHG’s data was migrated to a cloud-based data lake architecture designed by VE3. This scalable solution provided efficient storage and retrieval of both structured and semi-structured data, optimizing performance for analytics.

Data Governance and Quality

VE3 established a robust data governance framework, incorporating automated validation and cleansing processes to enhance data quality. This ensured trust in the "golden records" and supported consistent, accurate insights.

Reporting and Analytics

VE3 deployed self-service BI tools, empowering CHG’s teams to create reports and dashboards independently. Predictive analytics capabilities were embedded to forecast trends, enabling informed decisions about customer service, asset management, and financial planning.

Outcome

  • Unified Data Platform: L&Q successfully integrated multiple data sources into a single platform, reducing data silos and enabling comprehensive, cross-functional reporting.  
  • Enhanced Financial Reporting: The platform improved the accuracy and timeliness of financial reports, enabling better budget management and financial forecasting.  
  • Improved CRM: By integrating customer data across different systems, L&Q was able to gain a 360-degree view of customer interactions, leading to better-targeted services and improved customer satisfaction.  
  • Scalability: The Azure-based platform allowed L&Q to scale its operations, supporting ongoing growth and the addition of new data sources as needed.  

Case Study

Our Azure Solutions

VE3 assists clients in leveraging Microsoft Azure’s database services for efficient data storage, management, and analysis. This offering includes deploying and managing various Azure database options, such as Azure SQL Database, Azure Cosmos DB, Azure Database for MySQL, and Azure Database for PostgreSQL. VE3 helps clients optimize database performance, ensure high availability, and implement data replication and backup strategies. 

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