Frequently Asked Questions about Indicus Analytics Products

Software v/s Excel data sheet
The product is offered with a s...
Subsequently, you will be led to the main screen. The main features are Query selection,
         Results, Maps and Report...
The district Classifications are given below
Alpha Districts
State             District       State         District      ...
Beta Districts
State            District        State           District          State           District
Tamil Nadu     ...
Gamma Districts
State           District          State           District         State           District
              ...
Delta Districts
State             District         State           District          State             District
          ...
State           District           State           District          State         District
                              ...
Combined brief of products
Indian Financial Scape - For all 593 districts, (Across Income classes, Socio economic classes,...
Individual brief - Market Skyline of India
For all 593 districts, the product contains information on Consumer markets and...
   Credit and Savings – Penetration, Amounts, Growth - across economic sectors, across
    establishments (PO, Banks, Coo...
Purpose
- Easily mine-able information to marketers in order to enable them to target their sales and marketing.
- To prov...
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Frequently Asked Questions about Indicus Analytics Products

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Frequently Asked Questions about Indicus Analytics Products

  1. 1. Frequently Asked Questions about Indicus Analytics Products Software v/s Excel data sheet The product is offered with a software package. The package allows the user to navigate, select locations, data points and extract data. The data can be extracted as a spreadsheet, as graphs, as thematic maps. Additionally, there are in-built pdf files with brief profiles. It is possible for a user to select all the data points and all the locations (dist/ city) and extract the entire data set as a single spreadsheet. The objective of the product is to allow the user to navigate easily, create meaningful extracts, extract data in a form that allows further processing and analysis Variants to service different needs The products usually have two versions – Premium and Basic. The premium version has all the data points, whereas the basic version has lesser data points. Typically, the premium version will have normally about twice the data points of basic version. The dummy database provided clearly mentions which data points are available in the basic version. Additionally, we provide the following variants in our district/ city level products:  All the product variables are classified into broader categories in each product. These categories may vary from 3-10 in different products. A buyer can, in some of the products buy some of the broader categories for all the geographical units.  A buyer can buy all variables for a state or a set of up to 7 states (district level products only)  A buyer can buy only state level data for all the states of India (this option is available in MSL only)  A buyer can buy all variables for a region (the country is divided into 4 regions – North, south, east and west) (district level products only)  A buyer can buy all variables for any of the following sets of districts, or for a combination of these sets (1,2,3 or all 4 sets) o The alpha districts (the top 60 by market size) o The beta districts (the next 120 by market size) o The gamma districts (the next 150 by market size) o The delta districts (the rest of the districts)  For city level products (CSL, HSL), a buyer can buy all variables for any of the following sets of cities, or for a combination of these sets (1,2,3 or all 4 sets) o The alpha cities (the top 10) o The beta cities (the next 20) o The gamma cities (the next 20) o The delta cities (the rest of the cities)  Only in the rarest of rare cases do we go beyond the above variants. A buyer can buy multiple copies of a product. This is in the form of installation keys. The prices for additional keys are as follows  10% of product price for each additional key (1-4 additional keys)  8% of product price for each additional key (5-9 additional keys)  6% of product price for each additional key (10-15 additional keys)  In case more keys are required, the prices are 3% of product price or Rs 5,000 each whichever is higher. Discounts We normally do not have discounts on a single product, but we try an accommodate customers who have a long term relation with us. For multiple product purchases in one go we offer the following standard discounts –  5% of the total amount for two products  10% of the total amount for three products  15% of the total amount for four products  20% of the total amount for five products The Product Software All Indicus Premium Databases come with a query software. The software interface is similar for all our products. The software needs to be installed with a user key, which is generated for a single PC. Multiple keys are provided as a charged service. Once installed, you are ready to start. The first screen is the user access screen where you can set your password.
  2. 2. Subsequently, you will be led to the main screen. The main features are Query selection, Results, Maps and Reports. Query selection allows you to select the state, the district, the variable and the year. The districts displayed are those for the states selected only. However one can select all the states, in order to select all the districts. The variables can be selected from the scroll box. One can select multiple variables in one go. In order to see the detailed definition of any variable one can use the right click function, which will open up a definition window. The last item for selection is the year for which data is to be extracted. You then ask for data or maps Outputs The outputs of the query are in two forms – results worksheet and painted maps. The worksheet functions like a standard spreadsheet and also allows you to save the query results as an excel sheet. It further allows you to create graphs and charts which are feature rich and can be saved as picture files separately and used to add value to your standard presentations which may be in applications such as the standard power point Graphs and Maps The mapping function is an additional feature which allows you to represent the data on maps for added punch to your presentations. The maps can also be exported as image files to be added to your standard presentations. The software allows you to change the colors and to vary the scales. In built Reports For those in a hurry and wanting quick snapshots, we have created in built one page reports on each of the smallest geographic unit (district/ city) which display some of the data. These reports can be extracted in two ways. The first way is to go to the reports menu, select the district/ city desired and extract. An acrobat pdf window will open up with the report On the other hand, while on the maps, one can place the cursor on a district/ city and extract the reports from there The entire data set can be extracted and used for various analysis. Additionally, a user can insert his own data into the results sheet (say district level sales data) and conduct analysis. The city classifications are as follows  Alpha cities - The Elite Club of 10 - Kolkata, Chennai, Hyderabad, Coimbatore, Ahmadabad, Delhi, Bangalore, Pune, Surat, Mumbai  Beta Cities - On-the-threshold cities - Kanniyakumari, Madurai, Salem, Kanpur, Jamshedpur, Asansol, Lucknow, Patna, Jaipur, Urban Areas in North 24 Parganas, Indore, Nagpur, Bhopal, Vadodara, Kancheepuram, Kochi, Thiruvallur, Ludhiana, Faridabad, urban areas of Thane dist  Gamma Cities - Upcoming cities - Thiruvananthapuram, Amritsar, Vellore, Jabalpur, Haora, Dhanbad, Vijayawada, Hugli, Tiruchirappalli, Jalandhar, Visakhapatanam, Rajkot, Guwahati, Kolhapur, Ghaziabad, Urban Areas in Rangareddi, Aurangabad, Nashik, Goa, Chandigarh  Delta Cities - Budding centers - Imphal, Agra, Varanasi, Moradabad, Bareilly, Allahabad, Gulbarga, Behrampor, Meerut, Bikaner, Thanjavur, Kozhikode, Jodhpur, Bokaro, Solapur, Agartala, Anantapur, Shillong, Ajmer, Kharagpur, Jalpaiguri, Udaipur, Urban Areas in South 24 Parganas, Ranchi, Guntur, Gwalior, Nellore, Mysore, Bhavnagar, Kota, Jamnagar, Thrissur, Bathinda, Durg-Bhilai, Nanded, Cuttack, Patiala, Raurkela, Kannur, Raipur, Belgaum, Dehradun, Kohima, Hisar, Ambala, Daman, Pondicherry, Panipat, Port Blair, Mangalore, Aizawl, Gurgaon(old), Gangtok, Kavaratti, Rupnagar, Bhubaneshwar, Gandhinagar, Noida, Itanagar, Shimla, Silvassa, Srinagar The Region Classifications are as follows  West Includes Rajasthan, Gujarat, MP, Goa and Maharashtra  East includes Chhatisgarh, Orissa, Bihar, Jharkand, West Bengal, Sikkim and NE states  South includes A&N, Lakshwadeep, AP, TN, Kerala, Pondicherry and Karnataka  North includes UP, Uttaranchal, Delhi, Haryana, Punjab, J&K, HP
  3. 3. The district Classifications are given below Alpha Districts State District State District State District Delhi Delhi West Bengal Hugli Maharashtra Nanded Mumbai Andhra Maharashtra (Suburban) Pradesh Krishna Chhattisgarh Raipur Andhra Maharashtra Thane Haryana Gurgaon Pradesh West Godavari Karnataka Bangalore Rajasthan Jaipur Karnataka Belgaum Maharashtra Pune West Bengal Murshidabad Chandigarh Chandigarh Maharashtra Mumbai Gujarat Rajkot Punjab Amritsar Andhra Gujarat Ahmadabad Pradesh East Godavari Maharashtra Ahmadnagar Tamil Nadu Chennai West Bengal Haora Kerala Thiruvananthapuram Andhra Gujarat Surat Pradesh Guntur Maharashtra Raigarh North 24 West Bengal Parganas Maharashtra Jalgaon Uttar Pradesh Kanpur Nagar West Bengal Kolkata Haryana Faridabad Kerala Ernakulam West Bengal Medinipur Gujarat Bhavnagar Jharkhand Ranchi Andhra Andhra Pradesh Hyderabad West Bengal Jalpaiguri Pradesh Kurnool Andhra West Bengal Barddhaman West Bengal Nadia Pradesh Karimnagar South 24 West Bengal Parganas Maharashtra Kolhapur Kerala Malappuram Tamil Nadu Coimbatore Punjab Ludhiana Maharashtra Aurangabad Andhra Andhra Maharashtra Nagpur Pradesh Visakhapatnam Pradesh Nellore Andhra Maharashtra Nashik Tamil Nadu Thiruvallur Pradesh Chittoor Gujarat Vadodara Gujarat Jamnagar Chhattisgarh Durg Andhra Andhra Pradesh Rangareddi Maharashtra Solapur Pradesh Anantapur
  4. 4. Beta Districts State District State District State District Tamil Nadu Salem Bihar Patna Kerala Idukki West Bengal Birbhum Punjab Gurdaspur West Bengal Uttar Dinajpur Karnataka Gulbarga Uttar Pradesh Agra Rajasthan Jodhpur Andhra Andhra Tamil Nadu Erode Pradesh Khammam Pradesh Srikakulam Andhra Pradesh Warangal Gujarat Surendranagar Jharkhand Purbi Singhbhum Andhra Tamil Nadu Vellore Pradesh Adilabad Gujarat Banas Kantha Goa North Goa Tamil Nadu Tiruchirappalli Orissa Mayurbhanj Andhra Pradesh Prakasam Kerala Palakkad Haryana Yamunanagar Gujarat Junagadh Orissa Khordha Rajasthan Udaipur Gujarat Valsad Tamil Nadu Kanniyakumari Jharkhand Bokaro Tamil Nadu Kancheepuram Tamil Nadu Virudhunagar Kerala Alappuzha Karnataka Mysore Orissa Cuttack Uttar Pradesh Bijnor Maharashtra Satara Jharkhand Dhanbad Maharashtra Buldana Kerala Kozhikode Kerala Kollam Tamil Nadu Cuddalore Uttar Pradesh Ghaziabad Haryana Sonipat Tamil Nadu Viluppuram Andhra Pradesh Medak Gujarat Bharuch Karnataka Bangalore Rural Maharashtra Sangli Uttar Pradesh Kheri Uttar Pradesh Aligarh Kerala Thrissur Gujarat Kheda Tamil Nadu Thoothukkudi Tamil Nadu Madurai West Bengal Darjiling Gujarat Anand Gujarat Kachch Maharashtra Yavatmal Chhattisgarh Bilaspur Madhya Pradesh Indore Kerala Wayanad Uttaranchal Hardwar Pashchimi Andhra Pradesh Mahbubnagar Uttar Pradesh Bulandshahr Jharkhand Singhbhum West Bengal Bankura Uttar Pradesh Bareilly Gujarat Sabar Kantha Jammu & Andhra Pradesh Nalgonda Tamil Nadu Thanjavur Kashmir Jammu West Bengal Maldah Jharkhand Hazaribag Haryana Sirsa Punjab Jalandhar Gujarat Amreli Maharashtra Latur Dakshina Karnataka Kannada Rajasthan Alwar West Bengal Puruliya Andhra Maharashtra Amravati Haryana Ambala Pradesh Vizianagaram Orissa Ganjam Uttar Pradesh Moradabad Punjab Firozpur Himachal Tamil Nadu Tirunelveli Karnataka Dharwad Pradesh Kangra West Bengal Koch Bihar Kerala Kannur Maharashtra Akola Andhra Pradesh Cuddapah Gujarat Mahesana Karnataka Shimoga Uttar Pradesh Muzaffarnagar Haryana Karnal Karnataka Bagalkot Madhya Punjab Sangrur Karnataka Tumkur Pradesh East Nimar Assam Kamrup Maharashtra Chandrapur Maharashtra Bid Uttar Pradesh Allahabad Tamil Nadu Dharmapuri Gujarat Gandhinagar Uttar Pradesh Meerut Karnataka Bellary Rajasthan Sikar Andhra Haryana Hisar Pradesh Nizamabad Goa South Goa Uttar Pradesh Lucknow Karnataka Kolar Uttar Pradesh Gorakhpur Jammu & Punjab Patiala Haryana Panipat Kashmir Srinagar
  5. 5. Gamma Districts State District State District State District Gautam Buddha Uttar Pradesh Varanasi Uttar Pradesh Nagar Assam Barpeta Kerala Kottayam Orissa Jajapur Chhattisgarh Bastar Assam Dibrugarh Karnataka Raichur Uttar Pradesh Kushinagar Karnataka Davanagere Orissa Kendujhar Orissa Puri Tripura West Tripura Uttar Pradesh Jaunpur Uttar Pradesh Gonda Maharashtra Ratnagiri Uttar Pradesh Mathura Jharkhand Dumka Maharashtra Parbhani Bihar Muzaffarpur Maharashtra Hingoli Uttar Pradesh Sitapur Karnataka Chitradurga Rajasthan Bhilwara Uttaranchal Dehradun Jharkhand Deoghar Haryana Panchkula Madhya Chhattisgarh Surguja Assam Sibsagar Pradesh Hoshangabad Madhya Haryana Jind Pradesh Chhindwara Rajasthan Pali Maharashtra Dhule Uttar Pradesh Budaun Orissa Sambalpur Haryana Bhiwani Haryana Jhajjar Uttar Pradesh Ballia Madhya Tamil Nadu Namakkal Karnataka Udupi Pradesh Sagar Madhya Pradesh Bhopal Jharkhand Palamu Uttar Pradesh Maharajganj Uttar Pradesh Saharanpur Tamil Nadu Nagapattinam Uttar Pradesh Rae Bareli Rajasthan Nagaur Assam Cachar Tamil Nadu The Nilgiris Udham Singh Pondicherry Pondicherry Uttaranchal Nagar Maharashtra Nandurbar Himachal Punjab Bathinda Rajasthan Hanumangarh Pradesh Shimla Maharashtra Jalna Jharkhand Sahibganj Maharashtra Gondiya Orissa Sundargarh Uttar Pradesh Ghazipur Bihar Gaya Madhya Pashchim Haryana Rohtak Pradesh Gwalior Bihar Champaran Rajasthan Ganganagar Maharashtra Wardha Karnataka Chamarajanagar Madhya Himachal Pradesh Jabalpur Pradesh Solan Bihar Purba Champaran Madhya Gujarat Panch Mahals Rajasthan Jhunjhunun Pradesh Ujjain Tamil Nadu Dindigul Uttar Pradesh Unnao Tamil Nadu Theni Tamil Nadu Tiruvannamalai Uttar Pradesh Etah Uttar Pradesh Mirzapur Rajasthan Bharatpur Orissa Bargarh Uttar Pradesh Fatehpur Chhattisgarh Korba Uttar Pradesh Sultanpur Uttaranchal Nainital Madhya Karnataka Bijapur Orissa Anugul Pradesh Dhar Rajasthan Kota Punjab Kapurthala Uttar Pradesh Bahraich Dakshin Himachal West Bengal Dinajpur Pradesh Mandi Rajasthan Chittaurgarh Madhya Rajasthan Ajmer Pradesh Satna Uttar Pradesh Faizabad Jharkhand Giridih Maharashtra Osmanabad Bihar Darbhanga Haryana Fatehabad Punjab Moga Kerala Kasaragod Uttar Pradesh Azamgarh Assam Darrang Bihar Samastipur Chhattisgarh Rajnandgaon Uttar Pradesh Firozabad Uttar Pradesh Rampur Haryana Kurukshetra Assam Sonitpur Punjab Muktsar Gujarat Dohad Uttar Pradesh Barabanki Uttar Pradesh Pilibhit Karnataka Hassan Karnataka Uttara Kannada Rajasthan Dausa Haryana Kaithal Punjab Rupnagar Jharkhand Pakaur Jammu & Uttar Pradesh Hardoi Chhattisgarh Raigarh Kashmir Udhampur Madhya Orissa Baleshwar Gujarat Patan Pradesh Vidisha Rajasthan Bikaner Tamil Nadu Pudukkottai Meghalaya East Khasi Hills Karnataka Bidar Chhattisgarh Janjgir-Champa Bihar Bhagalpur Gujarat Navsari Uttar Pradesh Jhansi Tamil Nadu Ramanathapuram Madhya Karnataka Mandya Pradesh Raisen Tamil Nadu Karur Assam Nagaon Uttar Pradesh Deoria Assam Dhubri Uttar Pradesh Shahjahanpur Bihar Rohtas Uttar Pradesh Pratapgarh Punjab Hoshiarpur Karnataka Haveri Orissa Dhenkanal
  6. 6. Delta Districts State District State District State District Jammu & Jammu & Karnataka Koppal Kashmir Kathua Kashmir Pulwama Madhya Maharashtra Bhandara Uttar Pradesh Kannauj Pradesh Datia Andaman & Rajasthan Dhaulpur Uttar Pradesh Sonbhadra Nicobar Islands Andamans Orissa Bhadrak Uttar Pradesh Balrampur Rajasthan Jhalawar Maharashtra Sindhudurg Tripura South Tripura Uttar Pradesh Lalitpur Orissa Balangir Rajasthan Jalor Orissa Gajapati Madhya Himachal Pradesh Shahdol Pradesh Chamba Uttar Pradesh Kaushambi Madhya Pradesh Rewa Bihar Gopalganj Nagaland Tuensang Jyotiba Phule Madhya Madhya Uttar Pradesh Nagar Pradesh Bhind Pradesh Barwani Orissa Kendrapara Chhattisgarh Dantewada Jharkhand Chatra Madhya Rajasthan Churu Pradesh Sehore Jharkhand Kodarma Madhya Tamil Nadu Thiruvarur Rajasthan Rajsamand Pradesh Mandla Tamil Nadu Sivaganga Jharkhand Godda Bihar Jamui Orissa Jagatsinghapur Assam Bongaigaon Assam Jorhat Bihar Vaishali Meghalaya West Garo Hills Tamil Nadu Perambalur Madhya Karnataka Chikmagalur Pradesh Katni Tripura Dhalai Rajasthan Banswara Orissa Nayagarh Chhattisgarh Kawardha Orissa Koraput Uttar Pradesh Bhadohi Bihar Banka Ambedkar Uttar Pradesh Nagar Orissa Nabarangapur Uttar Pradesh Shrawasti Uttar Pradesh Mau Orissa Jharsuguda Mizoram Aizawl Jammu & Uttar Pradesh Hathras Rajasthan Dungarpur Kashmir Doda Jammu & Madhya Kashmir Baramula Chhattisgarh Dhamtari Pradesh Neemuch Himachal Haryana Mahendragarh Pradesh Sirmaur Uttar Pradesh Chitrakoot Himachal Bihar Saran Pradesh Hamirpur Manipur Thoubal Jammu & Bihar Madhubani Kerala Pathanamthitta Kashmir Kupwara Madhya Jharkhand Gumla Bihar Jehanabad Pradesh Harda Madhya Haryana Rewari Pradesh Mandsaur Orissa Nuapada Madhya Uttar Pradesh Basti Pradesh Shivpuri Uttar Pradesh Mahoba Madhya Madhya Pradesh West Nimar Pradesh Damoh Sikkim East Sikkim Madhya Pradesh Sidhi Punjab Nawanshahr Assam Hailakandi Maharashtra Washim Rajasthan Tonk Nagaland Mokokchung Madhya Pradesh Ratlam Bihar Araria Uttaranchal Chamoli Gujarat Porbandar Assam Golaghat Orissa Malkangiri Uttar Pradesh Farrukhabad Uttaranchal Almora Orissa Sonapur Madhya Karnataka Gadag Pradesh Seoni Rajasthan Jaisalmer Chhattisgarh Koriya Rajasthan Sirohi Bihar Kishanganj Madhya Madhya Pradesh Betul Pradesh Jhabua Assam Dhemaji Himachal Bihar Siwan Pradesh Bilaspur Uttaranchal Uttarkashi Rajasthan Barmer Uttar Pradesh Hamirpur Nagaland Kohima Madhya Bihar Katihar Pradesh Panna Nagaland Mon Madhya Madhya Pradesh Chhatarpur Pradesh Shajapur Meghalaya East Garo Hills
  7. 7. State District State District State District Jammu & Orissa Kalahandi Rajasthan Bundi Kashmir Punch Punjab Mansa Uttar Pradesh Kanpur Dehat Jharkhand Lohardaga Tripura North Tripura Punjab Fatehgarh Sahib Daman & Diu Daman Himachal Himachal Pradesh Una Manipur Imphal West Pradesh Kinnaur Bihar Nalanda Bihar Nawada Karnataka Kodagu Madhya Bihar Purnia Chhattisgarh Kanker Pradesh Umaria Jammu & Bihar Begusarai Kashmir Rajauri Bihar Lakhisarai Uttar Pradesh Jalaun Assam Karbi Anglong Orissa Baudh Assam Tinsukia Uttaranchal Pithoragarh Manipur Bishnupur Assam Goalpara Tamil Nadu Ariyalur Uttaranchal Champawat Jammu & Arunachal Kashmir Anantnag Uttaranchal Garhwal Pradesh Papum Pare Chhattisgarh Mahasamund Assam Marigaon Orissa Debagarh Assam Nalbari Uttar Pradesh Auraiya Pondicherry Karaikal Jammu & Bihar Sitamarhi Kashmir Badgam Meghalaya West Khasi Hills Madhya Uttar Pradesh Etawah Bihar Buxar Pradesh Sheopur Madhya Bihar Bhojpur Bihar Saharsa Pradesh Dindori Uttar Pradesh Siddharthnagar Jharkhand Garhwa Nagaland Wokha Madhya Madhya Pradesh Balaghat Pradesh Tikamgarh Meghalaya Jaintia Hills Rajasthan Karauli Manipur Imphal East Nagaland Phek Chhattisgarh Jashpur Rajasthan Sawai Madhopur Nagaland Zunheboto Madhya Pradesh Dewas Uttaranchal Tehri Garhwal Nagaland Dimapur Punjab Faridkot Assam Lakhimpur Assam North Cachar Hills Dadra & Nagar Dadra & Nagar Uttar Pradesh Chandauli Haveli Haveli Manipur Churachandpur Madhya Pradesh Guna Assam Kokrajhar Bihar Sheikhpura Uttar Pradesh Mainpuri Orissa Rayagada Gujarat The Dangs Assam Karimganj Bihar Khagaria Uttaranchal Bageshwar Madhya Kaimur Pradesh Narsimhapur Bihar (Bhabua) Uttaranchal Rudraprayag Madhya Madhya Pradesh Morena Pradesh Rajgarh Mizoram Lunglei Uttar Pradesh Baghpat Bihar Madhepura Meghalaya Ri Bhoi Rajasthan Baran Orissa Kandhamal Bihar Sheohar Sant Kabir Maharashtra Gadchiroli Uttar Pradesh Nagar Manipur Ukhrul Gujarat Narmada Bihar Supaul Manipur Senapati Jammu & Bihar Aurangabad Bihar Munger Kashmir Kargil Himachal Arunachal Uttar Pradesh Banda Pradesh Kullu Pradesh East Siang Meghalaya South Garo Hills Manipur Tamenglong Sikkim South Sikkim Arunachal Arunachal Pradesh Changlang Daman & Diu Diu Pradesh West Siang Himachal Lakshadweep Lakshadweep Pondicherry Yanam Pradesh Lahul & Spiti Jammu & Arunachal Kashmir Leh (Ladakh) Pradesh Dibang Valley Mizoram Champhai Arunachal Manipur Chandel Sikkim North Sikkim Pradesh Lower Subansiri Arunachal Sikkim West Sikkim Mizoram Kolasib Pradesh Tawang Arunachal Pondicherry Mahe Mizoram Serchhip Pradesh West Kameng Arunachal Pradesh Lohit
  8. 8. Combined brief of products Indian Financial Scape - For all 593 districts, (Across Income classes, Socio economic classes, Rural, Urban): Demography, Market Size , Asset penetration, Credit and Savings , Growth, Financial Service Activity, Affluence, Growth, Savings Propensity, Credit Propensity, Consumer Loan Activity, Durables Loan, District Risk ………and more Housing Skyline of India - Covers the Top 112 City-Markets of India The product helps you identify - Existing & Potential Markets for Housing sector, Purchasing Power of Prospective home buyers, Locate Cities with Greater Housing Penetration, Distinguish Households Across Type of Dwelling Units, Forecast Housing Demand. We have the following new dimensions to the earlier release - Market Attractiveness Index, Housing demand by size of dwelling units (in square feet), Housing demand separated for owned and rented accommodation, Current housing categorized by number of rooms and area. Other parameters include Vehicle ownership, Demography, Savings by income categories, Employment and employment growth rate, rainfall & temperature, CPI for housing, Housing ownership and housing loan accounts………and more Market Skyline of India - For all 593 districts, the product covers a range of indicators on Indian consumers and their characteristics. These are for each district in the country, separately for rural and urban areas - Income distribution, Household consumption expenditure, Household savings, Households across income groups, Individuals/children across income groups, Rural/urban break up of market size,Urban household socio-economic profiling , Product segment wise market sizes ………and more Indian Development Landscape For all 593 districts, Education, Health, Economic Status, Infrastructure, Demography, Empowerment, crime - Gender Gaps in literacy, Primary to Upper Primary Transition to higher Transition, Pupil- Teacher ratio, Primary School Drop Out, Schools having access to drinking water, separate urinals, pucca buildings Birth rate, Fertility rate, Infant and Under 5 Mortality, Deliveries attended by skilled personnel, Immunization, Antenatal care, HIV/ AIDS Awareness, Access to drinking water, Crimes committed against women, Girls marrying below legal age, Habitations connected by pucca roads, Households with Electricity ………and more City Skyline of India Covers the Top 112 City-Markets of India - Market size and lifestyles in top cities, Income distribution, savings and expenditures, Perception rating on living condition, Socio-economic profiling, per capita incomes. Cities are also ranked on the basis of “Economy” and “Reside in” indices and also comprise people’s perception about their cities on education, health facilities, environment, entertainment and public facilities captured through survey ………and more District GDP of India For all 593 districts - District Gross Domestic Product across sectors* at current prices, District Gross Domestic Product across sectors at constant prices, Credit Penetration in various sectors, Short term annualized Growth rate in Gross Domestic Product at district level, Per Capita Gross Domestic Product by Economic Activity, at current prices, Per Worker Gross Domestic Product by Economic Activity, at current prices Sectors, Primary Sector – Agriculture, Mining and Quarrying, Fishing, Forestry. Secondary sector - Construction Sector, Manufacturing Sector, Electricity, Gas, Water Supply. Tertiary Sector - Banking and Insurance, Rest Of tertiary. Total GDP Individual brief - City Skyline of India For 112 top city markets of India (Alpha Cities – The Elite Club of 10, Beta Cities – 20 On the Threshold Cities – Upcoming 20 Cities, Delta Cities – 62 Budding Centers), the product contains information on:  Demographics - Population, 0-6 Population, Households, Unemployment Rate, Recent Migrants, Slum Population, Workers, Workers in tertiary sector, secondary sector, Age Distribution  Consumer Market - Households with 4 Wheelers/ 2 Wheelers, Annual Household Income, Annual Household Saving, Market Size, Socio-Economic Classification A, B, C, D, and E  Earning - Employment Rate, Per Capita Income, Per Capita Saving, Career opportunities; Human and Capital Flows - Credit to Deposit Ratio, Credit Growth, Small Business Credit per capita, Migrants, Business opportunities, Bank Offices  Education - Literacy Rate, MBA/ Engineering seats per 100,000, School/ College Adequacyl; Utilities and Transport - Water supply frequency, Power cuts in a day, Households electrified, Usage of public transport.; Entertainment - FHRAI restaurants, tourist places to visit, malls, parks, Parking space, Readership of Newspaper, Internet Users  Housing - CPI for Housing, Growth Rate of CPI and Housing Loan accounts, Rented Households, Owned Households, Housing Loan accounts  Psychographics - Youthfulness, Experimentation, Westernized, Cosmopolitan, Gender Equality: Relative City Ranking; Safety; Environment
  9. 9. Individual brief - Market Skyline of India For all 593 districts, the product contains information on Consumer markets and Consumer demography for 2008-09 and 2006-07.  Market Size (urban and rural) - Food Products, FMCG products, Durables, Clothing & Footwear, Miscellaneous Goods and Services  Socio-Economic Classification (Urban Households) - SEC A, B, C, D, and E  Sector wise Growth Rates (2006-07 to 2008-09) - Total Income, Total Expenditure , Total Saving  Estimates of income savings expenditure and item wise market size for the year 2006-07.  Annual Household Income Category (Urban & Rural) - The households have been divided into income categories: <75,000, 75,000 –1,50,000, 1,50,000 – 3,00,000, 3,00,000 – 5,00.000, 5,00,000 – 10,00,000, 10,00,000 & above. All the indicators are estimated for each of the above income categories within the district. The indicators included are: o Households in each income bracket. o Population in each income bracket. o Per capita Annual disposable income of all households in a specific income category. o Per capita Annual net saving of all households in a specific income category. o Per capita Annual consumption expenditure of all households in a specific income category. o Total annual income of all households in a specific income category. o Total annual net saving of all households in a specific income category. o Total annual consumption expenditure of all households in a specific income category Estimates available at two points in time – 2006-07 and 2007-08, separately for urban and rural markets Individual brief - Indian Development Landscape For all 593 districts, the product contains information on Education, Health, Economic Status, Infrastructure, Demography, Empowerment, and agriculture.  Education – Literacy rates, Gender Gaps in literacy, Primary to Upper Primary Transition, Upper Primary to higher Transition, Pupil-Teacher ratio at the Primary Level, Pupil-Teacher ratio at the upper primary level, Primary School Drop Out, Schools having access to drinking water, separate urinals, pucca buildings  Health – Birth rate, Fertility rate, Infant Mortality, Under 5 Mortality, Deliveries attended by skilled personnel, Immunization, Antenatal care, Unmet need for family planning, Adoption of Modern methods of contraception, HIV/ AIDS Awareness, Weight for age (children), Usage of iodized salt, Access to drinking water, Disabled population  Infrastructure – Percentage of Habitations connected by pucca roads, Percentage of Households with Electricity, Percentage of Households with Telephone, No. of Bank Branches  Empowerment – Crimes committed against women, Girls marrying below legal age, Birth order 3 and above, Sex Ratio, Female Work Participation Rate  Economic Status – Head Count ratio, Marginal Workers as % of total population, Work Participation Rate  Demography – Population – total, male and female, urban and rural, Households – total, urban, rural, Population Density, Migration, SC and ST population  Environment – Wasteland areas, area affected by drought, area affected by flood  Agriculture – Total Cultivators, Total Agricultural Labours, Area sown more than once, Net area sown, Net irrigated area Estimates available at two points in time – 2001 and 2008 Individual brief - Indian Financial Scape For all 593 districts, the product contains information on (Across Income classes, Socio economic classes, Rural, Urban):  Financial services – Across services and establishments (PO, Banks, Coop Banks, Brokerages, NBFC, SHG) – agents, accounts, value of accounts, number of establishments, etc.  Demography - Migration, Population, Employment, Education, Age distribution, Married couples, etc.  Market Size – GDP Banking and insurance, Incomes, Savings, Expenditure, Remittances, Rents, etc.  Asset penetration – Durables, Investment and savings instruments, other financial assets, etc.
  10. 10.  Credit and Savings – Penetration, Amounts, Growth - across economic sectors, across establishments (PO, Banks, Coop Banks, NBFC, SHG), etc.  Others – Growth across economic sectors, incidences of crime and economic offences, etc.  Indices on Financial Service Activity, Affluence, Growth, Savings Propensity, Credit Propensity, Consumer Loan Activity, Durables Loan, District Risk ………and much more The product is available in Basic and Premium Editions. In addition we offer a Premium Plus edition with a detailed report on Asset ownership, Investment and Credit behavior of consumers. The report is based on a survey of consumers across 20 urban clusters with findings across income, age and occupation categories on:  Assets owned – vehicles, white goods, gadgets  Insurance – awareness, products, premiums paid, amounts insured  Kinds of investments (property, financial, banking, insurance, gold), kinds of instruments, how these are accessed.  Use of credit, which form, how much Individual brief - Housing Skyline of India For 112 top city markets of India (Alpha Cities – The Elite Club of 10, Beta Cities – 20 On the Threshold cities, Gamma Cities – Upcoming 20 Cities, Delta Cities – 62 Budding Centers), the product contains information on:  Existing & Potential Markets for Housing sector  Purchasing Power of Prospective home buyers  Locate Cities with Greater Housing Penetration  Distinguish Households Across Type of Dwelling Units  Forecast of Housing Demand We have added the following new dimensions to the earlier release:  Market Attractiveness Index  Housing demand by size of dwelling units (in square feet)  Housing demand separated for owned and rented accommodation  Current housing categorized by number of rooms and area Other parameters updated for 2008-09, include: Vehicle ownership, Demography (household size categories, income categories, age categories), Savings by income categories, Employment and employment growth rate, rainfall & temperature, CPI for housing, Housing ownership and housing loan accounts, and more. Data Sources The key data comes from highly reliable sources - NSSO various rounds, CSO, RBI, RCH, Census of India, etc. This is supplemented by our own large primary surveys and secondary information. The total samples would exceed 1 million records over a 20 year time series. Our analysts and experts then work on the data. They use various econometric, operations research and statistical techniques and Cross-check in many ways to give out the final estimates. We also ensure consistency & comparability of data across time and geography Our key differentiators  Processed very large data bases over long time series cycles  Developed econometric models to process existing and future sets  Created panels to conduct large surveys at short periods of time at low cost  Products developed and refined over 5 years with an established customer base  Economic geography drilled down till district, city and even sub city and block level  Information is relevant in today’s scenario  At prices only a small fraction of what MR and evaluation with national footprint would cost  Delivered in easy to use, graph and map software  Wide range of macro/micro economic indicators What is the Product uniqueness – its value proposition? Information about the economy and consumers at extremely granular levels - Currently at city and district levels, and in future up to neighborhood levels (eg. Delhi will be segmented into 150 neighborhoods). This is further segmented into various income groups - such as “Number of Households owning cars and having an annual income between 150,000 and 300,000 in Karol Bag Neighborhood”
  11. 11. Purpose - Easily mine-able information to marketers in order to enable them to target their sales and marketing. - To provide consulting and research firms, data that is is not easily available and they need to only extract the data for analysis, reporting and advising. Such data is not available easily in India at such granular levels. We provide in the range of 200-250 variables for every geographic level. The data is compiled using various techniques – large data sets are processed, proprietary surveys are done, Econometric and mathematical modeling is applied and finally the processed estimates are published The key value - It will take a long time and will cost at least 10 times the price points of our product to create this sort of information. Essentially, we are developing these data sets and selling as a product. The end user has a readily available, off the shelf ready-to-use data set. The range of utilities of the products would include the following - Know consumer characteristics, Identifying Potential Markets, Planning a marketing strategy, Opening a branch, Monitoring sales efforts, Prioritizing & ranking markets, Benchmarking sales against potential, Location Choices, Writing a report for PR purposes, Presenting to superiors/ investors, Sourcing of inputs, Getting insights others don’t have, Delivering services where they are required, Identifying demand potential of select locations Who are the customers? A partial list of recent customers is as follows  Market Research & Consultancy - McKinsey, Boston Consulting Group, Ernst & Young, CRISIL, ICRA, Tata Services, MODE Group, Quadra, Feedback, KSA - Technopak, INFAR, Knight Frank, Direm, ICMR, OEC Oertli, ILF&S, Jones Lang La Salle, Bain & Company, CB Richard Ellis, Moen Inc,The Parthenon Group, E Valueserve, Sun Gumberg India Advisors..... .....  Consumer Goods - Kellogg, L'oreal, Ray-Ban, Cadbury, Godrej, Frito-Lay, Arvind Brands, Dabur, Wrigleys, Rasna, Parle, Mc Donalds, Relaxo, Nestle, Hindustan Unilever, Usha International , Field Fresh Food, Pepsi Foods, Chateau Indage, Britannia, LG Elecronics, Samsung, Aditya Birla Retail ..... .....  Service Firms - HDFC Standard Life, Max New York Life, Birla Sunlife Insurance, Reliance Energy, Blue Dart, First Flight, Safe Express, ABN Amro, Tata Finance, Karvy Consultants, Alcatel, Kotak Mahindra, Sundaram Finance, Bharti Airtel, Vodafone, Credit Suisse, ITC Welcome Group, Aditya Birla Group, Tata Tele Services, Axis Bank, ING Vyasya Life Insurance Company Ltd, American Express Bank, SBI Cards, ICICI Bank, Motilal Oswal, Mahajan & Aibra, UTI Asset Management Company, American Tower, J & J Buying Services, Religare, Deccan Cargo, Infrastructure Professional Enterprise ..... .....  Advertising & Media - HTA, Euro RSCG, Ambience D'arcy, FCB Ulka, Rediffusion, Maa Bozell, Everest, Pratisaad, Concept Advertising, Leo Burnett, Cognito, Times of India, Star India NDTV, Malayala Manorama, Fountainhead, Dainik Bhaskar Group, Group M Media India Pvt. Ltd..... .....  Healthcare - Dr. Morepen Laboratries, Johnson & Johnson, Wockhardt, Amrutanjan, Bayer Diagnostics, Pika Medical Instruments, Apollo Hospitals Enterprise Ltd ..... .....  Institutions & Libraries - IIM Ahmedabad, Reserve Bank of India (RBI), Thirteenth Finance Commission, The World Bank, Administrative Staff College of India (ASCI), British Council Library, British High Commission, Taipei WTC, NCERT, IMT, Indian Institute of Foreign Trade (IIFT), NISTADS, IIPM, University of Mumbai ..... .....  Real Estate - DLF, Unitech, , South Asia Real Estate, Edelweiss Capital, EMAAR MGF, Dewan Housing, Hirco Developers , IDFC-SSKI, L&T, Tata Housing, Bengal DCL HDCL, Hilti India ..... .....  Others - Maruti, Hero Honda, Sahara, Swarovski, Ceat, Indo Asean, IDE (India), Shoppers Stop, Rupa & Co, Ion Exchange, Bush Boake Allen, TVS Cherry, Gestetner, ITC , Filtron, Mettler Toledo, Shavo Norgren, Mahindra and Mahindra ..... .....

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