Residential Development Data Platform
A shared planning architecture connecting finance, estimation, sales and project management into a single decision-support environment for investment planning, scenario evaluation and portfolio management.
Executive Summary
A large private real estate developer managed approximately 12 full development projects across multiple legal entities, with finance, estimation, sales and project management relying on a combination of Excel models, ERP systems, CRM platforms and specialised planning tools that were not designed to work together as a unified planning environment.
Development decisions required the coordination of multiple planning domains including pricing strategy, technical-economic parameters, construction cost estimation, financing structures, sales planning and project cash flow. These domains were managed separately, making investment decisions slow, difficult to validate and highly dependent on spreadsheets.
The project delivered a unified planning and decision-support environment — the Developer Project Model (DPM) — connecting these domains into a single architecture where assumptions could be tested, scenarios compared and investment decisions evaluated with full traceability.
- ✓~12 development projects and 50+ residential buildings on the unified platform
- ✓25–50 users onboarded across finance, estimation, sales and project management
- ✓Full traceability from business assumptions to investment outcomes
- ✓Scenario and sensitivity analysis reduced from days to minutes
- ✓Client team independently maintains and extends the platform post-engagement
Context
A large private real estate developer manages a portfolio of major residential complexes — covering the full development lifecycle from land acquisition and concept design through to construction, sales, and project close. At the time of the project, the company was running approximately 12 full development projects with over 50 individual residential buildings in active planning or construction.
Development planning complexity
Every development project required hundreds of interconnected assumptions across pricing, technical-economic parameters, cost estimates, construction schedules, financing structures, sales plans and indirect project costs.
A change in one assumption could affect profitability, financing requirements, cash flow and investment returns across the entire project lifecycle.
The organisation operated across multiple legal entities, with separate finance, estimation (PTO), sales, and project management functions. Each function had its own tools, models, and data flows — none of which were connected to each other.
The project was delivered with a high level of professionalism and expertise, resulting in a solution that fully met our requirements and supported the transition to a modern planning platform.
Financial and Administrative Director, large real estate developerBusiness Challenge & Objectives
Developing large residential complexes requires tight integration between technical-economic assumptions, construction phases, investment budgets, sales plans, and financing. In practice, all of these processes were completely fragmented at the client's organisation.
Fragmented Decision Architecture
| Planning Area | Challenge |
|---|---|
| Pricing | No consistent approach for market-based pricing and competitor benchmarking |
| Technical-Economic Parameters | TEP assumptions maintained separately from financial planning |
| Cost Estimation | Detailed construction costs disconnected from investment models |
| Financing | Alternative loan structures evaluated manually outside planning models |
| Sales Planning | Revenue assumptions maintained outside investment models |
| Scenario Planning | No consistent versioning or comparison across planning domains |
Consequences
| Pain point | Impact |
|---|---|
| Scattered Excel models across teams | Finance, estimation, sales, and project management worked in separate models — dozens of files, no shared source of truth |
| No traceability | Impossible to follow the link from an assumption (price per m², construction pace) to the final figures in reports |
| Slow scenario analysis | Changing a single variable took days of manual rework across multiple teams and spreadsheets |
| Low business ownership | Models were built by individuals; the organisation could not maintain them independently |
| No version control | No way to compare project scenarios across phases (concept → outline → detailed project) |
My Role
I led the project as Project Manager, Business Analyst and Solution Architect simultaneously, managing a team of approximately 7 consultants across the full project duration.
- ✓Project management and coordination of a ~7-person consulting team
- ✓Business analysis and requirements discovery with finance, estimation, sales and project management teams
- ✓Designed the information architecture connecting pricing, estimation, financing, sales and investment planning into a unified decision-support model
- ✓Translation of business requirements into planning models and decision-support structures
- ✓Knowledge transfer and training to ensure independent client ownership post-engagement
I worked closely with finance leadership and business users to iteratively refine requirements and deliver a solution aligned with evolving business needs.
Business Results
The project established a shared planning environment connecting finance, estimation, sales and project management across the development portfolio.
- ✓Consistent investment evaluations across approximately 12 development projects using a common planning methodology.
- ✓Ability to compare alternative financing, pricing and construction scenarios before committing investment decisions.
- ✓Greater transparency of project profitability drivers across the full development lifecycle.
- ✓Faster evaluation of investment scenarios and project assumptions, reducing analysis cycles from days to minutes.
- ✓Reduced dependency on individual spreadsheet owners and improved organisational ownership of planning processes.
Transformation: before and after
Before
- Disconnected planning processes
- Limited transparency across projects
- Scenario analysis required significant manual effort
- Reliance on spreadsheet owners
- Inconsistent assumptions across departments
After
- Shared planning environment
- Portfolio-wide visibility
- Scenario analysis in minutes
- Organisational ownership of planning
- Consistent assumptions across business functions
Solution
At the core of the solution was the Developer Project Model (DPM) — a decision-support architecture designed to connect fragmented planning domains into a single framework for investment evaluation, scenario analysis and portfolio planning.
Information Architecture
The core challenge was not technology but information fragmentation.
Project planning, technical-economic assumptions, investment budgets, sales forecasts and financing models existed as separate information domains maintained by different teams.
The project established a shared information architecture connecting these domains into a single planning environment where changes in one area automatically propagated across all related plans and financial projections.
Decision Traceability Architecture
Key planning decisions depended on the interaction between pricing, technical-economic assumptions, cost estimation, financing, sales planning and construction schedules. Changes in any of these drivers affected project profitability, financing requirements and investment outcomes.
Scenario & Version Planning
Planning domains were modelled independently, allowing finance, estimation, sales and project teams to evaluate alternative assumptions without rebuilding the entire planning model. Selected scenarios could then be combined into complete project versions for investment evaluation and decision-making.
Version planning made it possible to compare alternative project strategies, evaluate financing structures, test market assumptions and understand the impact of changing conditions before committing investment decisions.
Delivery Approach
Duration: 12 months
Approach: Iterative delivery focused on establishing a shared planning architecture across pricing, estimation, financing, sales and project planning. Planning models and business logic were refined continuously through stakeholder collaboration and validation against active development projects.
Key activities
- ✓Business process analysis and requirements discovery
- ✓Information architecture and planning model design
- ✓Integration of finance, sales, project and estimation data
- ✓Iterative model development and validation with live projects
- ✓User training, knowledge transfer and adoption support
Key Takeaway
The project established a shared decision-support architecture connecting market assumptions, technical-economic planning, construction estimation, financing, sales forecasting and cash flow management into a single investment planning environment.
Rather than improving reporting, the initiative transformed how development decisions were evaluated, compared and governed across the project portfolio.