Want to know consumer characteristics at a granular level. Want to identify potential markets. How much do people earn, spend and save? Where do your products fit?

The Edifice

• Millions of data points, across thousands of cities, districts, and rural markets • On every aspect of human activity and consumer markets • Using expertise developed in long term partnerships with researchers at Cambridge, Harva . • And endorsed by rigorous practitioners such as RBI, Finance Commission.
 
Proprietary Estimation Model Large raw data sets Large aggregated data sets Samples representing over 2 million Over 20 years time series Over 20 years time series households National Sample Surveys, NDSSPI, Reserve bank of India, Census of India, Central NFHS, Proprietary surveys, Economic Statistical Organization, Ministry of Finance, Survey of India, ASI, Others ASI, SSI commission, Proprietary data sets. ECONOMETRIC MODELING, STATISTICAL ANALYSIS, NEURAL N Identify at a sub-district level Calibrate Distribution of assets, incomes, expenditures and savings Based on latest data Key drivers – capital flows, infrastructure, and human capital releases of CSO, Registrar General of Macro-economic conditions India and others

To find precise estimates of a Rang Incomes, expenditure, growth, savings, At various geographic levels investment, habits, society, development, infrastructure, housing… Separated for urban and rural segments

Which go into a range of products…………………
District GDP of India, Market Skyline of India, City Skyline of India, Indian Financial Scape, Indian Development Landscape, Housing Skyline of India, City Skyline of India – Neighbourhood Series …………………

To address different needs http://www.indicus.net//
For a range of purposes Know consumer characteristics Prioritize & rank markets Identify demand potential of select locations Business Identify Potential Markets expansion Market Monitor sales Analyze Markets Products efforts Benchmark sales Deliver services against potential Target where they are locations required

It is Not just surveys, but much more………
It involves analyzing very large survey data sets over long time series……… It involves analyzing very large aggregated data sets over long time series……… It involves applying econometrics, statistical analysis, neural networks and other techniques……… It involves cross referencing and calibration with reliable authoritative sources……… It involves conducting fresh surveys to fill in the gaps……… It includes developing heuristics to find solutions……… …………………

To finally arrive at robust estimates at extremely granular levels.