100+ datasets found
  1. Frequently leveraged external data sources for global enterprises 2020

    • statista.com
    Updated Jul 1, 2025
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    Statista (2025). Frequently leveraged external data sources for global enterprises 2020 [Dataset]. https://www.statista.com/statistics/1235514/worldwide-popular-external-data-sources-companies/
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    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2020
    Area covered
    Worldwide
    Description

    In 2020, according to respondents surveyed, data masters typically leverage a variety of external data sources to enhance their insights. The most popular external data sources for data masters being publicly available competitor data, open data, and proprietary datasets from data aggregators, with **, **, and ** percent, respectively.

  2. Data sources

    • kaggle.com
    Updated Oct 1, 2024
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    j pc (2024). Data sources [Dataset]. https://www.kaggle.com/datasets/jpcsss/data-sources
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 1, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    j pc
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Dataset

    This dataset was created by j pc

    Released under Apache 2.0

    Contents

  3. Importance of data sources for analytics vs access among U.S. businesses...

    • statista.com
    Updated Mar 25, 2016
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    Statista (2016). Importance of data sources for analytics vs access among U.S. businesses 2015 [Dataset]. https://www.statista.com/statistics/562625/united-states-data-analytics-importance-vs-access/
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    Dataset updated
    Mar 25, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic illustrates the importance of various data sources for business analytics, compared to the level of access businesses have to those data sources, according to a marketing survey of C-level executives, conducted in ************* by Black Ink. As of *************, product and service usage data was listed as important by ** percent of respondents, but the degree of access to that data was put at ** percent.

  4. d

    CompanyData.com (BoldData) - Firmographic Data on 380 Million Businesses...

    • datarade.ai
    Updated Oct 28, 2020
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    CompanyData.com (BoldData) (2020). CompanyData.com (BoldData) - Firmographic Data on 380 Million Businesses Worldwide in Single Dataset [Dataset]. https://datarade.ai/data-products/data-cleansing-bolddata
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    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Oct 28, 2020
    Dataset authored and provided by
    CompanyData.com (BoldData)
    Area covered
    Montenegro, Bermuda, Mozambique, Malta, French Guiana, Tanzania, Mauritania, Central African Republic, Barbados, Timor-Leste
    Description

    At CompanyData.com (BoldData), we provide verified, structured company data sourced directly from official trade registers. Our firmographic dataset of 380 million businesses worldwide gives you access to one of the most comprehensive and accurate B2B data sources on the market. Built for scale, it delivers a single, unified dataset covering companies across all industries and geographies—ideal for any business that relies on high-quality data to operate globally.

    Each company profile is packed with essential firmographic fields, including legal name, registration number, industry classification (NACE/SIC), business size, revenue estimates, incorporation date, and group structure. We also include decision-maker contacts such as names, roles, email addresses, and mobile phone numbers, all verified at the source and regularly updated to maintain the highest accuracy standards.

    This dataset is trusted by teams across compliance, risk, sales, marketing, data science, and analytics. Whether you’re conducting KYC/AML checks, building targeted B2B outreach, enriching your CRM systems, or training AI models, our data is ready to support your goals at any scale. Its structure and completeness make it easy to filter, integrate, and activate in virtually any system or workflow.

    We deliver this global firmographic dataset through multiple channels: as tailored bulk files, via our self-service platform, through real-time API access, or using custom enrichment services to enhance your existing records. With trusted coverage of 380 million companies, expert data curation, and global delivery capabilities, CompanyData.com (BoldData) empowers you to act with confidence, wherever your business takes you.

  5. Data Sources

    • kaggle.com
    Updated Nov 12, 2024
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    Triveni14 (2024). Data Sources [Dataset]. https://www.kaggle.com/datasets/triveni14/data-sources/suggestions?status=pending&yourSuggestions=true
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 12, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Triveni14
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Dataset

    This dataset was created by Triveni14

    Released under MIT

    Contents

  6. Business Intelligence and Analytics

    • catalog.data.gov
    • datasets.ai
    Updated Jun 25, 2024
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    data.usaid.gov (2024). Business Intelligence and Analytics [Dataset]. https://catalog.data.gov/dataset/business-intelligence-and-analytics
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    Dataset updated
    Jun 25, 2024
    Dataset provided by
    United States Agency for International Developmenthttp://usaid.gov/
    Description

    The Business Intelligence and Analytics (BI&A) platform provides technical services for and on behalf of US AID GH Bureau and the supply chain business initiatives. GH is interested in initiating, maintaining, and furthering its maturity level with enterprise data/information management and to build a fully integrated data warehouse by mapping data from multiple Implementing Partner (IP) application systems and using this data as primary data sources for data and trend analysis as well as predictive modeling. The USAID BIA Application receives data on a periodic basis from various Information Providers and integrates and transforms this data into a consolidated data repository. Software tools, including MicroStrategy, are utilized by USAID personnel to perform reporting and analytics on these data sets. USAID BI&A is a Software as a Service (SaaS) offering that most approximately is represented by Use Case 4 in the Guide to Understanding FedRAMP v2.0.

  7. Data Sources

    • kaggle.com
    Updated Sep 26, 2023
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    Aysha Putri Sonia (2023). Data Sources [Dataset]. https://www.kaggle.com/datasets/ayshaputrisonia/data-sources/discussion
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 26, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Aysha Putri Sonia
    Description

    Dataset

    This dataset was created by Aysha Putri Sonia

    Contents

  8. d

    Doorda UK Company Data | 16M+ Businesses from 75 Data Sources | Business...

    • datarade.ai
    .csv
    Updated May 24, 2024
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    Doorda (2024). Doorda UK Company Data | 16M+ Businesses from 75 Data Sources | Business Intelligence and Analytics [Dataset]. https://datarade.ai/data-products/doorda-uk-company-data-13m-businesses-from-75-data-sources-doorda
    Explore at:
    .csvAvailable download formats
    Dataset updated
    May 24, 2024
    Dataset authored and provided by
    Doorda
    Area covered
    United Kingdom
    Description

    Doorda's UK Company Data provides a comprehensive database of over 16 million businesses sourced from 75 data sources, offering unparalleled insights for business intelligence and analytics purposes.

    Volume and stats: - 16M Active and delisted Companies - 42M Registered directorships - 25K Regulatory & Judiciary, notices and fines

    Our Company Data offers a multitude of use cases: - Market Analysis - Competitor Analysis - Lead Generation - Risk Management - Business Development

    The key benefits of leveraging our Company Data include: - Data Accuracy - Informed Decision-Making - Competitive Advantage - Efficiency - Scalability

    Covering a wide range of industries and sectors, our data empowers organizations to make informed decisions, uncover market trends, and gain a competitive edge in the UK market.

  9. Main big data sources used by companies in Spain in 2016

    • statista.com
    Updated Jun 28, 2016
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    Statista (2016). Main big data sources used by companies in Spain in 2016 [Dataset]. https://www.statista.com/statistics/781828/main-big-data-sources-used-by-companies-in-spain/
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    Dataset updated
    Jun 28, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Spain
    Description

    This statistic shows the most commonly used sources of big data among companies in Spain in 2016. Over ** percent of companies surveyed stated that they used their own employees as main big data source, whereas only ***** percent drew on external providers.

  10. d

    Email Address Data | Validated Personal and Business Emails | 148MM+ US B2B...

    • datarade.ai
    .json, .csv, .xls
    Updated Feb 20, 2024
    + more versions
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    Salutary Data (2024). Email Address Data | Validated Personal and Business Emails | 148MM+ US B2B Contacts [Dataset]. https://datarade.ai/data-products/salutary-data-email-address-data-validated-personal-and-b-salutary-data
    Explore at:
    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Feb 20, 2024
    Dataset authored and provided by
    Salutary Data
    Area covered
    United States of America
    Description

    Salutary Data is a boutique, B2B contact and company data provider that's committed to delivering high quality data for sales intelligence, lead generation, marketing, recruiting / HR, identity resolution, and ML / AI. Our database currently consists of 148MM+ highly curated B2B Contacts ( US only), along with over 4M+ companies, and is updated regularly to ensure we have the most up-to-date information.

    We can enrich your in-house data ( CRM Enrichment, Lead Enrichment, etc.) and provide you with a custom dataset ( such as a lead list) tailored to your target audience specifications and data use-case. We also support large-scale data licensing to software providers and agencies that intend to redistribute our data to their customers and end-users.

    What makes Salutary unique? - We offer our clients a truly unique, one-stop aggregation of the best-of-breed quality data sources. Our supplier network consists of numerous, established high quality suppliers that are rigorously vetted. - We leverage third party verification vendors to ensure phone numbers and emails are accurate and connect to the right person. Additionally, we deploy automated and manual verification techniques to ensure we have the latest job information for contacts. - We're reasonably priced and easy to work with.

    Products: API Suite Web UI Full and Custom Data Feeds

    Services: Data Enrichment - We assess the fill rate gaps and profile your customer file for the purpose of appending fields, updating information, and/or rendering net new “look alike” prospects for your campaigns. ABM Match & Append - Send us your domain or other company related files, and we’ll match your Account Based Marketing targets and provide you with B2B contacts to campaign. Optionally throw in your suppression file to avoid any redundant records. Verification (“Cleaning/Hygiene”) Services - Address the 2% per month aging issue on contact records! We will identify duplicate records, contacts no longer at the company, rid your email hard bounces, and update/replace titles or phones. This is right up our alley and levers our existing internal and external processes and systems.

  11. Alternative Data Market Analysis North America, Europe, APAC, South America,...

    • technavio.com
    pdf
    Updated Jan 17, 2025
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    Technavio, Alternative Data Market Analysis North America, Europe, APAC, South America, Middle East and Africa - US, Canada, China, UK, Mexico, Germany, Japan, India, Italy, France - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/alternative-data-market-industry-analysis
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    pdfAvailable download formats
    Dataset updated
    Jan 17, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2025 - 2029
    Area covered
    Mexico, United Kingdom, United States, Canada
    Description

    Snapshot img

    Alternative Data Market Size 2025-2029

    The alternative data market size is forecast to increase by USD 60.32 billion, at a CAGR of 52.5% between 2024 and 2029.

    The market is experiencing significant growth, driven by the increased availability and diversity of data sources. This expanding data landscape is fueling the rise of alternative data-driven investment strategies across various industries. However, the market faces challenges related to data quality and standardization. As companies increasingly rely on alternative data to inform business decisions, ensuring data accuracy and consistency becomes paramount. Addressing these challenges requires robust data management systems and collaboration between data providers and consumers to establish industry-wide standards. Companies that effectively navigate these dynamics can capitalize on the wealth of opportunities presented by alternative data, driving innovation and competitive advantage.

    What will be the Size of the Alternative Data Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free SampleThe market continues to evolve, with new applications and technologies shaping its dynamics. Predictive analytics and deep learning are increasingly being integrated into business intelligence systems, enabling more accurate risk management and sales forecasting. Data aggregation from various sources, including social media and web scraping, enriches datasets for more comprehensive quantitative analysis. Data governance and metadata management are crucial for maintaining data accuracy and ensuring data security. Real-time analytics and cloud computing facilitate decision support systems, while data lineage and data timeliness are essential for effective portfolio management. Unstructured data, such as sentiment analysis and natural language processing, provide valuable insights for various sectors. Machine learning algorithms and execution algorithms are revolutionizing trading strategies, from proprietary trading to high-frequency trading. Data cleansing and data validation are essential for maintaining data quality and relevance. Standard deviation and regression analysis are essential tools for financial modeling and risk management. Data enrichment and data warehousing are crucial for data consistency and completeness, allowing for more effective customer segmentation and sales forecasting. Data security and fraud detection are ongoing concerns, with advancements in technology continually addressing new threats. The market's continuous dynamism is reflected in its integration of various technologies and applications. From data mining and data visualization to supply chain optimization and pricing optimization, the market's evolution is driven by the ongoing unfolding of market activities and evolving patterns.

    How is this Alternative Data Industry segmented?

    The alternative data industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. TypeCredit and debit card transactionsSocial mediaMobile application usageWeb scrapped dataOthersEnd-userBFSIIT and telecommunicationRetailOthersGeographyNorth AmericaUSCanadaMexicoEuropeFranceGermanyItalyUKAPACChinaIndiaJapanRest of World (ROW)

    By Type Insights

    The credit and debit card transactions segment is estimated to witness significant growth during the forecast period.Alternative data derived from card and debit card transactions plays a pivotal role in business intelligence, offering valuable insights into consumer spending behaviors. This data is essential for market analysts, financial institutions, and businesses aiming to optimize strategies and enhance customer experiences. Two primary categories exist within this data segment: credit card transactions and debit card transactions. Credit card transactions reveal consumers' discretionary spending patterns, luxury purchases, and credit management abilities. By analyzing this data through quantitative methods, such as regression analysis and time series analysis, businesses can gain a deeper understanding of consumer preferences and trends. Debit card transactions, on the other hand, provide insights into essential spending habits, budgeting strategies, and daily expenses. This data is crucial for understanding consumers' practical needs and lifestyle choices. Machine learning algorithms, such as deep learning and predictive analytics, can be employed to uncover patterns and trends in debit card transactions, enabling businesses to tailor their offerings and services accordingly. Data governance, data security, and data accuracy are critical considerations when dealing with sensitive financial data. Alternative datasets

  12. Monthly Inquiry into the Distribution and Services Sector, 1997-2009: Secure...

    • beta.ukdataservice.ac.uk
    Updated 2011
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    Office For National Statistics (2011). Monthly Inquiry into the Distribution and Services Sector, 1997-2009: Secure Access [Dataset]. http://doi.org/10.5255/ukda-sn-6747-1
    Explore at:
    Dataset updated
    2011
    Dataset provided by
    DataCitehttps://www.datacite.org/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Office For National Statistics
    Description

    The Monthly Inquiry into the Distribution and Services Sector (MIDSS) is designed to meet the Government need for the production of a monthly Index of Services (IoS) and the Index of Distribution (IoD) which is a component of the IoS. Turnover data are collected monthly and, additionally, employment data are collected quarterly. It is used to estimate the change in turnover (and employment) in the service and distribution industries (excluding retail).

    MIDSS provides 40% of the current turnover data used in the compilation of the IoS and 45% of the data used to estimate the number of employees in the distribution and service industries. Both of these measures are key short-term economic indicators. The MIDSS also provides 30% per cent of the output measure of Gross Domestic Product (GDP) and feeds into the income measure of GDP along with other labour market data. There is no other official source of short-term economic data for distribution and service sectors with the comprehensive coverage of the MIDSS.

    MIDSS covers the following sectors: motor trades, wholesale, hotels and restaurants, transport and postal services (excluding national post activities), renting, computer and related services, research and development, business services (e.g. labour recruitment and accounting), sewage and refuse disposal, recreation, and other services.

    Linking to other business studies
    These data contain Inter-Departmental Business Register 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.

  13. B

    BI Analysis Tools Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 13, 2025
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    Archive Market Research (2025). BI Analysis Tools Report [Dataset]. https://www.archivemarketresearch.com/reports/bi-analysis-tools-56503
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Mar 13, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Business Intelligence (BI) Analysis Tools market is experiencing robust growth, driven by the increasing need for data-driven decision-making across various industries. The market, estimated at $25 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This expansion is fueled by several key factors. Firstly, the proliferation of big data and the rising adoption of cloud-based solutions are enabling organizations to access, process, and analyze vast amounts of information more efficiently. Secondly, the increasing demand for real-time analytics and predictive modeling across sectors like banking, finance, and government is further bolstering market growth. The self-service BI segment is experiencing particularly rapid growth due to its ease of use and accessibility, empowering business users to conduct their own analyses without relying solely on IT departments. Meanwhile, the enterprise segment continues to dominate the market due to the high demand for comprehensive BI solutions within large organizations. Competitive pressures are intense, with established players like Tableau, Power BI, and Qlik competing with emerging niche players and specialized solutions. Geographic expansion is also a significant driver. North America currently holds a dominant market share, driven by early adoption and high technological maturity. However, regions like Asia-Pacific are witnessing accelerated growth, fueled by rapid digitalization and increasing investment in data analytics infrastructure. Despite the positive growth trajectory, challenges remain, including data security concerns, the complexity of integrating various data sources, and the need for skilled professionals to effectively leverage BI tools. Overcoming these hurdles will be crucial to sustain the market's impressive growth trajectory in the coming years. The market is segmented by report format (traditional, self-service), application (enterprise, bank, government, others), and geography, offering diverse opportunities for various stakeholders.

  14. d

    Small Business Data Resources: U.S. Federal Government - 2014.

    • datadiscoverystudio.org
    • data.amerigeoss.org
    • +1more
    pdf
    Updated Nov 19, 2015
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    (2015). Small Business Data Resources: U.S. Federal Government - 2014. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/cf22e1bbfce1440dad0315b803552091/html
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Nov 19, 2015
    Description

    description: This list includes major sources of data collected by the U.S. government and available for research on small business. It includes business data from private, nonprofit, university, international, and other sources.; abstract: This list includes major sources of data collected by the U.S. government and available for research on small business. It includes business data from private, nonprofit, university, international, and other sources.

  15. Data sources used by companies for training AI models South Korea 2024

    • statista.com
    Updated May 27, 2025
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    Statista (2025). Data sources used by companies for training AI models South Korea 2024 [Dataset]. https://www.statista.com/statistics/1452822/south-korea-data-sources-for-training-artificial-intelligence-models/
    Explore at:
    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2024 - Nov 2024
    Area covered
    South Korea
    Description

    As of 2024, customer data was the leading source of information used to train artificial intelligence (AI) models in South Korea, with nearly ** percent of surveyed companies answering that way. About ** percent responded to use public sector support initiatives.

  16. d

    B2B Contact Data Company Records - 18M+ US Business Data Records - Employee...

    • datarade.ai
    Updated Jun 14, 2025
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    Giant Partners (2025). B2B Contact Data Company Records - 18M+ US Business Data Records - Employee Profiles & Contact Info [Dataset]. https://datarade.ai/data-products/b2b-contact-data-company-records-18m-us-business-data-reco-giant-partners
    Explore at:
    Dataset updated
    Jun 14, 2025
    Dataset authored and provided by
    Giant Partners
    Area covered
    United States of America
    Description

    Premium B2B Marketing Database - 18+ Million Company Records

    Accelerate your B2B sales and marketing success with our comprehensive business database featuring over 18 million verified company records and 70 million employee profiles. Our 20+ year data expertise delivers superior quality and coverage compared to competitors.

    Core Database Statistics

    Company Records: 18,243,524 (verified businesses)

    Employee Records: 70,420,010 (professional profiles)

    Business Email Addresses: 38,731,006 (verified and deliverable)

    Phone Numbers: 9,728,410 (direct business lines)

    Geographic Coverage: Complete US business landscape

    Industry Classification: Full SIC code taxonomy

    Advanced Targeting Categories

    Geographic Targeting: Target businesses by precise location parameters including nationwide campaigns, state-level focus, Metropolitan Service Areas (MSA), zip code radius, city and county targeting, and carrier route precision for local market penetration.

    Business Profile Segmentation: Segment companies by annual revenue (sales volume), employee count (startup to enterprise), year founded (established vs. emerging), business type (small business, corporation, public company), facility ownership status, stock exchange listings (NYSE, NASDAQ, ASE), and franchise operations.

    Industry Classification (SIC Codes): Leverage Standard Industrial Classification codes for precision targeting across 2-digit (broad categories), 4-digit (sub-industries), 6-digit (niche markets), and 8-digit (hyper-specific) classifications covering all major industries including Manufacturing, Healthcare, Technology, Financial Services, Professional Services, and more.

    Employee & Decision Maker Targeting: Identify key decision makers by job title (C-level, VP, Director, Manager), department focus (IT, Marketing, Finance, Operations), purchasing authority levels, seniority positions, and functional roles across technical, administrative, and strategic positions.

    Multi-Channel Campaign Applications

    Deploy across all major B2B marketing channels:

    Email Marketing: Direct outreach to verified business email addresses

    LinkedIn Advertising: Professional network targeting with job title precision

    Social Media: Facebook, Instagram, and Twitter/X B2B campaigns

    Search Advertising: Google, BING and YouTube business targeting

    Direct Mail: Physical address campaigns for high-value prospects

    Telemarketing: Direct phone outreach to decision makers

    Account-Based Marketing: Multi-touch ABM campaign coordination

    Data Quality & Sources

    Our business database aggregates from multiple verified sources:

    Business registration and licensing records

    Professional association memberships and directories

    Industry publications and trade organizations

    Conference and trade show participation data

    Online business profiles and corporate websites

    Financial reporting and SEC filing information

    Employment databases and HR records

    Technical Delivery & Integration

    File Formats: CSV, Excel, JSON, XML formats available

    Delivery Methods: Secure FTP, API integration, direct download portals

    Integration Options: CRM systems, marketing automation platforms, ad platforms

    Custom Selections: 1,000+ selectable business and employee attributes

    Update Frequency: Monthly data refreshes with real-time validation

    Minimum Orders: Flexible based on targeting complexity and campaign size

    Account-Based Marketing (ABM) Excellence

    Specifically designed for sophisticated ABM strategies:

    Target Account Identification: Find companies matching ideal customer profiles

    Decision Maker Mapping: Multiple contacts within target accounts

    Account Prioritization: Focus on high-revenue, high-employee companies

    Personalized Outreach: Industry and company-specific messaging

    Multi-Touch Coordination: Synchronized campaigns across channels

    Unique Value Propositions

    20+ Year Data Heritage: Established industry expertise and proven track record

    Superior Data Coverage: More extensive and accurate than competitors

    Real-Time Validation: Continuous data refreshing and quality assurance

    Advanced Segmentation: Combine multiple targeting criteria for precision

    Compliance Management: Built-in suppression lists and opt-out handling

    Technical Flexibility: API access and custom integration support

    Ideal Customer Profiles

    Technology Companies: Software, SaaS, hardware, and IT services

    Professional Services: Consulting, legal, accounting, and advisory firms

    Financial Services: Banks, insurance, investment, and fintech companies

    Healthcare Organizations: Medical devices, pharmaceuticals, and healthcare IT

    Manufacturing Companies: Industrial equipment, automotive, and consumer goods

    Marketing Agencies: Digital agencies serving B2B clients

    Sales Organizations: Inside sales, field sales, and business development teams

    Performance Optimization Features

    Lookalike ...

  17. Z

    Research data, sources and documents for thesis on Exploring Complexity...

    • data.niaid.nih.gov
    Updated Jan 24, 2020
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    Mike A. Marin (2020). Research data, sources and documents for thesis on Exploring Complexity Metrics for Artifact-Centric Business Process Models [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_1241594
    Explore at:
    Dataset updated
    Jan 24, 2020
    Dataset authored and provided by
    Mike A. Marin
    Description

    Research data, sources and documents for thesis on Exploring Complexity Metrics for Artifact-Centric Business Process Models This repository contains the supplemental material for the thesis "Exploring Complexity Metrics for Artifact-Centric Business Process Models" by Marin, Mike A., Ph.D., University of South Africa (South Africa), 2017.

  18. d

    US Business Data Executives | 91MM Total Universe Business Data | 95%...

    • datarade.ai
    Updated Nov 7, 2024
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    McGRAW (2024). US Business Data Executives | 91MM Total Universe Business Data | 95% Coverage [Dataset]. https://datarade.ai/data-providers/mcgraw/data-products/mcgraw-us-business-data-executives-91mm-total-universe-bu-mcgraw
    Explore at:
    .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Nov 7, 2024
    Dataset authored and provided by
    McGRAW
    Area covered
    United States of America
    Description

    McGRAW’s US Business Executives database offers one of the most accurate and comprehensive B2B datasets available today, covering over 91 million business executives with a 95%+ coverage guarantee. Designed for businesses that require the highest quality data, our database provides detailed, validated, and regularly updated information on decision-makers and influencers across the globe.

    Our data purchase options are flexible to fit the needs of various campaigns, whether for direct marketing, lead generation, or advanced market analysis.. With McGRAW, clients gain access to an exhaustive array of fields for each executive profile:

    • Core Contact Details: First name, last name, job title, business name, business address, phone number, and business email.
    • Company Insights: URL, company sales volume, employee size, SIC/NAICS codes, and industry descriptions.
    • Additional Data: Fax numbers, industry-specific descriptors, and company domains.

    Why McGRAW’s Data Stands Out

    Many B2B data providers rely solely on vendor-contributed files, often bypassing the rigorous validation and verification essential in today’s fast-paced, data-driven environment. This leaves companies dependent on data that may lack accuracy and relevancy. At McGRAW, we’ve taken a different approach. We own and operate dedicated call centers both nearshore and offshore, allowing us to directly engage with our data prior to each delivery. This proactive touch ensures each record meets our high standards of accuracy and reliability.

    In addition, our team of social media validators, market researchers, and digital marketing specialists continuously refines our data. They actively verify and update records, staying on top of changes to maintain a fresh and relevant dataset. Each delivery undergoes additional sampling and verification checks through both internal and third-party tools such as Fresh Address, BriteVerify, and Impressionwise to guarantee optimal data quality.

    Why Choose McGRAW?

    McGRAW guarantees 95%+ accuracy across key fields, including: - Contact Information: First and last names, business name, title, address, and business email. - Business Data: Company domain, phone number, fax number, SIC code, industry description, sales volume, and employee size.

    Each record is double-checked through a combination of call center verification, social media validation, and advanced data hygiene processes. This robust approach ensures that you receive accurate, actionable insights every time.

    At McGRAW, we don’t just supply data; we ensure every record is reliable, relevant, and ready to power your business strategy. Our investment in direct data handling, coupled with continuous validation processes, makes our Global Business Executives database a leading source for businesses serious about data quality and integrity.

  19. d

    Business Data Spain | Dataset: 6.6+ Million Businesses in Spain

    • datarade.ai
    Updated Mar 6, 2025
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    InfobelPRO (2025). Business Data Spain | Dataset: 6.6+ Million Businesses in Spain [Dataset]. https://datarade.ai/data-products/business-data-spain-dataset-6-6-million-businesses-in-spain-infobelpro
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Mar 6, 2025
    Dataset authored and provided by
    InfobelPRO
    Area covered
    Spain
    Description

    Leverage high-quality B2B data with 468 enriched attributes, covering firmographics, financial stability, and industry classifications. Our AI-optimized dataset ensures accuracy through advanced deduplication and continuous updates. With 30+ years of expertise and 1,100+ trusted sources, we provide fully compliant, structured business data to power lead generation, risk assessment, CRM enrichment, market research, and more.

    Key use cases of B2B Data have helped our customers in several areas :

    1. Boost Lead Generation & Sales Outreach : Target the right businesses with precise, segmented contact lists for cold calling, email marketing, and industry-specific campaigns.
    2. Enhance CRM & Web Data for Smarter Engagement : Enrich CRM records with instant access to detailed company profiles, visitor identification, and continuous data updates.
    3. Strengthen Risk Assessment & Fraud Prevention : Evaluate supplier reliability, assess credit risk, and prevent fraud with deep firmographic and financial insights.
    4. Gain a Competitive Edge with Market Research : Analyse industry trends, benchmark competitors, and identify automation-ready sectors for strategic positioning.
    5. Optimize B2B Strategies with AI-Powered Insights : Leverage structured, compliant data to drive smarter business decisions across sales, marketing, and operations.
  20. o

    Yelp Business Reviews

    • openwebninja.com
    json
    Updated Jul 22, 2024
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    OpenWeb Ninja (2024). Yelp Business Reviews [Dataset]. https://www.openwebninja.com/api/yelp-business-data
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    jsonAvailable download formats
    Dataset updated
    Jul 22, 2024
    Dataset authored and provided by
    OpenWeb Ninja
    Area covered
    Global
    Description

    This dataset provides comprehensive business information and reviews from Yelp. It includes detailed business data, customer reviews, ratings, and search capabilities for local businesses and restaurants. Perfect for applications requiring local business intelligence and customer feedback analysis. The dataset is delivered in a JSON format via REST API.

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Click to copy link
Link copied
Close
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Statista (2025). Frequently leveraged external data sources for global enterprises 2020 [Dataset]. https://www.statista.com/statistics/1235514/worldwide-popular-external-data-sources-companies/
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Frequently leveraged external data sources for global enterprises 2020

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Dataset updated
Jul 1, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Aug 2020
Area covered
Worldwide
Description

In 2020, according to respondents surveyed, data masters typically leverage a variety of external data sources to enhance their insights. The most popular external data sources for data masters being publicly available competitor data, open data, and proprietary datasets from data aggregators, with **, **, and ** percent, respectively.

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