DMCI Homes, a rapidly growing real estate company in Nigeria that manages a wide portfolio of residential and commercial properties
Challenge:DMCI Homes had access to multiple data sources ranging from property listings and customer engagement platforms to transaction databases
Highlight:
Client: DMCI Homes, a rapidly growing real estate company in Nigeria that manages a wide portfolio of residential and commercial properties. Known for its flexible pricing models that appeal to diverse buyers and tenants.
Challenge: DMCI Homes had access to multiple data sources ranging from property listings and customer engagement platforms to transaction databases.
Goal: To overcome these challenges, DMCI Homes partnered with Delovox to rebuild a scalable and efficient data architecture capable of supporting dynamic pricing and real-time analytics.
Solution: The data warehouse was completely redesigned using a star schema, optimized for analytical queries and future scalability. Legacy ETL scripts were migrated to a modern framework that automated data extraction from all data sources.
Result: The transformation delivered remarkable outcomes. ETL speed improved by 95%, reducing data refresh times from hours to just minutes.
More Details:
Client:
DMCI Homes, a rapidly growing real estate company in Nigeria that manages a wide portfolio of residential and commercial properties. Known for its flexible pricing models that appeal to diverse buyers and tenants, the company sought to strengthen its competitive edge by becoming more data-driven. As market dynamics shifted and competition intensified, DMCI Homes realized it needed deeper, faster insights to optimize property pricing and respond instantly to changing demand and market trends.
Challenge:
DMCI Homes had access to multiple data sources ranging from property listings and customer engagement platforms to transaction databases. The company faced significant operational and analytical bottlenecks.
Frequent changes in data sources often broke extraction pipelines, leading to inconsistent data flow, limited traceability, and recurring security issues. These disruptions made it nearly impossible to implement dynamic pricing strategies or adjust property rates based on demand, competition, or seasonality.
A failed integration between Google BigQuery and Power BI limited their ability to visualize and analyze data effectively. As a result, the company could not fully capitalize on market opportunities or act quickly on emerging pricing insights.
Goal:
To overcome these challenges, DMCI Homes partnered with Delovox to rebuild a scalable and efficient data architecture capable of supporting dynamic pricing and real-time analytics.
The collaboration focused on unifying data sources across the organization, optimizing ETL pipelines for speed and automation, and empowering decision-makers with predictive and real-time insights that could transform pricing strategies.
Solution:
The data warehouse was completely redesigned using a star schema, optimized for analytical queries and future scalability. Legacy ETL scripts were migrated to a modern framework that automated data extraction from all data sources. This optimization reduced processing time by 95%, enabling near real-time updates. A unified data model was developed to integrate both internal and external datasets. We also built a dynamic pricing engine within interactive BI dashboards, enabling the sales team to make informed, real-time pricing adjustments based on live market indicators.< br/>To ensure reliability and trust in the data, we strengthened data governance, implemented access control, and established compliance protocols that secured data across the entire pipeline. The persistent integration issue between Google BigQuery and Power BI was also resolved, allowing for seamless data visualization and improved collaboration between teams.
Result:
The transformation delivered remarkable outcomes. ETL speed improved by 95%, reducing data refresh times from hours to just minutes. With real-time dynamic pricing in place, property rates could now adjust automatically based on market fluctuations, boosting competitiveness and responsiveness. Executive dashboards provided up-to-date insights, empowering management to make quicker, data-backed decisions. DMCI Homes experienced measurable revenue growth through improved price optimization and faster market responses, solidifying its position as a data-driven leader in the RealTech industry
Testimonials
Pricing decision are now instant, accurate, and backed by real-time insights. The improvement in ETL speed, the restored connection between Google BigQuery & Power BI, and the clarity of our dashboards have given us a true competitive advantage in the property market.
