Dataset Title: India's Top Companies and their INFO

Source scrapped from :- https://www.ambitionbox.com/list-of-companies Description:

This dataset provides a comprehensive overview of the top 9979 companies in India, based on their market capitalization. It includes key information such as company name, sector, industry, headquarters location and profit. The dataset is compiled from publicly available sources and is updated annually.

Potential Uses: For Projects

This dataset can be used for a variety of purposes, including:

Analyzing the performance of different sectors and industries in the Indian economy Identifying trends and patterns in the growth and profitability of Indian companies Developing investment strategies based on company fundamentals Conducting research on corporate governance and social responsibility practices of Indian companies Additional Notes:s

The dataset is provided in CSV format. The dataset is licensed under the Creative Commons Attribution 4.0 International License. Please cite the source of the dataset if you use it in your work. I hope this description is helpful. Please let me know if you have any other questions.

Techsalerator Covers all firmographic fields of companies and businesses ( B2B) in India( Business/Company Data) in its India B2B Database.

For more information on this dataset, please contact us at info@techsalerator.com or via https://www.techsalerator.com/contact-us

We can select the Perfect set based on location, revenue, number of employees, revenue, years in business as well as 40 other fields.

We cover all the following elements on the businesses + 200 more fields :

UniqueID UniversalPublicationId CompanyName TradeName DirectoryName Address1 Address2 PostCode City CityCode Province ProvinceCode Region RegionCode Country CountryCode Language PhoneOrMobile Phone DNCMPhone Fax Mobile DNCMMobile Email Website WebDomain WebSocialMedialinksFacebook WebSocialMedialinksTwitter GenericLinlkedInLink WebsiteIpAddress NationalID NationalIdentificationTypeCode NationalIdentificationTypeCodeDescription NationalIDIsVat PrimaryLocalActivityCode LocalActivityTypeCode MarketabilityIndicator YearStarted NumberOfFamilyMembers CEOName CEOTitle CEOFirstName CEOLastName CEOGender CEOLanguage EmployeesHereReliabilityCode EmployeesHereReliabilityCodeDescription EmployeesTotalReliabilityCode EmployeesTotalReliabilityCodeDescription EmployeesHere EmployeesTotal ImportExportAgentCode ImportExportAgentCodeDescription LegalStatusCode LegalStatusCodeDescription StatusCode StatusCodeDescription SalesVolume Currency SalesVolumeDollars SalesVolumeEuros SalesVolumeReliabilityCode

Actual value and historical data chart for India New Business Density New Registrations Per 1 000 People Ages 15 64

New business ownership rate refers to the percentage of 18-64 population who are currently an owner-manager of a new business, i.e., owning and managing a running business that has paid salaries, wages, or any other payments to the owners for more than three months, but not more than 42 months. According to data from the Global Entrepreneurship Monitor, in 2020, the new business ownership rate in India was *** percent.

India NAS 2004-2005: Value Added: 2004-2005p: Real Estate, Ownership of Dwellings and Business Services: Net Value Added data was reported at 4,632,270.000 INR mn in 2013. This records an increase from the previous number of 4,197,200.000 INR mn for 2012. India NAS 2004-2005: Value Added: 2004-2005p: Real Estate, Ownership of Dwellings and Business Services: Net Value Added data is updated yearly, averaging 3,337,940.000 INR mn from Mar 2005 (Median) to 2013, with 9 observations. The data reached an all-time high of 4,632,270.000 INR mn in 2013 and a record low of 2,297,670.000 INR mn in 2005. India NAS 2004-2005: Value Added: 2004-2005p: Real Estate, Ownership of Dwellings and Business Services: Net Value Added data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under India Premium Database’s National Accounts – Table IN.AD029: NAS 2004-2005: Value Added: Real Estate, Ownership of Dwellings and Business Services.

According to a survey among young Indians, Mukesh Ambani was the favorite business icon with ** percent. Tim Cook, Apple's CEO was chosen as a favorite by **** percent of respondents. The entire list of business owners on the list were men, while the leading five were of Indian origin.

India NAS 2004-2005: Value Added: Real Estate, Ownership of Dwellings and Business Services: Gross Value Added: Reseach and Development data was reported at 1,328,050.000 INR mn in 2013. This records an increase from the previous number of 996,140.000 INR mn for 2012. India NAS 2004-2005: Value Added: Real Estate, Ownership of Dwellings and Business Services: Gross Value Added: Reseach and Development data is updated yearly, averaging 426,510.000 INR mn from Mar 2005 (Median) to 2013, with 9 observations. The data reached an all-time high of 1,328,050.000 INR mn in 2013 and a record low of 163,760.000 INR mn in 2005. India NAS 2004-2005: Value Added: Real Estate, Ownership of Dwellings and Business Services: Gross Value Added: Reseach and Development data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under India Premium Database’s National Accounts – Table IN.AD029: NAS 2004-2005: Value Added: Real Estate, Ownership of Dwellings and Business Services.

As of 2020, the Indian edtech start-up BYJU'S attracted a total funding of around *** billion U.S. dollars. Thereby, its co-founder Divya Gokulnath heads the list of female entrepreneurs in India by total funding. Radhika Ghai Aggarwal, the co-founder of e-commerce marketplace Shopclues, comes second, followed by Falguni Nayar, the founder of beauty-retailer Nykaa.

Gambling Data India can be vital for you to make connections with the gambler. In fact, this library has information about who gambles. However, everyone can use our valid contacts to expand their betting business in targeted locations. Also, Gambling Data India provides valuable insights. That can help you optimize your betting moves more. As well as the contact lead improves profitability. Therefore, that helps to stay competitive in the active gambling need. Moreover, Gambling Data India can greatly benefit your betting activities in various ways. This dataset gives you knowledge of what Indian gamblers like. As a result, this allows you to decide where and how to bet wisely. In other words, it is a very important thigh for targeted marketing. People can utilize player details and preferences to customize your marketing. Likewise, this helps you reach the right people with your advertising. Hence, to make it more effective. India Gambling Data is a huge collection of Indian people. Further, the types of gambling they participate in, and the money affected. Besides, everyone can take advantage of this phone number data by buying this contact list. Similarly, the dataset we are delivering is real and almost 95% latest and active. This website has a talented team that is working regularly to put all the info together. Also, with their step and our experience, we are producing the best gambling database for our clients. In addition, India Gambling Data has all kinds of information that you need for your business and this will surely grow your business. However, through this library, you can create your own contact directory. Thus, our team can make different professions’ contact lists also different states’ lists. Finally, it is a complete package that can be a great asset for any person trying to do marketing.

Comprehensive dataset containing 44 verified People Fashion & Accessories locations in India with complete contact information, ratings, reviews, and location data.

Dataset

This dataset was created by Raghav Mittal

Released under Other (specified in description)

Contents

Saree Retailers Database in India

Accurate Up-to-Date Data for All Types of Business Purposes

By Amresh [source]

About this dataset

This All India Saree Retailers Database is a comprehensive collection of up-to-date information on 10,000 Saree Retailers located all over India. The database is updated in April 2021 and offers an overall accuracy rate of around 90%.

For business owners, marketers, and data analysts and researchers, this dataset is an invaluable resource. It contains contact details of store name, contact person names, phone number and email address along with store location information like city state and pin code to help you target the right audience precisely.

The database can be accessed in Microsoft Excel (.xlsx) format which makes it easy to read or manipulate the file according to your needs. Apart from this wide range of payment options like Credit/Debit Card; Online Transfer; NEFT; Cash Deposit; Paytm; PhonePe; Google Pay or PayPal allow quick download access within 2-3 business hours.

So if you are looking for reliable business intelligence data related to Indian saree retailers that can help you unlock incredible opportunities for your business then make sure to download our All India Saree Retailers Database at the earliest!

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

This dataset provides a comprehensive list of Saree retailers in India, including store name, contact person, email address, mobile number, phone number, address details like city and state along with pin code. It contains 10 thousand records updated in April 2021 with an overall accuracy rate of around 90%. This data can be used to understand customer behaviour as well as to analyse geographical customer pattern.

Using this dataset you can: - Target specific states or cities where potential customers are located for your Saree business. - Get in touch with local Saree retailers for possible collaborations and partnerships. - Learn more about industry trends from actual store owners who can offer insights into the latest ongoing trends and identify new opportunities for you to grow your business. 4 .Analyse existing competitors’ market share by studying the cities/states where they operate and their contact information such as Mobile Number & Email Ids .
5 .Identify potential new customers for better sales conversion rates by understanding who is already operating in similar products nearby or have similar target audience as yours that help your company reach out to them quickly & effectively using direct marketing techniques such as emails & SMS etc.,

Research Ideas

• Creating targeted email campaigns to increase Saree sales: The dataset can be used to create targeted email campaigns that can reach the 10,000 Saree Retailers in India. This will allow businesses to increase sales by directing their message about promotions and discounts directly to potential customers.
• Customizing online product recommendations for each retailer: The dataset can be used to identify the specific products that each individual retailer is interested in selling, so product recommendations on an e-commerce website could be tailored accordingly. This would optimize customer experience giving them more accurate and relevant results when searching for a particular item they are looking for while shopping online.
• Using GPS technology to generate location-based marketing campaigns: By creating geo-fenced areas around each store using the pin code database, it would be possible to send out marketing messages based on people's physical location instead of just sending them out in certain neighborhoods or cities without regard for store locations within those areas. This could help reach specific customers with relevant messages about products or promotions that may interested them more effectively than a standard marketing campaign with no location targeting involved

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: 301-Saree-Garment-Retailer-Database-Sample.csv

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Amresh.

Release Date: 2015-12-15.[NOTE: Includes firms with paid employees and firms with no paid employees. Data are based on the 2012 Economic Census, and the estimates of business ownership by gender, ethnicity, race, and veteran status are from the 2012 Survey of Business Owners. Detail may not add to total due to rounding or because a Hispanic firm may be of any race. Moreover, each owner had the option of selecting more than one race and therefore is included in each race selected. Firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. and state totals for all sectors. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Survey Methodology.]..Table Name. . Statistics for All U.S. Firms by Industry, Gender, Ethnicity, and Race for the U.S., States, Metro Areas, Counties, and Places: 2012. ..Release Schedule. . This file was released in December 2015. Included are statistics for:. . Women-Owned Firms (WMN). Hispanic-Owned Firms (HISP). Black-Owned Firms (BLK). American Indian- and Alaska Native-Owned Firms (AIAN). Asian-Owned Firms (ASIAN). Native Hawaiian- and Other Pacific Islander-Owned Firms (NHPI). Company Summary (CS) -- Includes estimates for minority- and nonminority-owned firms. . ..Key Table Information. . This data supersedes all preliminary results released on August 18, 2015, and is related to all other 2012 SBO files.. Refer to the Methodology section of the Survey of Business Owners website for additional information.. ..Universe. . The universe for the 2012 Survey of Business Owners (SBO) includes all U.S. firms operating during 2012 with receipts of $1,000 or more which are classified in the North American Industry Classification System (NAICS) sectors 11 through 99, except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered. Firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. total.. ..Geographic Coverage. . The data are shown for:. . United States. States and the District of Columbia. Metropolitan Areas, including:. . Combined Statistical Areas. Metropolitan and Micropolitan Statistical Areas. Metropolitan divisions. . . Counties. Places. . ..Industry Coverage. . The data are shown for the total of all sectors (00) and the 2-, 3-, 4-, 5-, and 6-digit NAICS code levels for:. . United States. States and the District of Columbia. . The data are shown for the total of all sectors (00) and the 2-digit NAICS code levels for:. . Metropolitan Areas, including:. . Combined Statistical Areas. Metropolitan and Micropolitan Statistical Areas. Metropolitan divisions. . . Counties. Places. . ..Data Items and Other Identifying Records. . Statistics for All U.S. Firms by Industry, Gender, Ethnicity, and Race for the U.S., States, Metro Areas, Counties, and Places: 2012 contains data on:. . Numbers of all firms, firms with paid employees, and firms with no paid employees. Sales and receipts for all firms, firms with paid employees, and firms with no paid employees. Number of employees for firms with paid employees. Annual payroll for firms with paid employees. . The data are shown for:. . All firms classifiable by gender, ethnicity, race, and veteran status. . Gender. . Female-owned. Male-owned. Equally male-/female-owned. . . Ethnicity. . Hispanic. . Mexican, Mexican American, Chicano. Puerto Rican. Cuban. Other Hispanic, Latino, or Spanish origin. . . Equally Hispanic/non-Hispanic. Non-Hispanic. . . Race. . White. Black or African American. American Indian and Alaska Native. Asian. . Asian Indian. Chinese. Filipino. Japanese. Korean. Vietnamese. Other Asian. . . Native Hawaiian and Other Pacific Islander. . Native Hawaiian. Samoan. Guamanian or Chamorro. Other Pacific Islander. . . S...

India NAS 2004-2005: Value Added: Real Estate, Ownership of Dwellings and Business Services: Gross Rental of Dwellings: Urban data was reported at 2,655,800.000 INR mn in 2013. This records an increase from the previous number of 2,406,520.000 INR mn for 2012. India NAS 2004-2005: Value Added: Real Estate, Ownership of Dwellings and Business Services: Gross Rental of Dwellings: Urban data is updated yearly, averaging 1,508,540.000 INR mn from Mar 2005 (Median) to 2013, with 9 observations. The data reached an all-time high of 2,655,800.000 INR mn in 2013 and a record low of 762,840.000 INR mn in 2005. India NAS 2004-2005: Value Added: Real Estate, Ownership of Dwellings and Business Services: Gross Rental of Dwellings: Urban data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under India Premium Database’s National Accounts – Table IN.AD029: NAS 2004-2005: Value Added: Real Estate, Ownership of Dwellings and Business Services.

India NAS 2004-2005: Value Added: Real Estate, Ownership of Dwellings and Business Services: Cost of Repairs and Maintenance of Dwellings: Urban data was reported at 111,140.000 INR mn in 2013. This records an increase from the previous number of 95,500.000 INR mn for 2012. India NAS 2004-2005: Value Added: Real Estate, Ownership of Dwellings and Business Services: Cost of Repairs and Maintenance of Dwellings: Urban data is updated yearly, averaging 63,490.000 INR mn from Mar 2005 (Median) to 2013, with 9 observations. The data reached an all-time high of 111,140.000 INR mn in 2013 and a record low of 34,170.000 INR mn in 2005. India NAS 2004-2005: Value Added: Real Estate, Ownership of Dwellings and Business Services: Cost of Repairs and Maintenance of Dwellings: Urban data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under India Premium Database’s National Accounts – Table IN.AD029: NAS 2004-2005: Value Added: Real Estate, Ownership of Dwellings and Business Services.

India NAS 2004-2005: Value Added: Real Estate, Ownership of Dwellings and Business Services: Gross Value Added: Dwellings: Rural data was reported at 2,397,760.000 INR mn in 2013. This records an increase from the previous number of 2,121,980.000 INR mn for 2012. India NAS 2004-2005: Value Added: Real Estate, Ownership of Dwellings and Business Services: Gross Value Added: Dwellings: Rural data is updated yearly, averaging 1,468,230.000 INR mn from Mar 2005 (Median) to 2013, with 9 observations. The data reached an all-time high of 2,397,760.000 INR mn in 2013 and a record low of 936,440.000 INR mn in 2005. India NAS 2004-2005: Value Added: Real Estate, Ownership of Dwellings and Business Services: Gross Value Added: Dwellings: Rural data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under India Premium Database’s National Accounts – Table IN.AD029: NAS 2004-2005: Value Added: Real Estate, Ownership of Dwellings and Business Services.

Abstract

The World Bank Enterprise Survey (WBES) is a firm-level survey of a representative sample of an economy's private sector. The surveys cover a broad range of topics related to the business environment including access to finance, corruption, infrastructure, competition, and performance.

Geographic coverage

National coverage

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The universe of inference includes all formal (i.e., registered) private sector businesses (with at least 1% private ownership) and with at least five employees. In terms of sectoral criteria, all manufacturing businesses (ISIC Rev 4. codes 10-33) are eligible; for services businesses, those corresponding to the ISIC Rev 4 codes 41-43, 45-47, 49-53, 55-56, 58, 61-62, 69-75, 79, and 95 are included in the Enterprise Surveys. Cooperatives and collectives are excluded from the Enterprise Surveys.

Kind of data

Sample survey data [ssd]

Sampling procedure

The WBES use stratified random sampling, where the population of establishments is first separated into non-overlapping groups, called strata, and then respondents are selected through simple random sampling from each stratum. The detailed methodology is provided in the Sampling Note (https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Sampling_Note-Consolidated-2-16-22.pdf). Stratified random sampling has several advantages over simple random sampling. In particular, it:

• produces unbiased estimates of the whole population or universe of inference, as well as at the levels of stratification
• ensures representativeness by including observations in all of those categories
• produces more precise estimates for a given sample size or budget allocation, and
• may reduce implementation costs by splitting the population into convenient subdivisions.

The WBES typically use three levels of stratification: industry classification, establishment size, and subnational region (used in combination).

Mode of data collection

Face-to-face [f2f]

Research instrument

The standard WBES questionnaire covers several topics regarding the business environment and business performance. These topics include general firm characteristics, infrastructure, sales and supplies, management practices, competition, innovation, capacity, land and permits, finance, business-government relations, exposure to bribery, labor, and performance. Information about the general structure of the questionnaire is available in the Enterprise Surveys Manual and Guide (https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Enterprise-Surveys-Manual-and-Guide.pdf).

India NAS 2004-2005: Value Added: 2004-2005p: Real Estate, Ownership of Dwellings and Business Services: Gross Rental of Dwellings: Rural data was reported at 1,478,720.000 INR mn in 2013. This records an increase from the previous number of 1,415,310.000 INR mn for 2012. India NAS 2004-2005: Value Added: 2004-2005p: Real Estate, Ownership of Dwellings and Business Services: Gross Rental of Dwellings: Rural data is updated yearly, averaging 1,207,160.000 INR mn from Mar 2005 (Median) to 2013, with 9 observations. The data reached an all-time high of 1,478,720.000 INR mn in 2013 and a record low of 1,023,350.000 INR mn in 2005. India NAS 2004-2005: Value Added: 2004-2005p: Real Estate, Ownership of Dwellings and Business Services: Gross Rental of Dwellings: Rural data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under India Premium Database’s National Accounts – Table IN.AD029: NAS 2004-2005: Value Added: Real Estate, Ownership of Dwellings and Business Services.

India NAS 2004-2005: Value Added: Real Estate, Ownership of Dwellings and Business Services: Net Value Added data was reported at 9,451,890.000 INR mn in 2013. This records an increase from the previous number of 7,943,200.000 INR mn for 2012. India NAS 2004-2005: Value Added: Real Estate, Ownership of Dwellings and Business Services: Net Value Added data is updated yearly, averaging 4,779,630.000 INR mn from Mar 2005 (Median) to 2013, with 9 observations. The data reached an all-time high of 9,451,890.000 INR mn in 2013 and a record low of 2,297,670.000 INR mn in 2005. India NAS 2004-2005: Value Added: Real Estate, Ownership of Dwellings and Business Services: Net Value Added data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under India Premium Database’s National Accounts – Table IN.AD029: NAS 2004-2005: Value Added: Real Estate, Ownership of Dwellings and Business Services.

Dataset

This dataset was created by md serif

Contents