The challenge
Madinat Misr's operational data lived across disconnected sources (project sites, supply-chain platforms, finance systems), making consistent reporting impossible. EX and CE programs lacked an integrated measurement layer, and strategic planning relied on stitched, partial extracts rather than a single source of truth.
- Data fragmented across projects, supply-chain, and financial systems
- No common ownership or quality standards across data domains
- EX and CE outcomes could not be measured end-to-end
- Reporting cycles slowed by manual extraction and reconciliation
- Strategic decisions taken on partial, inconsistent data
The engagement
Bahgat Expert designed a centralised data-warehouse architecture covering source mapping, ingestion patterns, governance policy, and an analytics layer dedicated to EX and CE outcomes. The framework specified data ownership, quality standards, and a phased migration plan that lets each business domain go live independently.
- Inventory source systems and map operational data flows
- Design a unified data warehouse with EX/CE-aligned marts
- Specify data ownership, quality standards, and governance policy
- Define an analytics layer for EX, CE, and strategic reporting
- Plan a phased migration so each domain goes live independently
- Project-site operational data
- Supply-chain and procurement records
- Financial and ERP data
- Employee experience and HR data
- Customer experience and CRM data
- Unified data warehouse architecture
- EX and CE analytics layer specification
- Data quality monitoring and governance controls
- Strategic reporting and executive dashboard design
- Phased migration playbook for each business domain
Outcome
- Single source of truth available for EX, CE, and strategic reporting
- Reduced reconciliation effort across domains
- Improved data quality scores against agreed standards
- Faster reporting cycles for leadership and operations
- Defensible measurement of EX and CE outcomes
Considering a similar engagement? Bahgat Expert accepts inbound consultations across AI, ICT, data, and digital risk.
