Data and analytics

Founded in 1998, Liases Foras began its journey with rating real estate projects. From the very beginning Liases Foras strived to collect structured data on real estate market through scientific and research based methodology. Over time Liases Foras has shaped up as the largest repository of organized and structured database on real estate sector in the country. Nuggets of primary data collected by our team acts like a goldmine of information for industry stakeholders. Touted as the foremost authority in real estate sector, unbiased data and analytics commissioned by us are trusted equally by banks, fund houses, financial institutions, developers as well as the government.

It was in 2003 that we embarked upon the process of primary data collection for property market research at a massive level. Maharashtra Chamber of Housing Industry (MCHI) asked to us carry out comprehensive mapping of residential, commercial and retail market segments in Mumbai Metropolitan Region (MMR) along with detailed study of existing and proposed infrastructure development in MMR.

Sensing immense potential in the real estate sector, HDFC asked us to capture property market data across top-6 real estate markets (Mumbai Metropolitan Region, National Capital Region, Bengaluru, Chennai, Hyderabad and Pune) in the country in 2006. We expanded our coverage to 26 cities in 2011 soon after Axis bank gave us the mandate to track realty market dynamics in tier-II cities as well besides the top-6 market.

We leaped forward yet again in 2014 when India’s apex financial institution for housing, National Housing Bank (NHB) asked us to track 100 census cities including all state capitals and smart cities. At present our coverage spans over 60 cities, 13,179 sub-localities, over 11,000 developers and 77,61,533 number of units. Our products empower a user to divide 13,179 sub-localities into 1,748 PIN codes.

(NHB) uses Liases Foras’ primary data and turnkey solution to prepare Housing Price Index (HPI) @ market prices for under construction properties. During formulation and implementation of Real Estate (Regulatory and Development) Act, 2016 ministry of housing and urban affairs relied upon our inputs.

To meet the growing demand of empirical data, Liases Foras has started accessing registration data too. We have also started maintaining secondary market data for rental and outright transactions with the help of online and intermediary sources. Using machine learning methods, data collected from multiple sources (primary, secondary and registration) is churned into meaningful insights for quick, yet efficient decision making.

Our competitive data-backed products such as Ressex, Desktop Feasibility Solution (DFS), CRYSTAL, Opportunity Identification for Home Loans (OPPS) and Desktop Valuation (DV) offer advanced high-tech mapping and automated analysis of overall geography, region, suburb, micro-market, municipal ward, PIN code. User also has the flexibility to draw his/her own catchment on Google Map through our products to assess strength and weakness at a single click. Through our products, stakeholders can compare and analyse production, performance (supply, unsold and transactions), price trends of different asset classes and budget segments of selected projects.

How our data and analytics can help:

• Stakeholders can gain analytical results to understand their target group
• Leverage analytics for business growth and in It was in 2003 that wecreased profitability
• Spot emerging trends in order to formulate strategy in time
• Cull out specific but highly accurate information to maintain competitive edge
• Can integrate firsthand industry data with in-house tool and dashboard for quick decision making