Leading Real Estate Developer - KSA – Enterprise Data Platform
Real Estate
Middle East (KSA)
Azure Data Factory, Azure Data Lake, Databricks, Power BI
Enterprise Data Platform
The client sought to establish an enterprise-grade Business Intelligence and Data Management Platform to strengthen data-driven decision-making. Their landscape included multiple disconnected systems such as Oracle Fusion, Salesforce, Primavera, Manage Engine, and MS SQL databases. Leadership aimed to unify data, enable advanced analytics, and introduce AI-driven forecasting across the organisation.
Identifying the unique obstacles that hinder progress and uncovering the root causes behind complex business problems.
Fragmented data spread across multiple enterprise and operational systems — including Oracle Fusion, Salesforce, Primavera, and Manage Engine — made cross-functional analysis and reporting highly inefficient.
The lack of a centralised analytics platform meant that business units operated in silos, with no unified view of performance across the organisation.
Limited self-service capabilities and heavy dependence on manual reporting processes created bottlenecks and delayed access to critical business insights.
The need for predictive and prescriptive AI-driven analytics for proactive planning was unmet by the existing infrastructure, limiting the organisation's ability to anticipate business dynamics.
Increasing regulatory requirements for data governance and security demanded a structured governance framework that the existing environment could not support.
Developing strategic, innovative solutions designed to address each challenge with precision, ensuring measurable impact and long-term success.
Implemented a scalable BI and Data Management Platform integrating data from Oracle Fusion, Salesforce, Primavera, Manage Engine, MS SQL, and cybersecurity systems into a unified platform.
Designed and built an enterprise data warehouse with Medallion Architecture, automated ETL/ELT pipelines, and unified semantic data models to ensure consistent, reliable reporting.
Delivered 50+ interactive Power BI dashboards with AI-driven forecasting, trend analysis, and prescriptive insights to support proactive decision-making across all business verticals.
Enabled organisation-wide adoption through structured training, self-service BI enablement, and a clear data governance framework to reduce manual reporting dependency.
Centralised data storage and a streamlined data layer provided a scalable foundation for future use cases, ensuring transparent KPI visibility for all business units.
Delivering tangible results that drive operational efficiency, data trust, and sustained business value for the organisation.
Improved insights across all business verticals with prescriptive and descriptive analytics, enabling leadership to make faster, more informed decisions.
Centralised data storage provided a unified foundation for future analytics use cases, eliminating fragmented reporting across disconnected systems.
A streamlined data layer and transparent KPI visibility empowered business units to independently access and interpret performance data without IT dependency.
50+ Power BI dashboards with AI-driven forecasting reduced reliance on manual reporting and enabled proactive, data-driven planning across the organisation.
A robust data governance framework with structured access controls and security policies strengthened compliance posture, ensuring data integrity and accountability across all business verticals.