Advanced Forecasting
FAW provides more analytic options and advanced forecasting algorithms than standard analytics cloud solutions, supporting more accurate predictions on property prices, market trends and demand-supply dynamics.

Fusion Analytics Warehouse was implemented for 5 legal entities and 9 operating units.
The implementation was completed in 5 months using an onsite and offshore delivery model.
Msheireb Properties is a real estate company and a subsidiary of Qatar Foundation, with 350+ employees. Its flagship project, Msheireb Downtown Doha, is the world’s first fully built smart and sustainable city district.
As a master property developer managing the Downtown Doha project and property management, the client had data in different systems that were not connected to give management a holistic view of operations. It required a modern analytics system with financial and operational dashboards using data from Oracle Fusion Cloud and its Property Management System.
Management needed a single, holistic view of financial and operational data spread across disconnected systems.
Msheireb Properties uses Oracle Fusion Cloud applications for its ERP and required management reporting for its back-office solutions. 4i proposed Oracle Fusion Analytics Warehouse (FAW) for business analytics.
4i configured Fusion Analytics Warehouse for Fusion HCM, Fusion SCM and Fusion ERP (Financials), and set up and configured Oracle Autonomous Data Warehouse on OCI.
FAW provides more analytic options and advanced forecasting algorithms than standard analytics cloud solutions, supporting more accurate predictions on property prices, market trends and demand-supply dynamics.
Financial and operational dashboards bring together data from Oracle Fusion Cloud to give management a connected view of operations.
Implemented across 5 legal entities and 9 operating units in 5 months using an onsite and offshore model.
Built to handle increasing volumes of real estate data and complex analytics tasks without compromising speed or efficiency.
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