I want to identify consumer characteristics and potential markets in India at a granular level using reliable data. The data comes from millions of data points across thousands of cities and rural areas covering every aspect of human activity and consumer markets over 20 years. Econometric modeling, statistical analysis, and neural networks are used to identify income distribution, expenditures, savings, and key drivers at the sub-district level based on the latest data from authorities. Estimates are made for a range of parameters at various geographic levels separated for urban and rural segments.

1. I want to know consumer characteristics at a granular level I want to identify potential markets Reliable data on India How much do people earn, spend and save? Where do my products fit?

3. Large raw data sets Over 20 years time series National Sample Surveys, NDSSPI, NFHS, Proprietary surveys, Economic Survey of India, ASI, Others Large aggregated data sets Over 20 years time series Reserve bank of India, Census of India, Central Statistical Organization, Ministry of Finance, ASI, SSI commission, Proprietary data sets. ECONOMETRIC MODELING, STATISTICAL ANALYSIS, NEURAL NETWORKS Identify at a sub-district level Distribution of assets, incomes, expenditures and savings Key drivers – capital flows, infrastructure, and human capital Macro-economic conditions Calibrate Based on latest data releases of CSO, Registrar General of India and others Proprietary Estimation Model Samples representing over 2 million households

4. Incomes, expenditure, growth, savings, investment, habits, society, development, infrastructure, housing… To find precise estimates of a Range of Parameters At various geographic levels 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 ………………… To address different needs

5. For a range of purposes Analyze Markets Monitor sales efforts Benchmark sales against potential Market Products Identify Potential Markets Target locations Know consumer characteristics Business expansion Identify demand potential of select locations Deliver services where they are required Prioritize & rank markets

6. 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.