Refined Data That Accelerates ETL Process, Enabling Real-Time Dynamic Pricing In the Industry
Client
DMCI Homes
Sector
Real Estate & PropTech
Geography
Nigeria
Services
Warehouse · ETL · Pricing Intelligence
95%
Reduction in reporting time.
Pipeline PerformanceMinutes
Refresh cycle reduced from hours.
Speed to InsightRestored
BigQuery and Power BI connection.
BI ReliabilityThe Client
DMCI Homes — a growing residential and commercial property company in Nigeria
DMCI Homes manages a broad property portfolio and is known for flexible pricing models designed for different buyer and tenant segments.
As competition intensified and market conditions shifted, the company needed deeper, faster intelligence to optimise property prices and respond to demand, competition, and seasonality.
The Challenge
Fragile data pipelines made real-time pricing impossible
Property listings, customer-engagement platforms and transaction databases produced valuable information, but recurring pipeline failures and broken BI connectivity kept it from supporting fast pricing decisions.
DMCI Homes had extensive property, engagement and transaction data, but fragile pipelines and a failed analytics connection prevented the company from using it for live pricing. Delovox modernised the full decision path — from extraction and modelling to governed dashboards and dynamic price adjustment.
The Goal
A scalable architecture for dynamic pricing and real-time analytics
DMCI Homes partnered with Delovox to unify organisational data, automate ETL, and give decision-makers live, predictive pricing insight.
The Solution
A redesigned warehouse, modern ETL and governed dynamic-pricing layer
Delovox rebuilt the analytical foundation and restored the connection between the warehouse and decision tools, creating a reliable path from changing source data to live pricing.
Star-Schema Warehouse
Optimise analytical queries and establish a scalable foundation for future growth.
Modern ETL Framework
Automate extraction and improve processing speed by 95%.
Integration Repair
Integrate internal and external data and repair BigQuery–Power BI connectivity.
Dynamic Pricing Engine
Use live market indicators inside interactive dashboards to guide property rates.
The Result
ETL speed improved by 95%, reducing refresh times from hours to minutes
The modernised environment made dynamic pricing and current executive insight operationally possible.
ETL speed improved by 95%, moving refresh cycles from hours to minutes.
Dynamic property pricing became operational, with rates able to respond to live market fluctuations.
Executive dashboards became current and reliable, supporting faster evidence-backed management decisions.
The BigQuery–Power BI connection was restored, improving visualisation and collaboration.
Better price optimisation and faster market response contributed to measurable revenue growth and strengthened DMCI Homes' data-led market position.
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