Real Estate_北京智达方通科技有限公司

Real Estate
Real Estate Industry EPM Solutions

In recent years, increasing global economic uncertainty and risks have cast a sense of crisis over the world economy. A global economic downturn has almost become a consensus. At this critical juncture, the real estate industry faces both major opportunities and challenges. Policies promoting de-bubbling and deleveraging in the financial sector have pushed the industry into a period of deep adjustment, intensifying market competition and rapidly increasing market concentration. The "Internet Plus" initiative, the national big data strategy, and the rapid development of new urbanization are placing higher demands on real estate companies in terms of innovation, core competitiveness, and professional management capabilities.

Industry Pain Points
01
High Cash Flow Risk
The real estate industry is characterized by its "three highs": high profitability, high debt, and high risk. This makes healthy and stable cash flow critical to corporate survival. Under a high-leverage model, any disruption in cash flow—even amid strong paper profits—can quickly trigger a financial crisis. This reality requires companies to focus not only on profit generation but also on effective cash flow management and forecasting to ensure funding stability.
02
Complex Project Budgeting
Within the cost structure of real estate companies, engineering project costs represent the largest, most complex, and hardest-to-control portion. Given these "three extremes," project budgeting occupies a central role in the comprehensive budget management system. A major challenge for real estate firms is how to further optimize cost structures without compromising project quality.
03
Difficulty Balancing Progress and Financials
Cross-year projects are common in real estate due to their long cycles. This leads to an inherent timing misalignment between accounting profits and cash flows. Accounting profits are often recognized on an accrual basis, while cash flows reflect actual fund movements. Companies must accurately track project progress, align funding and revenue recognition with milestones, and skillfully balance accounting profits with cash flow needs to avoid significant financial volatility.
Services & Solutions
  • Unified Master Data Management Solution

  • Top-Down and Bottom-Up Integrated Budgeting Process

  • Standardized Operational Forecasting Model

  • Scientific Strategic Forecasting Model

  • Monthly and Annual Profitability Forecasting

  • Post-Investment Data Collection and Full Project Monitoring

  • Risk Early-Warning for Schedule and Budget Variance

  • Rapid-Response Sensitivity Analysis Model

Unified Master Data Management Solution
Real estate project master data includes personnel, projects, phases, formats, area metrics, development milestones, accounts, and organizations. Intcube EPM establishes a unified management mechanism for phases, formats, and area metrics, enabling various departments to collaborate through a standardized group-wide “common language” platform.
Top-Down and Bottom-Up Integrated Budgeting Process
The real estate industry emphasizes financing costs and project cost control. Intcube EPM integrates operational plans with financial budgets, linking project progress with payment schedules. Delays in handover plans and key milestones may lead to reduced annual revenue recognition and higher financing costs. The system supports a collaborative budgeting process with layered preparation, step-by-step review, and centralized coordination. Departments fulfill their respective responsibilities while the group oversees organization and alignment. This ensures that budgets at all levels are consistent with group strategy. Strategic goals are communicated top-down, and budgets are built bottom-up, with iterative communication refining the alignment between group objectives and operational realities. Throughout the process, data standards, sources, models, granularity, and logic are unified, breaking down barriers between operational and financial budgeting. Real-time data integration supports multi-dimensional analysis of forecasts, actuals, targets, and trends.
Standardized Operational Forecasting Model
Full project-cycle calculation is essential for profitability management. Accurate target cost estimation and payment scheduling require mature cost models. A cost database helps allocate resources efficiently, ensuring critical spending where it matters most. Intcube EPM draws on industry best practices to establish structured cost planning models. Project lifecycle forecasting covers dimensions such as organization, account, product type, and period—spanning from business plans to financial statements. It includes planning metrics, sales forecasts, development schedules, cost plans, expense budgets, tax plans, financing plans, and statement projections, enabling real-time monitoring of operational performance.
Scientific Strategic Forecasting Model
Intcube EPM supports strategic forecasting mechanisms for both ongoing and land acquisition projects. By combining full-cycle projections of active projects with land acquisition simulations, the system generates group-level scenario analysis. Comparison with strategic objectives highlights gaps and supports land investment decisions. Results are displayed in a management cockpit, making strategic forecasting a practical tool for execution and control.
Monthly and Annual Profitability Forecasting
Cash flow, profit, and operational capability are perpetual priorities. Cash flow determines short-term survival, profitability long-term sustainability, and operational strength underpins both. Monthly rolling fund plans and dynamic profit forecasts are essential management instruments—yet many firms still rely mainly on annual reviews. Intcube EPM supports detailed lifecycle forecasting aligned with strategic goals. Through monthly “reviews and replans,” it captures lessons from project development and systematizes results. Pre-construction versions (feasibility, positioning, planning, execution) are prepared, and monthly tracking post-commencement compares results with current and prior forecasts. Multi-version analysis provides data-backed performance assessment.
Post-Investment Data Collection and Full Project Monitoring
The full-cycle forecasting plan is system-driven. Intcube EPM automatically collects actual data from operational and financial systems, reducing manual effort and improving timeliness. Key metrics like project IRR and profit margins are dynamically updated, enabling end-to-end project monitoring. Sandbox simulations allow sensitivity analysis by adjusting variables like product mix, selling price, and development pace—supporting rapid decision-making for single or multiple projects.

Finally, the comprehensive budget control system helps establish a unified group-wide data platform. A data warehouse built on Intcube EPM and other systems enhances communication across departments and levels. The management cockpit improves visibility into operations and goal attainment, supporting rapid business growth.
Risk Early-Warning for Schedule and Budget Variance
Real estate projects often span 2–3 years or more, with some exceeding a decade, introducing prolonged risk and uncertainty. Capital-intensive operations demand rigorous cash flow management—not only at group and city levels but also per project—along with prudent financing planning to avoid liquidity risk. Intcube EPM enables early risk detection and warning through full-cycle forecasting, allowing preemptive control.
Rapid-Response Sensitivity Analysis Model
Intcube EPM supports sandbox simulation for projects/phases. By adjusting sensitive factors—product configuration, unit price, progress, etc.—users can quickly perform sensitivity analysis for single or multiple projects. Dynamic recalculation of IRR and other metrics provides data support for project planning and decisions. For example, simulating the impact of a price increase or a delayed launch on revenue, net profit margin, and IRR.
  • Unified Master Data Management Solution

    Real estate project master data includes personnel, projects, phases, formats, area metrics, development milestones, accounts, and organizations. Intcube EPM establishes a unified management mechanism for phases, formats, and area metrics, enabling various departments to collaborate through a standardized group-wide “common language” platform.
  • Top-Down and Bottom-Up Integrated Budgeting Process

    The real estate industry emphasizes financing costs and project cost control. Intcube EPM integrates operational plans with financial budgets, linking project progress with payment schedules. Delays in handover plans and key milestones may lead to reduced annual revenue recognition and higher financing costs. The system supports a collaborative budgeting process with layered preparation, step-by-step review, and centralized coordination. Departments fulfill their respective responsibilities while the group oversees organization and alignment. This ensures that budgets at all levels are consistent with group strategy. Strategic goals are communicated top-down, and budgets are built bottom-up, with iterative communication refining the alignment between group objectives and operational realities. Throughout the process, data standards, sources, models, granularity, and logic are unified, breaking down barriers between operational and financial budgeting. Real-time data integration supports multi-dimensional analysis of forecasts, actuals, targets, and trends.
  • Standardized Operational Forecasting Model

    Full project-cycle calculation is essential for profitability management. Accurate target cost estimation and payment scheduling require mature cost models. A cost database helps allocate resources efficiently, ensuring critical spending where it matters most. Intcube EPM draws on industry best practices to establish structured cost planning models. Project lifecycle forecasting covers dimensions such as organization, account, product type, and period—spanning from business plans to financial statements. It includes planning metrics, sales forecasts, development schedules, cost plans, expense budgets, tax plans, financing plans, and statement projections, enabling real-time monitoring of operational performance.
  • Scientific Strategic Forecasting Model

    Intcube EPM supports strategic forecasting mechanisms for both ongoing and land acquisition projects. By combining full-cycle projections of active projects with land acquisition simulations, the system generates group-level scenario analysis. Comparison with strategic objectives highlights gaps and supports land investment decisions. Results are displayed in a management cockpit, making strategic forecasting a practical tool for execution and control.
  • Monthly and Annual Profitability Forecasting

    Cash flow, profit, and operational capability are perpetual priorities. Cash flow determines short-term survival, profitability long-term sustainability, and operational strength underpins both. Monthly rolling fund plans and dynamic profit forecasts are essential management instruments—yet many firms still rely mainly on annual reviews. Intcube EPM supports detailed lifecycle forecasting aligned with strategic goals. Through monthly “reviews and replans,” it captures lessons from project development and systematizes results. Pre-construction versions (feasibility, positioning, planning, execution) are prepared, and monthly tracking post-commencement compares results with current and prior forecasts. Multi-version analysis provides data-backed performance assessment.
  • Post-Investment Data Collection and Full Project Monitoring

    The full-cycle forecasting plan is system-driven. Intcube EPM automatically collects actual data from operational and financial systems, reducing manual effort and improving timeliness. Key metrics like project IRR and profit margins are dynamically updated, enabling end-to-end project monitoring. Sandbox simulations allow sensitivity analysis by adjusting variables like product mix, selling price, and development pace—supporting rapid decision-making for single or multiple projects.

    Finally, the comprehensive budget control system helps establish a unified group-wide data platform. A data warehouse built on Intcube EPM and other systems enhances communication across departments and levels. The management cockpit improves visibility into operations and goal attainment, supporting rapid business growth.
  • Risk Early-Warning for Schedule and Budget Variance

    Real estate projects often span 2–3 years or more, with some exceeding a decade, introducing prolonged risk and uncertainty. Capital-intensive operations demand rigorous cash flow management—not only at group and city levels but also per project—along with prudent financing planning to avoid liquidity risk. Intcube EPM enables early risk detection and warning through full-cycle forecasting, allowing preemptive control.
  • Rapid-Response Sensitivity Analysis Model

    Intcube EPM supports sandbox simulation for projects/phases. By adjusting sensitive factors—product configuration, unit price, progress, etc.—users can quickly perform sensitivity analysis for single or multiple projects. Dynamic recalculation of IRR and other metrics provides data support for project planning and decisions. For example, simulating the impact of a price increase or a delayed launch on revenue, net profit margin, and IRR.
Case Studies
Collaborate With Us