Dataset

This dataset was created by Muhammad Saad

Released under Data files © Original Authors

Contents

Enterprise-Value-To-Sales-Ratio Time Series for Box Inc. Box, Inc. provides a cloud content management platform that enables organizations of various sizes to manage and share their content from anywhere on any device in the United States and Japan. The company's Software-as-a-Service platform enables users to work with their content as they need from secure external collaboration, workspaces to e-signature processes, and content workflows improving employee productivity and accelerating business processes. It also offers web, mobile, and desktop applications of its solutions on a platform, as well as the ability to develop custom applications. The company was formerly known as Box.net, Inc. and changed its name to Box, Inc. in November 2011. Box, Inc. was incorporated in 2005 and is headquartered in Redwood City, California.

Content

The City’s certification programs, including the Minority and Women-owned Business Enterprise (M/WBE) Program, the Emerging Business Enterprise (EBE) Program and the Locally-based Business Enterprise (LBE) Program certify, promote, and foster the growth of the City’s minority and women-owned businesses and eligible small construction and construction-related businesses. Companies that become certified obtain greater access to and information about contracting opportunities, receive technical assistance to better compete for those opportunities, and benefit from inclusion in the City’s Online Directory of Certified Firms. This list contains detailed information on certified companies, including a brief description of their work history, contact information, and detailed information about what the companies sell. This data is up to date as of the date reflected in the "About" tab of this dataset.

Context

This is a dataset hosted by the City of New York. The city has an open data platform found here and they update their information according the amount of data that is brought in. Explore New York City using Kaggle and all of the data sources available through the City of New York organization page!

• Update Frequency: This dataset is updated weekly.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

Photo by Nathan Dumlao on Unsplash

This is the City of New Orleans State and Local DBE directory data as of 8/7/18. Only firms identified from either this list or the state directory search here: http://www8.dotd.la.gov/UCP/UCPSearch.aspx are counted toward the DBE participation goal for companies granted procurement opportunities with the City of New Orleans. Recently certified DBE firms should allow 30 calendar days upon approval to appear in the DBE directory. If you are looking for more information about the DBE program with the City of New Orleans, visit https://nola.gov/economic-development/supplier-diversity/.

TERMS OF USE: The information provided in this file is not to be used for unsolicited advertising, spam, or any other unauthorized use. The City of New Orleans makes no claims, promises, or guarantees regarding a certified firm’s competence or capability to perform or enter into a contract. It is the responsibility of the user of the information provided in the Directory to make his/her own determination regarding the capability, competence, and/or limitations of a certified firm, as well as the firm’s ability to do business in the State. The City makes no claims, promises, or guarantees about the accuracy, completeness, or adequacy of the contents of this web site and expressly disclaims liability for errors and omissions in the contents of this dataset.

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. All eligible establishments must be registered with the registration agency. In the case of Indonesia, registration are those establishments in possession of TDP (Company registration Certificate)/NIB (Business Identification Number). Both TDP and NIB are included as the implementation of the Omnibus Law on Job Creation from 2020 was being implemented and businesses were transitioning to the new definitions.

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). Starting in 2022, the WBES bases the industry classification on ISIC Rev. 4 (with earlier surveys using ISIC Rev. 3.1). For regional coverage within a country, the WBES has national coverage.

Note: Refer to Sampling Structure section in "The Indonesia 2023 World Bank Enterprise Survey Implementation Report" for detailed methodology on sampling.

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).

In addition to the standard set of questions administered to all respondents, the sample was randomly split with two different modules that cover different set of questions: Version A – B-Ready contains additional questions tailored for the Business Ready Report covering infrastructure, trade, government regulations, finance, labor, and other topics. Version B – Green Economy and Taxation covers questions with regards to taxes, green economy, and maternity policies.

The different modules in the dataset are reflected in variable q_version.

Response rate

Overall survey response rate was 41.2%.

The Veterans Health Administration (VHA) is increasingly dependent upon data. Most of its employees generate and use vast amounts of data on a daily basis. To improve our capacity for data analysis while providing the most efficient and the highest quality health care to our Veteran patients, VHA, working with the VA Office of Information and Technology, implemented a health data warehouse. Central to this plan is consolidating data from disparate sources into a coherent single logical data model. The Corporate Data Warehouse (CDW) is the physical implementation of this logical data model at the enterprise level for VHA. Although the CDW initially began to store data as early as 2006, a renewed effort began in 2010 to accelerate CDW's content by including more subject areas from Veterans Health Information Systems and Technology Architecture (VistA) and content from other existing national data systems. CDW supports fully developed subject areas in its production environment as well as supporting rapid prototyping by extracting data directly from source systems with very minor data transformations. The Regional Data Warehouses and the Veterans Integrated Service Network (VISN) Data Warehouses share content from CDW and allow for greater reporting flexibility at the local level throughout the VHA organization.

Enterprise-Value-To-Sales-Ratio Time Series for DHI Group Inc. DHI Group, Inc. provides data, insights, and employment connections through specialized services for technology professionals and other select online communities in the United States. Its solutions include talent profiles; job postings; employer branding; and other services comprising virtual and live career events, sourcing services, and content and data services that provides tailored content to help professionals manage their careers and provide employers insight into recruiting strategies and trends. The company also operates ClearanceJobs, an online career community, which matches security-cleared professionals with employers in a secure and private environment to fill the jobs that safeguard its nation; and Dice that offers job postings of technology and non-technology companies for industries, such as positions for software engineers, big data professionals, systems administrators, database specialists, project managers, and various other technology and engineering professionals. It serves small, mid-sized, and large direct employers; staffing companies; recruiting agencies; staffing and consulting firms; and marketing departments of companies, as well as direct hiring companies. The company offers its products and services through its direct sales force and agency partner channel. The company was formerly known as Dice Holdings, Inc. and changed its name to DHI Group, Inc. in April 2015. DHI Group, Inc. was founded in 1990 and is headquartered in Centennial, Colorado.

Enterprise-Value-To-Sales-Ratio Time Series for Innodata Inc. Innodata Inc. operates as a data engineering company in the United States, the United Kingdom, the Netherlands, Canada, and internationally. The company operates through three segments: Digital Data Solutions (DDS), Synodex, and Agility. The DDS segment engages in the provision of artificial intelligence (AI) data preparation services; collecting or creating training data; annotating training data; and training AI algorithms for its customers, as well as AI model deployment and integration services. This segment also provides a range of data engineering support services, including data transformation, data curation, data hygiene, data consolidation, data extraction, data compliance, and master data management. The Synodex segment offers an industry platform that transforms medical records into useable digital data with its proprietary data models or client data models. The Agility segment provides an industry platform that offers marketing communications and public relations professionals to target and distribute content to journalists and social media influencers; and to monitor and analyze global news channels, such as print, web, radio, and TV, as well as social media channels. It serves banking, insurance, financial services, technology, digital retailing, and information/media sectors through its professional staff, senior management, and direct sales personnel. The company was formerly known as Innodata Isogen, Inc. and changed its name to Innodata Inc. in June 2012. Innodata Inc. was incorporated in 1988 and is headquartered in Ridgefield Park, New Jersey.

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).

Dataset

This dataset was created by AdelaideLiu1999

Contents

Enterprise-Value-To-Sales-Ratio Time Series for Avery Dennison Corp. Avery Dennison Corporation operates as a materials science and digital identification solutions company in the United States, Europe, the Middle East, North Africa, Asia, Latin, America, and internationally. It provides pressure-sensitive label materials consist of papers, plastic films, and metal foils; performance tapes products, including mechanical fasteners, which are precision-extruded and injection-molded plastic devices used in various automotive, general industrial, and retail applications; and other pressure-sensitive adhesive-based materials and converted products under the Fasson, JAC, and Avery Dennison brands. The company also offers graphics and reflective products that include a variety of films and other products for the architectural, commercial sign, digital printing, and other related market segments; durable cast and reflective films to the construction, automotive, and fleet transportation markets; sign shops, commercial printers, and designers for a range of pressure-sensitive materials; reflective films for traffic and safety applications; and pressure-sensitive vinyl and specialty materials for digital imaging, screen printing, and sign cutting applications under the Avery Dennison and Mactac brand names. In addition, it provides branding solutions, including brand embellishments, graphic tickets, tags, labels, and sustainable packaging; and information solutions, such as item-level RFID, visibility and loss prevention, price ticketing and marking, productivity and media, and brand protection and security solutions, as well as care, content, and country of origin compliance solutions. It serves home and personal care, apparel, general retail, e-commerce, logistics, food and grocery, pharmaceuticals, and automotive industries. The company was formerly known as Avery International Corporation and changed its name to Avery Dennison Corporation in 1990. Avery Dennison Corporation was founded in 1935 and is headquartered in Mentor, Ohio.

Dataset

This dataset was created by Akash Vishwakarma☑️

Contents

The Community Business Enterprise (CBE) Program encourages business owners who are minorities, women, disabled veterans, or disadvantaged to capitalize on opportunities in government and private-sector procurement programs. For more information, please see the LA County Department of Consumer & Business Affairs website. This layer is an extract of the CBE dataset in August 2021. In default settings, the layer is symbolized to highlight minority business enterprises (MBE). This layer is distinct from similar upload in that this layer has supervisor district (sup_dist) and service planning area (spa) as attributes, based on "center in" spatial join.

For more information about this dataset, please contact egis@isd.lacounty.gov

Free-Cash-Flow-To-The-Firm Time Series for Udemy Inc. Udemy, Inc., a learning company, that operates a marketplace platform for learning skills in North America, Europe, the Middle East, Africa, the Asia Pacific, and Latin America. It operates through Enterprise and Consumer segments. The company offers skill acquisition, development, and validation courses through direct-to-consumer or Udemy Business offerings in various languages. It also provides reskilling or upskilling in technology, business, soft skills, and personal development; access to interactive learning tools comprising quizzes and exercises, as well as the ability to ask questions and engage with the instructor directly; Udemy AI assistant, a natural-language chat interface to help learners discover and engage with the company's content; AI skills mapping tool and AI-powered learning paths; and professional services, including learning architecture and content mapping services. The company serves organizations, including enterprise and government customers; and individuals. Udemy, Inc. was incorporated in 2010 and is headquartered in San Francisco, California.

OpenText Content Services connects information from across the enterprise with the people and systems that need it. The enterprise content management software drives personal productivity with simple, intuitive tools and user experiences and process productivity through full integration with lead applications such as SAP and Microsoft. Content Services has an intuitive user interface, with role-based views to enterprise, project-oriented and personal workspaces that feature access to the most recent documents and more. Connected Workspaces simplify the deployment of ECM using templates aligned to business processes.

This is a Maryland Department of Transportation (MDOT) hosted service. Find more information at http://www.mdot.maryland.gov/newMDOT/MBE/Index.html. Last Updated: Daily ADDITIONAL TERMS OF USE: The MDOT directory of certified firms is intended to be used as a guide for identifying certified Minority (MBE)/Disadvantaged (DBE)/Small Business Enterprise (SBE) firms and Airport Concession Disadvantaged Business Enterprise (ACDBE) firms to utilize on State and/or USDOT assisted contracts. Information in the Directory should be verified with the MDOT Office of Minority Business Enterprise (OMBE). The MDOT maintains the Directory for the purpose of providing a reference source of the firms certified by the MDOT. However, eligibility for certification does not mean that the firm meets all of the requirements needed to do business in the State. Therefore, users of this website should independently verify a firm’s ability to do business in Maryland. The Directory lists certified firms in alphabetical order and also contains information on the specific products and/or services the firm is certified to provide. The MDOT makes no claims, promises, or guarantees regarding a certified firm’s competence or capability to perform or enter into a contract. It is the responsibility of the user of the information provided in the Directory to make his/her own determination regarding the capability, competence, and/or limitations of a certified firm, as well as the firm’s ability to do business in the State. The MDOT makes no claims, promises, or guarantees about the accuracy, completeness, or adequacy of the contents of this web site and expressly disclaims liability for errors and omissions in the contents of this web site. No warranty of any kind is given with respect to the contents of this web site or any links to other web sites it may contain. Reference in this web site to any specific commercial product, process, or service, or the use of any trade or business name is for the information of the public and does not constitute an endorsement or recommendation by the MDOT. Information presented on this web site is considered public information and may be copied and/or distributed. If there is a question concerning the validity of the information provided in this directory, contact the MDOT Office of Minority Business Enterprise. You may contact the office at (410) 865-1269 or (800) 544-6055.

Total-Debt-To-Ebitda Time Series for Udemy Inc. Udemy, Inc., a learning company, that operates a marketplace platform for learning skills in North America, Europe, the Middle East, Africa, the Asia Pacific, and Latin America. It operates through Enterprise and Consumer segments. The company offers skill acquisition, development, and validation courses through direct-to-consumer or Udemy Business offerings in various languages. It also provides reskilling or upskilling in technology, business, soft skills, and personal development; access to interactive learning tools comprising quizzes and exercises, as well as the ability to ask questions and engage with the instructor directly; Udemy AI assistant, a natural-language chat interface to help learners discover and engage with the company's content; AI skills mapping tool and AI-powered learning paths; and professional services, including learning architecture and content mapping services. The company serves organizations, including enterprise and government customers; and individuals. Udemy, Inc. was incorporated in 2010 and is headquartered in San Francisco, California.

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. All eligible establishments must be registered with the registration agency. In the case of Viet Nam, the listing from the General Statistics Office of Vietnam, the 2021 Economic Census, was used. The registration agency is the Department of Planning and investment.

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). Starting in 2022, the WBES bases the industry classification on ISIC Rev. 4 (with earlier surveys using ISIC Rev. 3.1). For regional coverage within a country, the WBES has national coverage.

Note: Refer to Sampling Structure section in "The Viet Nam 2023 World Bank Enterprise Survey Implementation Report" for detailed methodology on sampling.

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).

The questionnaire implemented in the Viet Nam 2023 WBES included additional questions tailored for the Business Ready Report covering infrastructure, trade, government regulations, finance, labor, and other topics.

Response rate

Overall survey response rate was 31.7%.

Big-RSS_337m Dataset

  Overview

Big-RSS_337m is a production-ready dataset containing 337 million web content records. This is a filtered subset of the full Big-RSS_1.1b dataset, designed for enterprise applications requiring structured web content intelligence.

  Dataset Specifications

Size: 140GB Format: CSV Records: 337 million Columns: 4

  Data Schema

Column Type Description

url String Source URL

content_mime_type String Declared MIME… See the full description on the dataset page: https://huggingface.co/datasets/odinglynn/Orkavi-Big-RSS_337m.

Financial-Leverage-Ratio Time Series for Allgeier SE. Allgeier SE provides information technology (IT) solutions and software services in Germany. It operates in two segments, Enterprise IT and mgm technology partners. The company provides software lifecycle services, nearshore-/offshore delivery, big data / business intelligence, industry solutions and cloud, managed services & app management, mobile enterprise/apps, process and IT consulting, IT security, enterprise content management, and IT infrastructure services. It is also involved in designing, developing, launching, and operating business software solutions, such as document management; enterprise resource planning; e-commerce, business process management; business digitalization platform and business efficiency solutions; IT services and open-source software development; consultancy, software solutions; cloud transformation and cloudnative application development, as well as provides field service and asset management. The company is engages in Management consultancy and digital consulting, Business analysis and requirements engineering, software modelling and development, design and usability, web and application security, quality assurance, testing automation, SAP integration, process optimization, cloud services. Allgeier SE was founded in 1977 and is headquartered in Munich, Germany.