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.
