This dataset contains the owner information for all the accounts listed in the Business License Dataset, and is sorted by Account Number. To identify the owner of a business, you will need the account number or legal name, which may be obtained from theBusiness Licenses dataset: https://data.cityofchicago.org/dataset/Business-Licenses/r5kz-chrr. Data Owner: Business Affairs & Consumer Protection. Time Period: 2002 to present. Frequency: Data is updated daily.

Access B2B Contact Data for North American Small Business Owners with Success.ai—your go-to provider for verified, high-quality business datasets. This dataset is tailored for businesses, agencies, and professionals seeking direct access to decision-makers within the small business ecosystem across North America. With over 170 million professional profiles, it’s an unparalleled resource for powering your marketing, sales, and lead generation efforts.

Key Features of the Dataset:

Verified Contact Details

Includes accurate and up-to-date email addresses and phone numbers to ensure you reach your targets reliably.

AI-validated for 99% accuracy, eliminating errors and reducing wasted efforts.

Detailed Professional Insights

Comprehensive data points include job titles, skills, work experience, and education to enable precise segmentation and targeting.

Enriched with insights into decision-making roles, helping you connect directly with small business owners, CEOs, and other key stakeholders.

Business-Specific Information

Covers essential details such as industry, company size, location, and more, enabling you to tailor your campaigns effectively. Ideal for profiling and understanding the unique needs of small businesses.

Continuously Updated Data

Our dataset is maintained and updated regularly to ensure relevance and accuracy in fast-changing market conditions. New business contacts are added frequently, helping you stay ahead of the competition.

Why Choose Success.ai?

At Success.ai, we understand the critical importance of high-quality data for your business success. Here’s why our dataset stands out:

Tailored for Small Business Engagement Focused specifically on North American small business owners, this dataset is an invaluable resource for building relationships with SMEs (Small and Medium Enterprises). Whether you’re targeting startups, local businesses, or established small enterprises, our dataset has you covered.

Comprehensive Coverage Across North America Spanning the United States, Canada, and Mexico, our dataset ensures wide-reaching access to verified small business contacts in the region.

Categories Tailored to Your Needs Includes highly relevant categories such as Small Business Contact Data, CEO Contact Data, B2B Contact Data, and Email Address Data to match your marketing and sales strategies.

Customizable and Flexible Choose from a wide range of filtering options to create datasets that meet your exact specifications, including filtering by industry, company size, geographic location, and more.

Best Price Guaranteed We pride ourselves on offering the most competitive rates without compromising on quality. When you partner with Success.ai, you receive superior data at the best value.

Seamless Integration Delivered in formats that integrate effortlessly with your CRM, marketing automation, or sales platforms, so you can start acting on the data immediately.

Use Cases: This dataset empowers you to:

Drive Sales Growth: Build and refine your sales pipeline by connecting directly with decision-makers in small businesses. Optimize Marketing Campaigns: Launch highly targeted email and phone outreach campaigns with verified contact data. Expand Your Network: Leverage the dataset to build relationships with small business owners and other key figures within the B2B landscape. Improve Data Accuracy: Enhance your existing databases with verified, enriched contact information, reducing bounce rates and increasing ROI. Industries Served: Whether you're in B2B SaaS, digital marketing, consulting, or any field requiring accurate and targeted contact data, this dataset serves industries of all kinds. It is especially useful for professionals focused on:

Lead Generation Business Development Market Research Sales Outreach Customer Acquisition What’s Included in the Dataset: Each profile provides:

Full Name Verified Email Address Phone Number (where available) Job Title Company Name Industry Company Size Location Skills and Professional Experience Education Background With over 170 million profiles, you can tap into a wealth of opportunities to expand your reach and grow your business.

Why High-Quality Contact Data Matters: Accurate, verified contact data is the foundation of any successful B2B strategy. Reaching small business owners and decision-makers directly ensures your message lands where it matters most, reducing costs and improving the effectiveness of your campaigns. By choosing Success.ai, you ensure that every contact in your pipeline is a genuine opportunity.

Partner with Success.ai for Better Data, Better Results: Success.ai is committed to delivering premium-quality B2B data solutions at scale. With our small business owner dataset, you can unlock the potential of North America's dynamic small business market.

Get Started Today Request a sample or customize your dataset to fit your unique...

The Global Entrepreneurship Monitor (GEM) was designed to capture various aspects of firm creation and entrepreneurship across countries. The data have been collected over a number of years (1998-2003) and include responses from 4,685 experts in over 38 countries and three subnational regions. This study seeks to measure the national attributes considered critical for new firm births and small firm growth. The dataset is a harmonized file capturing the results from all of the surveys. The expert, or key informant, questionnaire was improved and adjusted each year to increase the reliability of multi-item indices and provide for the addition of new dimensions. For each version of the questionnaire, respondents completed 70-80 standardized items that were the basis for 12-15 multi-item indices. Respondents were initially asked a series of general questions pertaining to starting a business, such as whether they were currently trying to start a new business, whether they knew anyone who had started a new business, and whether they thought it was a good time to do so. Respondents were also asked about the process of starting up a new business; whether they had done anything to start a new business in the past 12 months; whether they would own all, part, or none of the new business; how many people would be involved with the new business; what sort of business they were starting; and what they would sell. In addition, respondents identified the total start-up costs, the various sources of the start-up money, and why they were involved in the start-up. Respondents then answered a set of questions to assess the national conditions influencing entrepreneurial activity in their own country. In this respect, respondents provided their opinions on business and entrepreneurial education, the integration of new technology in businesses, the availability of financial support through government policies and programs, the availability of subcontractors, yearly changes in the economic market, and the physical infrastructure in their country. Views were also elicited from respondents about their national cultures in regard to entrepreneurial efforts and opportunities, attitudes towards entrepreneurs in general, women entrepreneurs and the resources available to them, and citizens' knowledge and experience with new businesses. They also gave their views on the Intellectual Property Rights (IPR) legislation and its enforcement in their respective countries. Respondents were then queried on the technological strengths of their country by ranking the top five sectors in which there has been development of the greatest number of technology-intensive start-up companies in the past ten years. Finally, respondents were asked the same general questions as those used in the GLOBAL ENTREPRENEURSHIP MONITOR (GEM): ADULT POPULATION SURVEY DATA SET, 1998-2003 (ICPSR 20320) in order to ascertain whether the opinions and behaviors of the current "expert" respondents differ from those of the general population. These questions included whether they were starting a new business, if there were opportunities for new businesses, funding sources for a new business, skills required to start a new business, shutting down a business, and whether a fear of failure was preventing the start of a new business. The dataset also contains variables that describe the respondent's gender, age, educational attainment, labor force status, the entrepreneurial areas in which they feel they have strong expertise, and the month and year the survey was conducted.

The number of small and medium-sized enterprises in the United States was forecast to continuously decrease between 2024 and 2029 by in total 6.7 thousand enterprises (-2.24 percent). After the fourteenth consecutive decreasing year, the number is estimated to reach 291.94 thousand enterprises and therefore a new minimum in 2029. According to the OECD an enterprise is defined as the smallest combination of legal units, which is an organisational unit producing services or goods, that benefits from a degree of autonomy with regards to the allocation of resources and decision making. Shown here are small and medium-sized enterprises, which are defined as companies with 1-249 employees.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

This dataset contains all current and active business licenses issued by the Department of Business Affairs and Consumer Protection. This dataset contains a large number of records /rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.

Data fields requiring description are detailed below.

APPLICATION TYPE: 'ISSUE' is the record associated with the initial license application. 'RENEW' is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. 'C_LOC' is a change of location record. It means the business moved. 'C_CAPA' is a change of capacity record. Only a few license types my file this type of application. 'C_EXPA' only applies to businesses that have liquor licenses. It means the business location expanded.

LICENSE STATUS: 'AAI' means the license was issued.

Business license owners may be accessed at: http://data.cityofchicago.org/Community-Economic-Development/Business-Owners/ezma-pppn To identify the owner of a business, you will need the account number or legal name.

Data Owner: Business Affairs and Consumer Protection

Time Period: Current

Frequency: Data is updated daily

Women's Business Centers (WBCs) represent a national network of nearly 100 educational centers throughout the United States and its territories, which are designed to assist women in starting and growing small businesses. WBCs seek to "level the playing field" for women entrepreneurs, who still face unique obstacles in the business world. SBA’s Office of Women’s Business Ownership (OWBO) oversees the WBC network, which provides entrepreneurs (especially women who are economically or socially disadvantaged) comprehensive training and counseling on a variety of topics in several languages

Abstract copyright UK Data Service and data collection copyright owner.

The Business Structure Database (BSD) contains a small number of variables for almost all business organisations in the UK. The BSD is derived primarily from the Inter-Departmental Business Register (IDBR), which is a live register of data collected by HM Revenue and Customs via VAT and Pay As You Earn (PAYE) records. The IDBR data are complimented with data from ONS business surveys. If a business is liable for VAT (turnover exceeds the VAT threshold) and/or has at least one member of staff registered for the PAYE tax collection system, then the business will appear on the IDBR (and hence in the BSD). In 2004 it was estimated that the businesses listed on the IDBR accounted for almost 99 per cent of economic activity in the UK. Only very small businesses, such as the self-employed were not found on the IDBR.

The IDBR is frequently updated, and contains confidential information that cannot be accessed by non-civil servants without special permission. However, the ONS Virtual Micro-data Laboratory (VML) created and developed the BSD, which is a 'snapshot' in time of the IDBR, in order to provide a version of the IDBR for research use, taking full account of changes in ownership and restructuring of businesses. The 'snapshot' is taken around April, and the captured point-in-time data are supplied to the VML by the following September. The reporting period is generally the financial year. For example, the 2000 BSD file is produced in September 2000, using data captured from the IDBR in April 2000. The data will reflect the financial year of April 1999 to March 2000. However, the ONS may, during this time, update the IDBR with data on companies from its own business surveys, such as the Annual Business Survey (SN 7451).

The data are divided into 'enterprises' and 'local units'. An enterprise is the overall business organisation. A local unit is a 'plant', such as a factory, shop, branch, etc. In some cases, an enterprise will only have one local unit, and in other cases (such as a bank or supermarket), an enterprise will own many local units.

For each company, data are available on employment, turnover, foreign ownership, and industrial activity based on Standard Industrial Classification (SIC)92, SIC 2003 or SIC 2007. Year of 'birth' (company start-up date) and 'death' (termination date) are also included, as well as postcodes for both enterprises and their local units. Previously only pseudo-anonymised postcodes were available but now all postcodes are real.

The ONS is continually developing the BSD, and so researchers are strongly recommended to read all documentation pertaining to this dataset before using the data.

Linking to Other Business Studies
These data contain IDBR reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.

Latest Edition Information
For the sixteenth edition (March 2024), data files and a variable catalogue document for 2023 have been added.

Main Topics:

The following variables are available for enterprises and local units:

• employment (and employees)
• turnover
• Standard Industrial Classification (1992, 2003 and 2007 classifications are available)
• legal status (e.g. sole proprietor, partnership, public corporation, non-profit organisation etc)
• foreign ownership
• birth (company start date)
• death (termination date of trading)
• various geographical variables
  

'Employment' includes business owners, whereas 'employees' measures the number of staff, excluding owners.

Observations for enterprises also include a variable for ownership if the enterprise is part of a large group of companies.

Local units have an additional ‘death code’ variable, which serves as an indicator as to why the plant closed (e.g. as a result of a merger). It should also be noted that there is no turnover information for individual plants. This is because the ONS does not collect financial information at the plant level, which is notoriously difficult, especially for manufacturing plants where often no financial transactions are processed.

The birth and death variables are particularly useful for research, although it should be noted that for businesses that began trading before 1973, their birth date will be set to 1973. This is the year that VAT was introduced in the UK, and hence the first point in time for VAT registration for these companies. Companies that began trading since 1973 have their ‘real’ date of birth listed.

We will create a customized startups dataset tailored to your specific requirements. Data points may include startup foundation dates, locations, industry sectors, funding rounds, investor profiles, financial health, market positions, technological assets, employee counts, and other relevant metrics.

Utilize our startups datasets for a variety of applications to boost strategic planning and innovation tracking. Analyzing these datasets can help organizations grasp market trends and growth opportunities within the startup ecosystem, allowing for more precise strategy adjustments and operations. You can choose to access the complete dataset or a customized subset based on your business needs.

Popular use cases include: enhancing competitive analysis, identifying emerging market trends, and finding high-potential investment opportunities.

Every single contact from our firmographic database with 341 million+ companies comes directly from local sources that you can trust and are GDPR proof. We can deliver 200 firmographics such as company size, industry, legal status, revenue, employee size, opening hours, geocodes, import / export. BoldData is the nr.1 supplier of firmographic data supplier because we make use of thousands of local data sources. Ask us for a quote!

Company Datasets for valuable business insights!

Discover new business prospects, identify investment opportunities, track competitor performance, and streamline your sales efforts with comprehensive Company Datasets.

These datasets are sourced from top industry providers, ensuring you have access to high-quality information:

• Owler: Gain valuable business insights and competitive intelligence. -AngelList: Receive fresh startup data transformed into actionable insights. -CrunchBase: Access clean, parsed, and ready-to-use business data from private and public companies. -Craft.co: Make data-informed business decisions with Craft.co's company datasets. -Product Hunt: Harness the Product Hunt dataset, a leader in curating the best new products.

We provide fresh and ready-to-use company data, eliminating the need for complex scraping and parsing. Our data includes crucial details such as:

• Company name;
• Size;
• Founding date;
• Location;
• Industry;
• Revenue;
• Employee count;
• Competitors.

You can choose your preferred data delivery method, including various storage options, delivery frequency, and input/output formats.

Receive datasets in CSV, JSON, and other formats, with storage options like AWS S3 and Google Cloud Storage. Opt for one-time, monthly, quarterly, or bi-annual data delivery.

With Oxylabs Datasets, you can count on:

• Fresh and accurate data collected and parsed by our expert web scraping team.
• Time and resource savings, allowing you to focus on data analysis and achieving your business goals.
• A customized approach tailored to your specific business needs.
• Legal compliance in line with GDPR and CCPA standards, thanks to our membership in the Ethical Web Data Collection Initiative.

Pricing Options:

Standard Datasets: choose from various ready-to-use datasets with standardized data schemas, priced from $1,000/month.

Custom Datasets: Tailor datasets from any public web domain to your unique business needs. Contact our sales team for custom pricing.

Experience a seamless journey with Oxylabs:

• Understanding your data needs: We work closely to understand your business nature and daily operations, defining your unique data requirements.
• Developing a customized solution: Our experts create a custom framework to extract public data using our in-house web scraping infrastructure.
• Delivering data sample: We provide a sample for your feedback on data quality and the entire delivery process.
• Continuous data delivery: We continuously collect public data and deliver custom datasets per the agreed frequency.

Unlock the power of data with Oxylabs' Company Datasets and supercharge your business insights today!

The Panel Study of Entrepreneurial Dynamics (PSED) research program was designed to longitudinally examine the startup process with multi-year cohort tracking, so as to enhance the scientific understanding of how individuals start businesses. The project provided data on the process of business formation based on nationally-representative samples of nascent entrepreneurs, those active in business creation. PSED I (available as ICPSR 37203) began with screening in 1998-2000 to select a cohort of 830 with three follow-up interviews. PSED II (available as ICPSR 37202) began with screening in 2005-2006, followed by six yearly interviews. The information obtained as part of the PSED research program included data on the nature of those active as nascent entrepreneurs, the activities undertaken during the start-up process, and the characteristics of start-up efforts that become new firms. A consolidated data set was developed to provide harmonized measures of transitions and outcomes for all PSED I and PSED II cases.

NFIB Business Optimism Index in the United States decreased to 98.60 points in June from 98.80 points in May of 2025. This dataset provides - United States Nfib Business Optimism Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Business licenses issued by the Department of Business Affairs and Consumer Protection in the City of Chicago from 2006 to the present. This dataset contains a large number of records/rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.

Data fields requiring description are detailed below.

APPLICATION TYPE: ‘ISSUE’ is the record associated with the initial license application. ‘RENEW’ is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. ‘C_LOC’ is a change of location record. It means the business moved. ‘C_CAPA’ is a change of capacity record. Only a few license types may file this type of application. ‘C_EXPA’ only applies to businesses that have liquor licenses. It means the business location expanded.

LICENSE STATUS: ‘AAI’ means the license was issued. ‘AAC’ means the license was cancelled during its term. ‘REV’ means the license was revoked. 'REA' means the license revocation has been appealed.

LICENSE STATUS CHANGE DATE: This date corresponds to the date a license was cancelled (AAC), revoked (REV) or appealed (REA).

Business License Owner information may be accessed at: https://data.cityofchicago.org/dataset/Business-Owners/ezma-pppn. To identify the owner of a business, you will need the account number or legal name, which may be obtained from this Business Licenses dataset.

Data Owner: Business Affairs and Consumer Protection. Time Period: January 1, 2006 to present. Frequency: Data is updated daily.

Small Business Project Management Software Market Outlook

The global market size for Small Business Project Management Software was valued at approximately $2.8 billion in 2023 and is projected to reach around $6.1 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 9.1% during the forecast period. This robust growth is primarily driven by the increasing adoption of digital tools to enhance efficiency and collaboration among small enterprises. The proliferation of cloud technology and the increasing need for remote work solutions also contribute significantly to the market's expansion.

One of the major growth factors for this market is the rising awareness among small and medium-sized enterprises (SMEs) about the benefits of project management software. These tools provide a structured approach to project planning, execution, and monitoring, which is crucial for businesses aiming to optimize their resources and improve productivity. Moreover, the integration of advanced technologies such as Artificial Intelligence (AI) and Machine Learning (ML) into project management software adds another layer of efficiency, enabling predictive analytics and automated workflows.

Another significant driver is the increasing need for real-time collaboration among team members, especially in a remote or hybrid work environment. Project management software platforms offer a centralized repository for project-related information, facilitating seamless communication and coordination among team members. This aspect is particularly beneficial for small businesses that often operate with limited resources but require high levels of organization and efficiency to remain competitive.

The affordability and scalability of modern project management software are also key factors contributing to market growth. Many software vendors offer tiered pricing models that allow small businesses to start with basic features and scale up as their needs grow, making these tools accessible to a wider range of enterprises. Additionally, the availability of free and open-source project management solutions provides an entry point for small businesses to adopt these technologies without substantial upfront investment.

Project Management Software has become an indispensable tool for businesses of all sizes, particularly small enterprises that need to manage their resources efficiently. These software solutions offer a range of features that help businesses streamline their operations, from task management and scheduling to resource allocation and budget tracking. By providing a centralized platform for managing projects, these tools enable teams to collaborate more effectively, reduce the risk of errors, and ensure that projects are completed on time and within budget. As the business landscape continues to evolve, the demand for robust project management solutions is expected to grow, driven by the need for greater efficiency and productivity.

Regionally, North America holds the largest share of the market due to the high penetration of digital technologies and a strong focus on operational efficiency among SMEs. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by the rapid expansion of SMEs and increasing investments in digital infrastructure. Europe, Latin America, and the Middle East & Africa also show promising growth potential, supported by favorable government policies and increasing awareness about the benefits of project management software.

Deployment Type Analysis

The deployment type segment of the Small Business Project Management Software market is bifurcated into Cloud-Based and On-Premises solutions. Cloud-Based project management software is gaining significant traction due to its flexibility, scalability, and cost-effectiveness. Small businesses, with their limited IT infrastructure and budget constraints, find cloud-based solutions particularly appealing. These solutions allow for easy access to project data from any location, which is a critical advantage in today's increasingly remote work environments. Furthermore, cloud-based platforms often come with regular updates and robust security features managed by the service provider, reducing the burden on small enterprises.

On the other hand, On-Premises deployment still holds relevance for businesses that require higher levels of data control and security. Industries dealing

The Global Entrepreneurship Monitor [GEM] research program was developed to provide comparisons among countries related to participation of adults in the firm creation process. The initial data was assembled as a pretest of five countries in 1998 and by 2012 over 100 countries had been involved in the program. The initial design for the GEM initiative was based on the first US Panel Study of Entrepreneurial Dynamics, and by 2012 data from 1,827,513 individuals had been gathered in 563 national samples and 6 specialized regional samples. This dataset is a harmonized file capturing results from all of the surveys. The procedure has been to harmonize the basic items across all surveys in all years, followed by implementing a standardized transform to identify those active as nascent entrepreneurs in the start-up process, as owner-managers of new firms, or as owner-managers of established firms. Those identified as nascent entrepreneurs or new business owners are the basis for the Total Entrepreneurial Activity [TEA] or Total Early-Stage index. This harmonized, consolidated assessment not only facilitates comparisons across countries, but provides a basis for temporal comparisons for individual countries. Respondents were queried on the following main topics: general entrepreneurship, start-up activities, ownership and management of the firm, and business angels (angel investors). Respondents were initially screened by way of a series of general questions pertaining to starting a business, such as whether they were currently trying to start a new business, whether they knew anyone who had started a new business, whether they thought it was a good time to start a new business, as well as their perceptions of the income potential and the prestige associated with starting a new business. Demographic variables include respondent age, sex, and employment status.

Crunchbase dataset to map your business ecosystem, make strategic decisions, and gather information on private and public companies. Common use cases include identifying investment opportunities, tracking company growth, and analyzing industry trends.

Use our Crunchbase Companies Information dataset to gain detailed insights into global startups and established companies across various industries. This dataset provides valuable company profiles, funding details, key executives, industry trends, and business performance, tailored for venture capitalists, market analysts, business development teams, and researchers.

By leveraging the Crunchbase Companies dataset, users can discover emerging startups, evaluate investment opportunities, track market growth, and perform competitive analysis. Whether you're seeking to enhance due diligence processes, identify new business prospects, or explore industry developments, this dataset empowers you to make data-driven decisions with confidence. Gain a deeper understanding of the business landscape and stay ahead in the competitive market by utilizing this essential dataset.

Dataset Features

Below is a breakdown of key dataset columns:
- name: The name of the company.
- url: Website or Crunchbase link for the company.
- id: Unique identifier for the company.
- cb_rank: Crunchbase ranking based on relevance and popularity.
- region: Geographic region where the company operates.
- about: Brief description of the company.
- industries: List of industries the company belongs to (e.g., photography, events, professional services).
- operating_status: Whether the company is active or inactive.
- company_type: Classification (e.g., for-profit, nonprofit).
- social_media_links: URLs to the company’s social media profiles.
- founded_date: Year or exact date when the company was founded.
- num_employees: Number of employees in the company.
- country_code: Country where the company is based.
- website: Official company website.
- contact_email: Contact email for the company.
- contact_phone: Contact phone number for the company.
- featured_list: Lists the company has been featured.
- full_description: Extended description of the company’s services or products.
- type: Type of organization (company, startup, etc.).
- uuid: Unique identifier for database tracking.
- active_tech_count: Number of technologies actively used by the company.
- builtwith_num_technologies_used: Number of technologies detected using BuiltWith.
- builtwith_tech: List of technologies used.
- ipo_status: Whether the company is public or private.
- similar_companies: URL of other companies similar to this one.
- image: Link to the company’s image or logo.
- monthly_visits: Estimated monthly web traffic.
- semrush_visits_latest_month: Website visits in the latest month according to SEMrush.
- semrush_last_updated: Last updated date for SEMrush traffic data.
- monthly_visits_growth: Change in web traffic over time.
- semrush_visits_mom_pct: Month-over-month percentage change in visits.
- num_contacts: Number of available contacts for the company.
- num_contacts_linkedin: Number of LinkedIn contacts.
- num_employee_profiles: Number of employee profiles available.
- total_active_products: Number of active products/services offered by the company.
- num_news: Number of news articles about the company.
- funding_rounds: Number of funding rounds the company has gone through.
- Bombora_last_updated: Bombora last updated date on website.
- num_investors: Number of investors associated with the company.
- legal_name: Official legal name of the company.
- num_event_appearances: Number of events the company has appeared in.
- num_acquisitions: Number of acquisitions made by the company.
- num_investments: Number of investments made by the company.
- num_advisor_positions: Number of advisor positions in the company.
- num_exits: Number of times the company has exited an investment.
- num_investments_lead: Number of times the company has led an investment round.
- num_sub_organizations: Number of sub-organizations under the company.
- num_alumni: Number of notable alumni from the company.
- Num_diversity_spotlight_investments: Number of diversity-focused investments.
- num_founder_alumni: Number of company founders who are alumni of a certain institution.
- num_funds: Number of investment funds the company has created.
- stock_symbol: Stock ticker symbol (if public).
- location: City and country where the company is headquartered.
- address: Full business address.
- contacts: List of business contacts.
- current_employees: Number of current employees.
- **semrush_loc

This dataset contains all current and active business licenses issued by the Department of Business Affairs and Consumer Protection. This dataset contains a large number of records /rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.

Data fields requiring description are detailed below.

APPLICATION TYPE: 'ISSUE' is the record associated with the initial license application. 'RENEW' is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. 'C_LOC' is a change of location record. It means the business moved. 'C_CAPA' is a change of capacity record. Only a few license types my file this type of application. 'C_EXPA' only applies to businesses that have liquor licenses. It means the business location expanded.

LICENSE STATUS: 'AAI' means the license was issued.

Business license owners may be accessed at: http://data.cityofchicago.org/Community-Economic-Development/Business-Owners/ezma-pppn To identify the owner of a business, you will need the account number or legal name.

Data Owner: Business Affairs and Consumer Protection

Time Period: Current

Frequency: Data is updated daily

This dataset contains all current and active business licenses issued by the Department of Business Affairs and Consumer Protection. This dataset contains a large number of records /rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.

Data fields requiring description are detailed below.

APPLICATION TYPE: 'ISSUE' is the record associated with the initial license application. 'RENEW' is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. 'C_LOC' is a change of location record. It means the business moved. 'C_CAPA' is a change of capacity record. Only a few license types my file this type of application. 'C_EXPA' only applies to businesses that have liquor licenses. It means the business location expanded.

LICENSE STATUS: 'AAI' means the license was issued.

Business license owners may be accessed at: http://data.cityofchicago.org/Community-Economic-Development/Business-Owners/ezma-pppn To identify the owner of a business, you will need the account number or legal name.

Data Owner: Business Affairs and Consumer Protection

Time Period: Current

Frequency: Data is updated daily

The current body of research on the gender-energy nexus has largely concentrated on the effects of energy poverty within households, highlighting the impact on women in domestic settings. Nonetheless, women entrepreneurs engaged in productive activities are also pivotal in adopting new energy technologies. The second version was built on the first version of the dataset and incorporated significant updates, presenting raw and processed data from 40 face-to-face interviews conducted across multiple African countries, including Nigeria, which was previously excluded. The current Version 3 includes additional data cleaning, improved consistency checks, and is the most updated and reliable version for reference or analysis compared to previous versions.

The dataset focuses on micro and small-sized enterprises with at least one female owner, offering a unified and comprehensive sample to assess energy access among women entrepreneurs in Africa and explore the potential for renewable energy adoption.

The data collection through semi-structured, face-to-face interviews occurred between February and October 2024. The interviews followed a predetermined semi-structured questionnaire designed to collect quantitative and qualitative data. The notes section explains the main methods and references used in the dataset. Distinctions are also made between primary and secondary data for appliance power ratings, ensuring transparency in cases where secondary data supplements gaps. This version (as did Version 2) includes updated technical data, such as time-of-use information for appliances, enhancing the dataset's strength in providing technical insights.

Key components of the dataset include: - Socio-economic characteristics: Enterprise location, ISIC division and industry sector classification, main production goods, gender-based ownership structures, enterprise formality (based on registration), year of establishment or business start, enterprise size (number of employees), profit margins, and business challenges related to the owner's gender.
- Energy access and use: Type of energy carriers used, subapplications, energy supply shortages, energy consumption levels, type, number, power rating of appliances used, temperature requirements, time-of-use data, and energy expenditure.
- Potential for renewable energy adoption: Type and amount of process waste, perceived barriers and drivers for renewable energy adoption, willingness to invest in or pay for new technologies, and preferred financing methods for such technologies.

This dataset provides detailed information on the top 300 startups in India, covering the period from 1984 to 2022. It offers valuable insights into the Indian startup ecosystem, including company details, founding information, industrial domains, employee numbers, and funding specifics. The dataset serves as a resource for understanding the landscape of new businesses that aim for significant growth and impact, acknowledging the inherent uncertainties and high rates of failure, alongside the stories of those that achieve success.

Columns

• Company: The name of the startup.
• City: The city where the startup was initially established.
• Starting Year: The year in which the startup began its operations.
• Founders: The names of the individuals who founded the startup.
• Industries: The industrial domain or sector to which the startup belongs.
• Description: A summary of what the company does.
• No. of Employees: The total number of employees working for the startup.
• Funding Amount in USD: The total amount of funding received by the startup, expressed in US Dollars.
• Funding Rounds: The number of times a startup has sought and secured additional capital from the market. This reflects the process of trading equity for capital to advance the company.
• No. of Investors: The total number of investors involved with the startup.

Distribution

The dataset contains information on 300 unique startups. A notable portion of these companies originated in Bengaluru (41%) and Mumbai (18%). The starting years of these startups range from 1984 to 2020, with a significant concentration of new ventures emerging between 2009 and 2016. Regarding industrial domains, E-Learning, EdTech, and Education (2%), along with Financial Services (1%), are represented, with a wide array of other industries making up the majority. The number of employees varies, with 21% of startups having 101-250 employees and 15% having 11-50 employees. Funding amounts range up to $24.8 billion, with a large number of startups falling into the lower funding tiers. The number of funding rounds also shows a distribution, with many companies undergoing multiple rounds to secure capital.

Usage

This dataset is ideal for: * Data Science and Analytics: Performing statistical analysis, identifying trends, and building predictive models related to startup success or failure. * Finance and Investing: Analysing investment patterns, funding rounds, and the financial health of startups. * Data Visualisation: Creating charts and dashboards to illustrate the growth, distribution, and characteristics of the Indian startup ecosystem. * Natural Language Processing (NLP): Analysing company descriptions and industry categories for insights into business models and market niches. * Clustering: Grouping similar startups based on various attributes like industry, funding, or employee size. * Entrepreneurship Research: Understanding scalable business models and the factors contributing to startup growth and influence.

Coverage

• Geographic Scope: Focuses exclusively on India, with specific data on cities of origin.
• Time Range: Covers startups founded between 1984 and 2022.
• Demographic/Scope: Encompasses the top 300 startups in India, providing insights into their founders, industrial domains, and employee sizes.

License

CCO

Who Can Use It

• Entrepreneurs: To understand business models, market trends, and competitive landscapes in India.
• Investors and Venture Capitalists: For market research, due diligence, and identifying potential investment opportunities.
• Researchers and Academics: To study startup ecosystems, economic development, and entrepreneurial trends in emerging markets.
• Data Analysts and Scientists: For various analytical projects, model development, and data exploration.
• Government Agencies and Policy Makers: To inform policies supporting innovation and startup growth.

Dataset Name Suggestions

• Indian Startup Ecosystem 1984-2022
• Top 300 Indian Startups
• India Venture Capital Insights
• Historical Indian Business Ventures
• Indian Startup Funding Data

Attributes

Original Data Source: Indian startups