Managed Analytics for a top real estate firm improves occupancy rates by 10%

Our Client

  • Founded in 2005, our client is a renowned property management firm in London, managing an expansive portfolio of residential and commercial properties in the United Kingdom.
  • Renowned for its commitment to excellence and trust, as of the latest update, the firm has successfully managed 2,000+ properties, further expanding its reach and influence in the property management sector.

Problem Statement

The company encountered several challenges in optimising their property management processes, including both inside operations and changing customer demands.
  • Data Silos:

    The presence of isolated data silos, where information is stored in different and often incompatible systems, makes it challenging to consolidate and identify trends, assess demand-supply dynamics, and predict future market movements.

  • Robust Analytics Framework:

    The lack of a structured and comprehensive analytics framework hinders their ability to track and monitor present market data (market volatility rates, economic indicators, regulatory changes, customer inquiries) limiting investors make informed business decisions

  • Untargeted Marketing Strategies:

    In a recent campaign targeting a broad audience, the client struggled to adapt marketing strategies, pricing, and the overall sales process based on customer behaviour and market trends.

  • Overhead Costs:

    Inefficient supply chains due to difficulties in predicting material needs, managing inventory, and finding cost-saving opportunities, leading to impacts on project timelines and quarterly budgets.

Our Solution

After thoroughly analysing the challenges, the client associated with our real estate analytics team, and we suggested and implemented end-to-end managed analytics and power BI solutions:

  • Custom Power BI Dashboard:  Implemented custom Power BI finance and sales analytics dashboards, providing immediate access to crucial insights in market trends, target group(TG) preferences and demands, property values, and potential risks.
  • Property Portfolio Analytics:  Advanced managed real estate analytics framework was set-up to offer a comprehensive understanding of property portfolios. With this, stakeholders can now analyse residential real estate data, construction project analytics, and market intelligence, facilitating the identification of trends, risk assessment, and capitalization on growth opportunities.

  • Set-up of a Data Warehouse: To ensure a unified view of real estate data, our team implemented a centralised data warehouse to consolidate diverse datasets. And as the data grows, our scalable frameworks remain flexible, accommodating new sources and evolving analytical requirements.

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Business Impact

With the deployed managed analytics framework, came visible results.

  • Achieved Targeted Advertising: Real-time insights empowered targeted campaigns, resulting in a 24% improvement in marketing effectiveness and increased TG engagement.

  • Better Team Collaboration: By addressing the talent gap, better team collaboration within the internal team was achieved. This not only met project deadlines but also filled the skill gap in the team without the need for a full-time employee, leading to increased client satisfaction and resource savings.

  • Cost Saving Opportunities Created: Advanced managed analytics framework plus the finance dashboard insights improved prediction of material needs and identified cost-saving opportunities, leading to a 20% reduction in supply chain-related overhead costs.

  • Boost in Occupancy Rates: Achieved a 10% boost in occupancy rates through effective analysis of market trends, target group preferences, and property values using custom Power BI dashboards.

  • Faster Project Timelines: With a data warehouse and streamlined analytics structure in place, it contributed to efficient construction project analytics, resulting in a 15% improvement in project timelines.

  • Scalable and Flexible Solutions: The implementation of a scalable data warehouse ensures adaptability to new data sources and evolving analytical requirements.

  • Enhanced Investor Confidence: Real time insights from BI dashboards improved risk assessment and identified growth opportunities, enhancing investor confidence in the firm’s decision-making capabilities.

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