Develop a data-driven dashboard that enables real estate developers to perform site due diligence efficiently.

Integrate multiple data sources (e.g., zoning regulations, demographic data, market trends, and environmental factors) into a unified real-time decision-making tool.

Utilize predictive modeling and data visualization to assess property investment potential and risk factors.

Provide actionable insights for real estate developers, helping them make informed site selection decisions.

Phase 1: Data Collection & Preprocessing.

• Identify and acquire relevant public and proprietary datasets (e.g., property values, zoning laws, population demographics, economic indicators, transportation access, and environmental risks).
• Clean and preprocess the data for analysis, ensuring quality, consistency, and accuracy.
• Conduct exploratory data analysis (EDA) to identify patterns, correlations, and potential data gaps.

Deliverable:

• Data repository with structured datasets and documentation on data sources and preprocessing steps.

Phase 2: Data Analysis & Modeling

• Implement predictive modeling using Python/R/SAS to forecast property value appreciation, rental demand, and investment risks.
• Conduct segmentation analysis to classify real estate opportunities based on risk-return profiles.
• Develop time series analysis to forecast real estate trends and market fluctuations.
• Perform geospatial analysis to assess site accessibility, neighborhood development potential, and environmental risks.

Deliverable:

• Technical report on predictive models, key insights, and statistical methodologies used in analysis.

Phase 3: Dashboard Development & Data Visualization

• Design and develop an interactive dashboard using Tableau/Power BI to display key decision criteria.
• Integrate real-time data feeds where applicable, such as market trends, zoning updates, and construction projects.
• Provide customizable filters for developers to analyze properties based on their specific investment criteria.
• Optimize user experience to ensure seamless navigation and accessibility for stakeholders with varying levels of technical expertise.

Deliverable:

• A fully functional prototype of the dashboard, along with a user manual.

Phase 4: Final Presentation & Recommendations

• Prepare a comprehensive research summary and executive report, detailing:
• Data sources, methodologies, and analytical frameworks used.
• Dashboard functionalities and key insights derived from the data.
• Recommendations for improving site selection processes in real estate development.