Value Discovery: Real Estate transactions involve very high per unit cost. Often buyer is investing their lifetime savings in real estate. For all stakeholders – including builders, lenders, buyers and communities – the decision  making process is fairly complex with high risk of making a wrong choice.


Our approach to Real Estate Analytics is a scientific process of transforming data into insight for making better, accurate decisions. Real Estate Analytics is use of information from different sources, application of Information Technology coupled with statistical analysis, quantitative methods and mathematical modeling – to gain improved insight about real estate transactions.


We develop Predictive Analytics based Real Estate Model for each locality – by organising information from numerous sources. The model involves over 300 parameters covering apartment and building design, buyer preferences, market dynamics, locality and neighborhood quality, accessibility, security, various investment and financing considerations. These models are customised for individual project.


Benefits of Real Estate Analytics:

  • Quality and relevance in decision-making
  • Cost efficiency, improving investment returns
  • Dashboards providing real time data and information
  • Improving competitiveness
  • Synergy in financial and operational thinking
  • Improving value for buyers, reducing risk
  • Increase revenues for builders, lenders
  • Community level planning




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