Case Study

Building a Unified Data Platform for Enhanced Reporting and CRM

Leveraging Azure to Integrate Data, Improve Financial Reporting, and Enhance Customer Insights

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Objective

L&Q is one of the largest residential developers in London, responsible for managing over 90,000 homes. Facing challenges with data silos and inefficient reporting processes, L&Q needed a robust data platform to streamline operations, improve financial reporting, and enhance customer relationship management (CRM).

Challenges

Data Silos
  • Fragmented Information Across Systems. Housing, finance, asset management, and CRM data are stored in separate systems, preventing a single source of truth and limiting cross-department visibility
    • Inefficient Reporting

    Manual and Time-Consuming Processes. Reporting relies on spreadsheets and manual data consolidation, leading to delays, inconsistencies, and increased risk of errors.

    Limited Financial Insight

    Lack of Real-Time Financial Visibility. Disconnected systems restrict timely access to accurate financial performance data, impacting budgeting, forecasting, and compliance.

    Poor Data Quality

    Inconsistent and Duplicate Records. Data duplication and inconsistent formats reduce trust in reports and make decision-making less reliable.

    VE3's Solution

    Azure SQL Database

    Centralized relational data storage that facilitated high-performance queries and reporting for L&Q’s financial and CRM data. 

    Azure Databricks

    Utilized for processing large volumes of data and performing advanced analytics, including predictive modelling for maintenance and customer churn analysis. 

    Azure Purview

    Implemented for data governance, ensuring data quality, compliance, and accurate data lineage tracking across the organization. 

    Azure Analysis Services

    Provided a semantic layer for complex analytical queries, enabling L&Q to generate insights on customer behaviour, asset performance, and financial trends. 

    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.  ‍

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