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Case study

Boosting Project Visibility and Reducing Risk with Real Estate Analytics5.0 rating5 Stars Rated On Clutch

Boosting Project Visibility and Reducing Risk with Real Estate Analytics

Industry

Real Estate & Construction

Services Used

Business Intelligence (BI), Data Analytics, Power BI

Region

India

Engagement Model

End to End Project Lifecycle Management

Function/Department

Financial Planning and Analysis (FP&A)

Summarize with AI:

About Client

  • A prominent Indian real estate developer with over 35 years of expertise in the industry. 
  • Headquartered in Mumbai, the company excels in residential, commercial, and township projects across 10+ major cities. 
  • Known for its innovation, sustainability, and excellence, the organization employs over 2,000 people. It is publicly listed on NSE and BSE and has a market capitalization of approximately ₹30 Crore.

Problem STATEMENT

When sat for the first round of discussion, the client highlighted these issues in their workflow:

Inadequate Tracking of Milestone Performance

The client struggled to track the performance of their collectible base across milestone types such as construction-linked, time-linked, and hybrid milestones. This lack of a robust monitoring system resulted in limited visibility of:

  • Whether payments adhered to predefined schedules.
  • Deviations or delays in payment compliance with milestone plans.

Limited Insight into Shortfalls and Delays

The absence of a system for tracking payment shortfalls and delays against milestones hindered the early identification of risks. Without actionable insights, addressing potential bottlenecks in payment flows was challenging.

Challenges in Financial Planning Due to Dynamic Changes

The inability to dynamically compare baseline financial plans with actual progress posed difficulties in:

  • Adjusting financial strategies effectively.
  • Responding to changes or delays in milestone payment schedules.

Solution

A comprehensive solution was designed and implemented to address the client’s challenges.

Interactive and Dynamic Power BI Dashboard

A user-friendly dashboard was developed to:

  • Seamlessly track collectible performance.
  • Provide real-time updates on milestone progress.

Integration with Financial Planning Processes

The dashboard was designed to align closely with the client’s financial workflows, bridging the gap between milestone tracking and financial strategy adjustments.

High-Level and Granular Insights

The solution catered to stakeholders by offering both:

  • High-level summaries for management.
  • Granular, milestone-specific data for operational teams.

Flexible Baseline Comparisons

Dynamic comparisons between actual performance and baseline plans were integrated, enabling stakeholders to:

  • Identify deviations early.
  • Take corrective actions proactively.

Hierarchical Drill-Down Capabilities

Drill-down features allowed users to:

  • Navigate from overarching trends to specific milestone details.
  • Conduct detailed analysis to uncover root causes.

Technical Implementation

Data Integration from Multiple Sources

  • Azure Synapse for centralized data warehousing.
  • Asta Server for milestone and project management data.
  • SharePoint for document storage and collaboration.

Data Transformation
Data was processed with Power Query to ensure consistency and accuracy before visualization.

Dynamic Logic for Baseline Comparisons
Custom logic was implemented within Power BI for real-time baseline vs. actual performance comparisons.

Advanced Visualization Techniques
Conditional formatting in Power BI dynamically highlighted deviations, shortfalls, and delays.

Scalable Reporting
Dashboards were built with DAX and Power BI tools to support intuitive and scalable reporting for future needs.

Technical Architecture

Godrej

Business Impact

  • Enhanced Visibility into Performance Monitoring
    Implementing the dashboard significantly improved the client’s ability to monitor collectible performance across various milestones. This increased visibility into project progress by approximately 40%, enabling better tracking and accountability.
  • Improved Data Accuracy and Reliability
    The solution ensured higher data accuracy and consistency by integrating data from Azure Synapse, Asta Server, and SharePoint. Reporting errors and discrepancies were reduced by nearly 30%, enabling more reliable decision-making.
  • Streamlined Operational Efficiency
    Automating milestone tracking and data analysis minimized manual efforts by approximately 50%, freeing up resources and enhancing overall operational efficiency.
  • Proactive Risk Management
    Automated insights provided early detection of delayed milestones and collectible base aging. These capabilities allowed stakeholders to identify potential bottlenecks proactively, improving risk mitigation efforts by approximately 35%.
  • Future-Ready Analytics Architecture
    The solution established a scalable and adaptable analytics foundation, allowing the client to expand capabilities as needed.

The custom BI dashboard transformed the client’s approach to milestone tracking and financial planning. By providing real-time insights, proactive risk management tools, and seamless integration with existing workflows, the solution addressed immediate challenges while laying the foundation for future analytics capabilities.

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Frequently Asked Questions(FAQs)

How do I know if a solution like this is right for my business?

A solution like this is a good fit if your teams spend more time collecting and reconciling data than acting on it, if reports from different departments do not match, or if decisions depend on delayed or manual reporting. It also fits when your data is growing in volume or sources, and your current setup struggles to keep up.

DataToBiz starts with a discovery call to review your goals, data sources, and reporting gaps. You get a clear view of the expected outcomes, effort, and timeline before any commitment.

Can DataToBiz customize the solution for my industry and current data setup?

Yes. Every solution DataToBiz delivers is configured around your industry, business processes, and existing data environment. The team assesses your current systems, data quality, and reporting needs first, then designs a solution that works with what you already have instead of replacing it. This applies across industries such as manufacturing, retail, healthcare, finance, and logistics, and across setups ranging from legacy databases to cloud data platforms.

Which tools, platforms, and data sources does DataToBiz work with?

DataToBiz works across the major analytics, cloud, and data engineering stacks. For BI and visualization, this includes Power BI, Tableau, and Looker. For cloud platforms, it includes Microsoft Azure, AWS, and Google Cloud. For data warehousing and processing, it includes Snowflake, Databricks, and SQL-based databases. Data sources include ERP and CRM systems, spreadsheets, APIs, IoT and sensor data, and third-party applications.

If your stack includes a tool not listed here, the team can assess compatibility during discovery.

How long does a project like this take with DataToBiz?

Most projects with DataToBiz take from a few weeks to a few months. The timeline depends on how ready your data infrastructure is for the initiative and how many systems need to connect. Smaller solutions go live quickly, while larger programs roll out in phases so you see value early. After an initial discovery call, you receive a timeline with clear milestones.

How does DataToBiz keep my data secure and compliant during the entire engagement?

Security and governance is part of the plan from the first conversation. DataToBiz works within your security policies and follows the regulations that apply to your industry. The project usually Access stays limited to the people who need it, and confidentiality terms cover the engagement from kickoff to handover.

What support and results can I expect after the solution goes live?

The work does not stop at go-live. Your team gets a proper handover and guidance on using the solution, and DataToBiz stays available for questions and improvements. The business impact of the project is measured against the goals set at the start, so you can see exactly what changed for your company.

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