100+ datasets found
  1. d

    SMARTe Enrich - CRM Data audit with Real time Enrichment

    • datarade.ai
    Updated Sep 11, 2020
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    SMARTe (2020). SMARTe Enrich - CRM Data audit with Real time Enrichment [Dataset]. https://datarade.ai/data-products/smarte-datagenie
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    Dataset updated
    Sep 11, 2020
    Dataset authored and provided by
    SMARTe
    Area covered
    Australia, Indonesia, Venezuela (Bolivarian Republic of), Netherlands, New Zealand, Portugal, Argentina, Hungary, Thailand, Singapore
    Description

    SMARTe Enrich offers a comprehensive data audit to help identify potential bad data, duplicates and redundant Salesforce CRM records. Our intuitive dashboards can provide a visual view of the complete CRM data health analysis. The audit is done at CRM record level and also at field level. Besides, the Real Time Enrichment is completely automated and happens proactively within the Salesforce CRM experience. The product also offers Persona based enrichment that can boost marketing campaigns.

  2. B2B Contact Data Enrichment API | Enhance Your Sales and Marketing Efforts |...

    • data.success.ai
    Updated Oct 27, 2021
    + more versions
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    Success.ai (2021). B2B Contact Data Enrichment API | Enhance Your Sales and Marketing Efforts | Verified Records from 700M+ Profiles | Best Price Guarantee [Dataset]. https://data.success.ai/products/b2b-contact-data-enrichment-api-enhance-your-sales-and-mark-success-ai
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    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    Benin, Bahamas, Uganda, Saudi Arabia, Austria, Türkiye, British, U.S., Czechia, Tajikistan
    Description

    Enhance your B2B lists with Success.ai’s B2B Contact Enrichment API. Get real-time updates on job titles, emails, phone numbers, and LinkedIn URLs. Filter data easily and target the right prospects—best price guaranteed!

  3. Data from: Evaluating Elements of Web-based Data Enrichment for...

    • zenodo.org
    • data.niaid.nih.gov
    zip
    Updated Sep 21, 2021
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    Timo Breuer; Melanie Pest; Philipp Schaer; Timo Breuer; Melanie Pest; Philipp Schaer (2021). Evaluating Elements of Web-based Data Enrichment for Pseudo-Relevance Feedback Retrieval [Dataset]. http://doi.org/10.5281/zenodo.4105885
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    zipAvailable download formats
    Dataset updated
    Sep 21, 2021
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Timo Breuer; Melanie Pest; Philipp Schaer; Timo Breuer; Melanie Pest; Philipp Schaer
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This data archive accompanies our work, in which we analyze a pseudo-relevance retrieval method that is based on the results of web search engines. By enriching topics with text data from web search engine result pages and linked contents, we train topic-specific and cost-efficient classifiers that can be used to search test collections for relevant documents. Building up on attempts that were initially made at TREC Common Core 2018 by Grossman and Cormack, we address the questions of system performance over time considering different search engines, queries and test collections. Our experimental results show how and to which extent the considered components affect the retrieval performance. Overall, the analyzed method is robust in terms of average retrieval performance and a promising way to use web content for the data enrichment of relevance feedback methods.

  4. f

    People Data | Global |Reach - 900 Million Records for Comprehensive Consumer...

    • factori.ai
    Updated Dec 24, 2024
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    (2024). People Data | Global |Reach - 900 Million Records for Comprehensive Consumer Insights & Data Enrichment [Dataset]. https://www.factori.ai/datasets/people-data/
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    Dataset updated
    Dec 24, 2024
    License

    https://www.factori.ai/privacy-policyhttps://www.factori.ai/privacy-policy

    Area covered
    Global
    Description

    Our proprietary People Data is a mobile user dataset that connects anonymous IDs to a wide range of attributes, including demographics, device ownership, audience segments, key locations, and more. This rich dataset allows our partner brands to gain a comprehensive view of consumers based on their personas, enabling them to derive actionable insights swiftly.

    People Data Graph

    • Record Count: 900 Million
    • Capturing Frequency: Once per Event
    • Delivering Frequency: Once per Month
    • Updated: Monthly

    People Data

    Reach Our extensive data reach covers a variety of categories, encompassing user demographics, Mobile Advertising IDs (MAID), device details, locations, affluence, interests, traveled countries, and more. Data Export Methodology We dynamically collect and provide the most updated data and insights through the best-suited method at appropriate intervals, whether daily, weekly, monthly, or quarterly.

    Business Needs

    Our People Data caters to various business needs, offering valuable insights for consumer analysis, data enrichment, sales forecasting, and retail analytics, empowering brands to make informed decisions and optimize their strategies.

  5. Enrichment technology us inc USA Import & Buyer Data

    • seair.co.in
    + more versions
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    Seair Exim, Enrichment technology us inc USA Import & Buyer Data [Dataset]. https://www.seair.co.in
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  6. d

    Coresignal | Private Company Data | Company Data | AI-Enriched Datasets |...

    • datarade.ai
    .json, .csv
    Updated Aug 13, 2023
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    Coresignal (2023). Coresignal | Private Company Data | Company Data | AI-Enriched Datasets | Global / 35M+ Records / Updated Weekly [Dataset]. https://datarade.ai/data-products/coresignal-private-company-data-company-data-ai-enriche-coresignal
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    .json, .csvAvailable download formats
    Dataset updated
    Aug 13, 2023
    Dataset authored and provided by
    Coresignal
    Area covered
    Kyrgyzstan, Jamaica, Argentina, Togo, Senegal, Benin, Grenada, Pitcairn, Kiribati, Bhutan
    Description

    This Private Company Data dataset is a refined version of our company datasets, consisting of 35M+ data records.

    It’s an excellent data solution for companies with limited data engineering capabilities and those who want to reduce their time to value. You get filtered, cleaned, unified, and standardized B2B private company data. This data is also enriched by leveraging a carefully instructed large language model (LLM).

    AI-powered data enrichment offers more accurate information in key data fields, such as company descriptions. It also produces over 20 additional data points that are very valuable to B2B businesses. Enhancing and highlighting the most important information in web data contributes to quicker time to value, making data processing much faster and easier.

    For your convenience, you can choose from multiple data formats (Parquet, JSON, JSONL, or CSV) and select suitable delivery frequency (quarterly, monthly, or weekly).

    Coresignal is a leading private company data provider in the web data sphere with an extensive focus on firmographic data and public employee profiles. More than 3B data records in different categories enable companies to build data-driven products and generate actionable insights. Coresignal is exceptional in terms of data freshness, with 890M+ records updated monthly for unprecedented accuracy and relevance.

  7. Global Email Address Data | 170M Records with Email Address + Phone Data |...

    • datarade.ai
    Updated Jan 1, 2022
    + more versions
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    Success.ai (2022). Global Email Address Data | 170M Records with Email Address + Phone Data | Unbeatable Price [Dataset]. https://datarade.ai/data-products/global-email-address-data-170m-records-with-email-address-success-ai
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 1, 2022
    Dataset provided by
    Area covered
    Zambia, Brunei Darussalam, Costa Rica, Iceland, Jamaica, Jersey, Denmark, Fiji, Hong Kong, Mexico
    Description

    Elevate your marketing and sales strategies with our Global Email Address Data, providing unmatched access to a vast collection of email addresses, phone numbers, and comprehensive B2B and B2C contact information. Our data solutions empower businesses to enrich their outreach efforts, enabling effective online marketing and competitive intelligence.

    Designed to enhance your data-driven strategies, our offerings include critical insights such as email address data, phone number data, B2B contact data, and B2C contact data. With our extensive resources, you can build strong connections and effectively engage your target audiences.

    Key Features:

    Targeted Email Address Data: Access a diverse range of email information essential for executing tailored online marketing campaigns and connecting with key business stakeholders.

    Comprehensive Phone Number Data: Utilize our extensive phone number database to enhance telemarketing efforts, improve customer interactions, and facilitate direct outreach.

    Dynamic B2B and B2C Contact Data: Our detailed contact data helps refine your messaging strategy, ensuring it reaches the right audience—from C-suite executives to critical consumer segments.

    Exclusive CEO Contact Information: Gain direct access to verified CEO contact data, ideal for high-level networking and forging strategic partnerships.

    Strategic Use Cases Supported by Our Data:

    Online Marketing: Leverage our email and phone data to drive precise online marketing initiatives, enhancing customer engagement and lead generation efforts.

    Data Enrichment: Improve database accuracy with our comprehensive data enrichment services, providing a solid foundation for well-informed business decisions.

    B2B Data Enrichment: Tailor your B2B databases effectively, enhancing the quality of business contact data to boost outreach initiatives and operational workflows.

    Sales Data Enrichment: Amplify your sales strategies with enriched contact data that drives higher conversion rates and overall sales success.

    Competitive Intelligence: Gain insights into market trends, competitor activities, and industry shifts using our detailed contact data, giving you an edge in your field.

    Why Choose Success.ai?

    Unmatched Data Precision: Our commitment to delivering a 99% accuracy rate ensures that you receive reliable data to support your strategic objectives.

    Global Reach with Tailored Solutions: Our database encompasses global markets while being finely tuned to cater to local business needs, providing pertinent information relevant to your operations.

    Affordable Pricing with Best Value: We guarantee the most cost-effective data solutions available, ensuring maximum value without compromising quality.

    Ethical Data Practices: Commitment to compliance with international data privacy standards ensures responsible and legally sound utilization of our data.

    Get Started with Success.ai Today: Partner with Success.ai to harness the full potential of high-quality contact data. Whether your goal is to enhance online marketing efforts, enrich sales databases, or gain strategic competitive insights, our comprehensive data solutions can propel your business forward.

    Contact us today to discover how we can customize our offerings to meet your specific business needs!

    We'll beat any price on the market!

  8. f

    Table2_Identifying subgroups of patients with type 2 diabetes based on...

    • frontiersin.figshare.com
    xlsx
    Updated Jun 29, 2023
    + more versions
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    Shuai Zhao; Hengfei Li; Xuan Jing; Xuebin Zhang; Ronghua Li; Yinghao Li; Chenguang Liu; Jie Chen; Guoxia Li; Wenfei Zheng; Qian Li; Xue Wang; Letian Wang; Yuanyuan Sun; Yunsheng Xu; Shihua Wang (2023). Table2_Identifying subgroups of patients with type 2 diabetes based on real-world traditional chinese medicine electronic medical records.XLSX [Dataset]. http://doi.org/10.3389/fphar.2023.1210667.s002
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    xlsxAvailable download formats
    Dataset updated
    Jun 29, 2023
    Dataset provided by
    Frontiers
    Authors
    Shuai Zhao; Hengfei Li; Xuan Jing; Xuebin Zhang; Ronghua Li; Yinghao Li; Chenguang Liu; Jie Chen; Guoxia Li; Wenfei Zheng; Qian Li; Xue Wang; Letian Wang; Yuanyuan Sun; Yunsheng Xu; Shihua Wang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Introduction: Type 2 diabetes (T2D) is a multifactorial complex chronic disease with a high prevalence worldwide, and Type 2 diabetes patients with different comorbidities often present multiple phenotypes in the clinic. Thus, there is a pressing need to improve understanding of the complexity of the clinical Type 2 diabetes population to help identify more accurate disease subtypes for personalized treatment.Methods: Here, utilizing the traditional Chinese medicine (TCM) clinical electronic medical records (EMRs) of 2137 Type 2 diabetes inpatients, we followed a heterogeneous medical record network (HEMnet) framework to construct heterogeneous medical record networks by integrating the clinical features from the electronic medical records, molecular interaction networks and domain knowledge.Results: Of the 2137 Type 2 diabetes patients, 1347 were male (63.03%), and 790 were female (36.97%). Using the HEMnet method, we obtained eight non-overlapping patient subgroups. For example, in H3, Poria, Astragali Radix, Glycyrrhizae Radix et Rhizoma, Cinnamomi Ramulus, and Liriopes Radix were identified as significant botanical drugs. Cardiovascular diseases (CVDs) were found to be significant comorbidities. Furthermore, enrichment analysis showed that there were six overlapping pathways and eight overlapping Gene Ontology terms among the herbs, comorbidities, and Type 2 diabetes in H3.Discussion: Our results demonstrate that identification of the Type 2 diabetes subgroup based on the HEMnet method can provide important guidance for the clinical use of herbal prescriptions and that this method can be used for other complex diseases.

  9. Success.ai | Global Email Address Data – 170M Records with Phone, B2B & B2C...

    • data.success.ai
    Updated Nov 20, 2024
    + more versions
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    Success.ai (2024). Success.ai | Global Email Address Data – 170M Records with Phone, B2B & B2C Details, at Unbeatable Prices [Dataset]. https://data.success.ai/products/success-ai-global-email-address-data-170m-records-with-ph-success-ai
    Explore at:
    Dataset updated
    Nov 20, 2024
    Dataset provided by
    Area covered
    Federated States of, Belgium, Barbados, Australia, Algeria, Guinea-Bissau, United States, San Marino, Kiribati, New Zealand
    Description

    Unlock advanced online marketing and competitive intelligence with Success.ai’s detailed email address data and phone data, featuring essential B2B and B2C contact details and exclusive CEO contacts. Our data ensures superior data enrichment for robust sales strategies, at Unbeatable Prices!

  10. a

    Identity Data | Enrichment | Appends | Enhancements | B2B and B2C

    • data.allforce.io
    Updated Jun 19, 2025
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    Allforce (2025). Identity Data | Enrichment | Appends | Enhancements | B2B and B2C [Dataset]. https://data.allforce.io/?page=2
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    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Allforce
    Area covered
    United States
    Description

    We turn your incomplete contact records into complete customer profiles by filling in the missing pieces. Whether you need emails, phone numbers, company details, or deeper insights, we validate what you have and add what you don't.

  11. COREQ checklist: Focus group for 'Streamlining Concept Mapping for Clinical...

    • zenodo.org
    • data.niaid.nih.gov
    Updated Jul 6, 2024
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    Michele Zoch; Michele Zoch; Ines Reinecke; Ines Reinecke (2024). COREQ checklist: Focus group for 'Streamlining Concept Mapping for Clinical Data Enrichment: A Process-focused approach in medical Data Warehouses' [Dataset]. http://doi.org/10.5281/zenodo.10827367
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Michele Zoch; Michele Zoch; Ines Reinecke; Ines Reinecke
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Presentation of the 32 items on the consolidated criteria for reporting qualitative research (COREQ) checklist. The information is used for the report on a focus group that was conducted as part of the preparation of a publication. The title of the article is (as of submission on 18.03.2024): 'Streamlining Concept Mapping for Clinical Data Enrichment: A Process-focused approach in Medical Data Warehouses'.

  12. Z

    Example Datasets for Functional Enrichment Analysis

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jan 24, 2020
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    Daniel Sobral (2020). Example Datasets for Functional Enrichment Analysis [Dataset]. https://data.niaid.nih.gov/resources?id=ZENODO_1255037
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    Dataset updated
    Jan 24, 2020
    Dataset authored and provided by
    Daniel Sobral
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset contains a set of example data for a functional enrichment tutorial.

  13. d

    Molecular Signatures Database

    • dknet.org
    • scicrunch.org
    • +2more
    Updated Jan 29, 2022
    + more versions
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    (2022). Molecular Signatures Database [Dataset]. http://identifiers.org/RRID:SCR_016863
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    Dataset updated
    Jan 29, 2022
    Description

    Collection of annotated gene sets for use with Gene Set Enrichment Analysis (GSEA) software.

  14. Data from: DOIBoost Dataset Dump

    • zenodo.org
    • data.niaid.nih.gov
    • +1more
    bin, tar, zip
    Updated Jan 24, 2020
    + more versions
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    Sandro La Bruzzo; Sandro La Bruzzo; Paolo Manghi; Paolo Manghi; Andrea Mannocci; Andrea Mannocci (2020). DOIBoost Dataset Dump [Dataset]. http://doi.org/10.5281/zenodo.3559699
    Explore at:
    bin, zip, tarAvailable download formats
    Dataset updated
    Jan 24, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Sandro La Bruzzo; Sandro La Bruzzo; Paolo Manghi; Paolo Manghi; Andrea Mannocci; Andrea Mannocci
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Research in information science and scholarly communication strongly relies on the availability of openly accessible datasets of metadata and, where possible, their relative payloads. To this end, CrossRef plays a pivotal role by providing free access to its entire metadata collection, and allowing other initiatives to link and enrich its information. Therefore, a number of key pieces of information result scattered across diverse datasets and resources freely available online. As a result of this fragmentation, researchers in this domain end up struggling with daily integration problems producing a plethora of ad-hoc datasets, therefore incurring in a waste of time, resources, and infringing open science best practices.

    The latest DOIBoost release is a metadata collection that enriches CrossRef (October 2019 release: 108,048,986 publication records) with inputs from Microsoft Academic Graph (October 2019 release: 76,171,072 publication records), ORCID (October 2019 release: 12,642,131 publication records), and Unpaywall (August 2019 release: 26,589,869 publication records) for the purpose of supporting high-quality and robust research experiments. As a result of DOIBoost, CrossRef records have been "boosted" as follows:

    • 47,254,618 CrossRef records have been enriched with an abstract from MAG;
    • 33,279,428 CrossRef records have been enriched with an affiliation from MAG and/or ORCID;
    • 509,588 CrossRef records have been enriched with an ORCID identifier from ORCID.

    This entry consists of two files: doiboost_dump-2019-11-27.tar (contains a set of partXYZ.gz files, each one containing the JSON files relative to the enriched CrossRef records), a schemaAndSample.zip, and termsOfUse.doc (contains details on the terms of use of DOIBoost).

    Note that this records comes with two relationships to other results of this experiment:

    1. link to the data paper: for more information on how the dataset is (and can be) generated;
    2. link to the software: to repeat the experiment
  15. Data from: Cage enrichment and mouse behaviour

    • zenodo.org
    xls
    Updated Mar 25, 2024
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    Hanno Wuerbel; Hanno Wuerbel (2024). Cage enrichment and mouse behaviour [Dataset]. http://doi.org/10.5281/zenodo.10869449
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    xlsAvailable download formats
    Dataset updated
    Mar 25, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Hanno Wuerbel; Hanno Wuerbel
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    Data for: Wolfer, D. P., Litvin, O., Morf, S., Nitsch, R. M., Lipp, H. P., & Würbel, H. (2004). Cage enrichment and mouse behaviour. Nature, 432(7019), 821-822.

    Data are presented as xls file. The first sheet contains variable definitions, the second sheet the readouts from three tests. The tests are described in detail in the publication and the electronic supplementary material.

  16. Data from: The influence of complex and threatening environments in early...

    • zenodo.org
    • data.niaid.nih.gov
    • +1more
    Updated May 29, 2022
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    Cairsty DePasquale; Thomas Neuberger; Amy M. Hirrlinger; Victoria A. Braithwaite; Cairsty DePasquale; Thomas Neuberger; Amy M. Hirrlinger; Victoria A. Braithwaite (2022). Data from: The influence of complex and threatening environments in early life on brain size and behaviour [Dataset]. http://doi.org/10.5061/dryad.66216
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    Dataset updated
    May 29, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Cairsty DePasquale; Thomas Neuberger; Amy M. Hirrlinger; Victoria A. Braithwaite; Cairsty DePasquale; Thomas Neuberger; Amy M. Hirrlinger; Victoria A. Braithwaite
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The ways in which challenging environments during development shape the brain and behaviour are increasingly being addressed. To date, studies typically consider only single variables, but the real world is more complex. Many factors simultaneously affect the brain and behaviour, and whether these work independently or interact remains untested. To address this, zebrafish (Danio rerio) were reared in a two-by-two design in housing that varied in structural complexity and / or exposure to a stressor. Fish experiencing both complexity (enrichment objects changed over time) and mild stress (daily net chasing) exhibited enhanced learning and were less anxious when tested as juveniles (between 77-90 days). Adults tested aged 1 year, were also less anxious even though fish were kept in standard housing after 3 months of age (i.e. no chasing or enrichment). Volumetric measures of the brain using magnetic resonance imaging (MRI) showed that complexity alone generated fish with a larger brain, but this increase in size was not seen in fish that experienced both complexity and chasing, or chasing alone. The results highlight the importance of looking at multiple variables simultaneously, and reveal differential effects of complexity and stressful experiences during development of the brain and behaviour.

  17. Success.ai | LinkedIn Full Dataset | Enrichment API – 700M Public Profiles &...

    • data.success.ai
    Updated Jan 1, 2022
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    Success.ai (2022). Success.ai | LinkedIn Full Dataset | Enrichment API – 700M Public Profiles & 70M Companies – Best Price and Quality Guarantee [Dataset]. https://data.success.ai/products/success-ai-linkedin-full-dataset-enrichment-api-700m-pu-success-ai
    Explore at:
    Dataset updated
    Jan 1, 2022
    Dataset provided by
    Area covered
    Samoa, Kenya, Burkina Faso, Switzerland, Norfolk Island, Ireland, Iceland, Macao, Burundi, Papua New Guinea
    Description

    Access 700M+ LinkedIn public profiles and 70M+ company records with Success.ai's LinkedIn Data API Solutions. Ideal for recruitment, lead generation, and ABM, our GDPR-compliant datasets are supported by our tailored dataset service and API access. We'll beat any price - Guaranteed.

  18. 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.

  19. Success.ai | LinkedIn Company Data | 70M+ Company Profiles & 700M+...

    • data.success.ai
    Updated Jan 1, 2022
    + more versions
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    Success.ai (2022). Success.ai | LinkedIn Company Data | 70M+ Company Profiles & 700M+ Professional Profiles for Enhanced B2B Insights, Best Price Guarantee [Dataset]. https://data.success.ai/products/success-ai-linkedin-company-data-70m-company-profiles-success-ai
    Explore at:
    Dataset updated
    Jan 1, 2022
    Dataset provided by
    Area covered
    Ethiopia, Guatemala, North Korea, Cabo Verde, Libya, Mexico, Comoros, Panama, Cook Islands, Estonia
    Description

    Leverage Success.ai’s LinkedIn Company Data to tap into 70M+ company records 700M+ Professional Profiles for superior email marketing, data enrichment, and B2B lead generation. Guaranteed best price and GDPR-compliant data.

  20. d

    Data from: A target enrichment method for gathering phylogenetic information...

    • datadryad.org
    • data.niaid.nih.gov
    • +1more
    zip
    Updated Jan 2, 2015
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    Jennifer R. Mandel; Rebecca B. Dikow; Vicki A. Funk; Rishi R. Masalia; S. Evan Staton; Alex Kozik; Richard W. Michelmore; Loren H. Rieseberg; John M. Burke (2015). A target enrichment method for gathering phylogenetic information from hundreds of loci: an example from the Compositae [Dataset]. http://doi.org/10.5061/dryad.gr93t
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    zipAvailable download formats
    Dataset updated
    Jan 2, 2015
    Dataset provided by
    Dryad
    Authors
    Jennifer R. Mandel; Rebecca B. Dikow; Vicki A. Funk; Rishi R. Masalia; S. Evan Staton; Alex Kozik; Richard W. Michelmore; Loren H. Rieseberg; John M. Burke
    Time period covered
    2015
    Description

    COS alignment filesAlignments from all COS lociCOS_alignment_files_NEW.zipCOS_sequence_length&number_of_sequencesList of COS sequences with alignment length and number of sequences in each alignment.tree file in newick format for the concatenation of all COS loci, as run in Garli763_loci_tree_newickConcatenation_of_all_763_ COS_alignmentsConcatenated alignment file.Concatenation_of_all_763_COS_alignments_NEW.fasta

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SMARTe (2020). SMARTe Enrich - CRM Data audit with Real time Enrichment [Dataset]. https://datarade.ai/data-products/smarte-datagenie

SMARTe Enrich - CRM Data audit with Real time Enrichment

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Dataset updated
Sep 11, 2020
Dataset authored and provided by
SMARTe
Area covered
Australia, Indonesia, Venezuela (Bolivarian Republic of), Netherlands, New Zealand, Portugal, Argentina, Hungary, Thailand, Singapore
Description

SMARTe Enrich offers a comprehensive data audit to help identify potential bad data, duplicates and redundant Salesforce CRM records. Our intuitive dashboards can provide a visual view of the complete CRM data health analysis. The audit is done at CRM record level and also at field level. Besides, the Real Time Enrichment is completely automated and happens proactively within the Salesforce CRM experience. The product also offers Persona based enrichment that can boost marketing campaigns.

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