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.

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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.

Dataset available only to University of Arizona affiliates. To obtain access, you must log in to ReDATA with your NetID. Data is for research use by each individual downloader only. Sharing and/or redistribution of any portion of this dataset is prohibited.The ReferenceUSA datasets from Data Axle (formerly Infogroup) contain establishment-level data about US businesses in annual snapshots from 1997-2021 and can help users create marketing plans and conduct competitive analyses. Each year has 53-94 indicators, with documentation for layouts found in Documentation.zip. Codebooks for 2015, 2017, and 2019 are missing, but all file layouts for 2014-2021 are identical.The University of Arizona University Libraries also subscribe to Data Axle Reference Solutions which provides this data in a searchable, online database with historical data available going back to 2003.NOTE: The uncompressed datasets are very large.Detailed file descriptions and MD5 hash values for each file can be found in the README.txt file.For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu

Provides information on Business Intelligence (BI) projects in the Office of Systems.

Randazzo Company is a leading provider of international market research and data solutions. With a focus on delivering accurate and reliable insights, Randazzo has established itself as a trusted source of information for businesses and organizations. The company's vast repository of data includes market trends, consumer behavior, and industry analysis, making it an essential tool for companies looking to stay ahead in their respective markets.

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CompanyData.com powered by BoldData is your gateway to verified, high-quality business data from around the world. We specialize in delivering structured company information sourced directly from official trade registers, giving you reliable data to fuel smarter business decisions.

Our USA company database includes over 69,853,300 verified business records, making it one of the most comprehensive sources of company information available. Each record contains detailed firmographics such as industry classification, company size and revenue, corporate hierarchies and verified contact details including decision-maker names, email addresses, direct dials and mobile numbers.

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Stores physical and logical information about relational databases and record structures to assist in data identification and management.

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, employee data / 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.

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.

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.

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

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In accordance with the Governmental Ethics Ordinance, the Department of Innovation & Technology provides the following list of current and former contractors who, during the preceding four reporting years, received from the City of Chicago payments totaling $10,000 or more in any 12 consecutive months period. The data source for this list is the Financial Management and Purchasing Systems (FMPS).

Citation metrics are widely used and misused. We have created a publicly available database of top-cited scientists that provides standardized information on citations, h-index, co-authorship adjusted hm-index, citations to papers in different authorship positions and a composite indicator (c-score). Separate data are shown for career-long and, separately, for single recent year impact. Metrics with and without self-citations and ratio of citations to citing papers are given and data on retracted papers (based on Retraction Watch database) as well as citations to/from retracted papers have been added. Scientists are classified into 22 scientific fields and 174 sub-fields according to the standard Science-Metrix classification. Field- and subfield-specific percentiles are also provided for all scientists with at least 5 papers. Career-long data are updated to end-of-2024 and single recent year data pertain to citations received during calendar year 2024. The selection is based on the top 100,000 scientists by c-score (with and without self-citations) or a percentile rank of 2% or above in the sub-field. This version (7) is based on the August 1, 2025 snapshot from Scopus, updated to end of citation year 2024. This work uses Scopus data. Calculations were performed using all Scopus author profiles as of August 1, 2025. If an author is not on the list, it is simply because the composite indicator value was not high enough to appear on the list. It does not mean that the author does not do good work. PLEASE ALSO NOTE THAT THE DATABASE HAS BEEN PUBLISHED IN AN ARCHIVAL FORM AND WILL NOT BE CHANGED. The published version reflects Scopus author profiles at the time of calculation. We thus advise authors to ensure that their Scopus profiles are accurate. REQUESTS FOR CORRECIONS OF THE SCOPUS DATA (INCLUDING CORRECTIONS IN AFFILIATIONS) SHOULD NOT BE SENT TO US. They should be sent directly to Scopus, preferably by use of the Scopus to ORCID feedback wizard (https://orcid.scopusfeedback.com/) so that the correct data can be used in any future annual updates of the citation indicator databases. The c-score focuses on impact (citations) rather than productivity (number of publications) and it also incorporates information on co-authorship and author positions (single, first, last author). If you have additional questions, see attached file on FREQUENTLY ASKED QUESTIONS. Finally, we alert users that all citation metrics have limitations and their use should be tempered and judicious. For more reading, we refer to the Leiden manifesto: https://www.nature.com/articles/520429a

The data contained in this repository relates to London's Creative Enterprise Zones. It can be used to review job and business data for each CEZ, as well as several other creative areas across London. About the data Sectors The data relates specifically to creative sector SIC codes (standard industrial classification) as defined by the Department for Digital, Culture, Media and Sport (DCMS). The list of SIC codes is provided in the repository below (activity_subsector_sic.csv). Sources Job counts are from the ONS Business Register & Employment Survey. Job counts are estimated through a survey of a sample businesses throughout the country. The survey takes place annually in September. Job data is available from 2015 to 2023. The data only counts employees registered for PAYE; it generally does not include sole traders/freelancers. Business counts are from the ONS UK Business Counts. The count is based on active businesses and takes place annually in March. Business data is available from 2015 to 2024. Freelancers/sole traders may be included in these counts if they are registered with Companies House (e.g. as a limited company) at an address within the relevant creative area. Note that because of the difference in survey months, there may be a lag between job and business trends. For example, job counts taken in 2020 (September) will likely be lower than previous years because they will be affected by Covid-19 related job losses, whereas business counts taken in 2020 (March) will likely not show major fluctuation from previous years because the Covid-19 related impacts won't yet have registered. Turnover and births & deaths information comes from ONS Interdepartmental Business Register (IDBR). Information is available from 2015 to 2023. Because of data suppression, it is only available down to local authority level. The data has been scaled to estimate the amount of turnover, births, and deaths per creative area. For example, if a borough has 500 creative businesses producing 50m turnover, we would average 100k turnover per business. If the creative area in that borough has 100 creative businesses, 100 x 100,000 in turnover = 10m throughout the creative area. For CEZ across two or more authorities, we have used the sum of turnover/births/deaths in the composite authorities as the basis for calculation. Note that subsector or activity counts for births/deaths may not add up to the figures in the total births/deaths data due to rounding. As a result, data on turnover, births & deaths should be treated as broad estimates only. Geographies Job counts and business counts relate to the best-fit middle super output areas (MSOAs) for the boundary of each Creative Enterprise Zone. The MSOAs have been agreed with CEZ managers. Turnover and births & deaths have been scaled from local authority-level data to the MSOAs above. The list of MSOAs is provided in the repository below (cez_msoas.csv). Guide to spreadsheets The spreadsheets below provide various configurations of the job and business counts, turnover, and births & deaths data. Breakdowns are provided for area and aggregate data: Area data relates to individual creative areas (i.e. individual Creative Enterprise Zones and non-CEZ comparison areas) Aggregate data relates to collections of creative areas (e.g. all CEZ areas, all comparator areas) For both area and aggregate data, the following configurations are provided per year (listed from most general to most granular): Headline data Activities (i.e. consumption or production) Subsectors (e.g. architecture, photography) Activities x subsectors (e.g. consumption - screen and digital, production - screen and digital) Specific subsectors by 5-digit SIC code (job and business counts only) Guide to Creative Enterprise Zones data explorer The data has been built into an interactive explorer for quick visualisation and analysis, which is available here. The explorer takes around five seconds to load initially and works best on a laptop or desktop (not mobile). Tips for using the explorer:

An Analysis of Engineering-as-Marketing Tools

Strategies for Expanding Business Reach

By Ian Greenleigh [source]

About this dataset

The engineering-as-marketing tools available today allow startups to maximize and take advantage of the engineering talents they possess. By creating useful tools such as calculators, widgets and microsites, businesses can get in front of potential customers and lead them to their products or services.

This dataset provides a comprehensive list of companies who are using engineering as a marketing strategy and the respective tools these companies have created for it. For each company you get information about their name, product/service, tool name, what the tool does and a URL for further information about it. Additionally there is an extra notes field providing more details about each company’s market habit or any other additional facts that could be relevant in understanding better the use cases these companies are leading with this new way of doing marketing through engineering driven strategies.

With this data you will be able to take a closer look at how effectively this strategy is working while being able to compare different approaches taken inside each industry vertical in order to maximize conversions among leads generated by all these amazing pieces work made possible by software engineers everywhere devoted every day making our lives easier constantly!

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How to use the dataset

Analyzing this data allows users to gain insights into how successful companies are using engineering-as-marketing techniques to generate leads and expand their customer base. It also provides a valuable resource for other organizations wanting to learn more about how other organizations have achieved success with such practices.

This dataset can be used in many ways such as:

• Analyzing different trends in which engineering-as-marketing techniques are being used across multiple industries
• Examining whether certain techniques lead to higher lead generation or increased customer base

• Comparing effectiveness between companies using different types of tools etc.

  To get started with this dataset, simply load it up into some kind of data analysis software package that supports csv file processing capabilities such as Tableau or R Studio. Then define each column appropriately by adding appropriate labels onto them so that they can be understood easily when looked at from a first glance perspective by yourself or other members on your team who are looking over your datasets before any analyses start happening on those files within your chosen data analysis software package . Now you should be all set up for analyzing this dataset!

Research Ideas

• Leveraging this data to understand the effectiveness of engineering-as-marketing for various companies.
• Creating a sentiment analysis of customers’ responses to engineering-as-marketing tools in order to determine which tools are most popular and successful.
• Analyzing what types of engineering-as-marketing tools have been most successful with specific customer segments, to inform future product development and marketing tactics

Acknowledgements

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

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: Engineering as Marketing.csv | Column name | Description | |:-------------------|:-------------------------------------------------------------------| | Company name | The name of the company. (String) | | What co does | A brief description of what the company does. (String) | | Tool name | The name of the engineering-as-marketing tool. (String) | | What tool does | A brief description of what the tool does. (String) | | URL | The URL of the engineering-as-marketing tool. (String) | | Notes | Additional notes about the engineering-as-marketing tool. (String) |

Acknowledgements

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

Audit Director Email List provides you with the perfect solution. If you want to connect with the top minds in the audit world. Most importantly, these lists are a crucial tool for any business aiming to reach high-level professionals. We provide a service that is, by all accounts, the highest standard globally. These are the people in charge of a company’s finances and making sure everything is running smoothly. When you send an email to a general company address, it might never get to the right person. Furthermore, we pride ourselves on the quality of our data. For this reason, we collected the list from reputable sources. So, you can be sure you’re getting a comprehensive package. In fact, we guarantee a more than 95% accuracy rate, meaning you can launch your campaigns with confidence. As a result, the goal is to get your message to the right person.

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Clinical Trial Data Repository Market Outlook

The global clinical trial data repository market size was estimated to be approximately $1.8 billion in 2023 and is projected to grow at a compound annual growth rate (CAGR) of 9.5% to reach around $4.1 billion by 2032. The primary growth factors include the increasing volume and complexity of clinical trials, rising need for efficient data management systems, and stringent regulatory requirements for data accuracy and integrity. The advent of advanced technologies such as artificial intelligence and big data analytics further drives market expansion by enhancing data processing capabilities and providing actionable insights.

The growth of the clinical trial data repository market is significantly influenced by the increasing number of clinical trials being conducted globally. With the rise in chronic diseases, the need for innovative treatments and therapies has surged, leading to an upsurge in clinical trials. This increase in clinical trials necessitates robust data management systems to handle vast amounts of data generated, thereby propelling the demand for clinical trial data repositories. Moreover, the complexity of modern clinical trials, which often involve multiple sites and diverse patient populations, further amplifies the need for sophisticated data management solutions.

Another critical driver for the market is the stringent regulatory landscape governing clinical trial data. Regulatory bodies such as the FDA, EMA, and other local authorities mandate rigorous data management standards to ensure data integrity, accuracy, and accessibility. These regulations necessitate the adoption of advanced data repository systems that can comply with regulatory requirements, thereby fueling market growth. Additionally, regulatory frameworks are becoming increasingly stringent, prompting pharmaceutical and biotechnology companies to invest in state-of-the-art data management systems to avoid compliance issues and potential financial penalties.

Technological advancements play a pivotal role in the market's growth. The integration of artificial intelligence, machine learning, and big data analytics into data repository systems enhances data processing and analysis capabilities. These technologies enable real-time data monitoring, predictive analytics, and improved decision-making, thereby improving the efficiency of clinical trials. Furthermore, the shift towards cloud-based solutions offers scalability, flexibility, and cost-effectiveness, making advanced data management systems accessible to even small and medium-sized enterprises.

Regionally, North America dominates the clinical trial data repository market owing to its robust healthcare infrastructure, high R&D investments, and presence of major pharmaceutical and biotechnology companies. Europe follows closely due to stringent regulatory standards and a strong focus on clinical research. The Asia Pacific region is expected to witness the highest growth rate during the forecast period due to increasing clinical trial activities, growing healthcare expenditure, and the rising adoption of advanced technologies. Latin America and the Middle East & Africa are also likely to experience growth, albeit at a slower pace, driven by improving healthcare systems and increasing focus on clinical research.

Component Analysis

The clinical trial data repository market is segmented by components into software and services. The software segment is anticipated to hold a significant share of the market due to the essential role software plays in data management. Advanced software solutions offer capabilities such as data storage, management, retrieval, and analysis, which are critical for effective clinical trial management. The integration of AI and machine learning algorithms into these software systems further enhances their efficiency by enabling predictive analytics and real-time monitoring, thus driving the software segment's growth.

Software solutions in clinical trial data repositories also offer interoperability, enabling seamless integration with other clinical trial management systems (CTMS) and electronic data capture (EDC) systems. This interoperability is crucial for ensuring data consistency and accuracy across different platforms, thereby enhancing overall data management. Additionally, the increasing adoption of cloud-based software solutions provides scalability, cost-effectiveness, and remote acce

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The Mergers and Acquisitions Survey presents information and data on the timing, value, number and methods of funding of Mergers and Acquisitions transactions involving UK businesses with deal values of £1 million and above.

The Mergers and Acquisitions Survey consists of three categories of investment:

• inward investment (acquisitions of UK companies by foreign companies);
• outward investment (UK companies acquisitions of foreign companies);
• domestic Mergers and Acquisitions (acquisitions of UK companies by other UK companies).
  

The sampling source for the Mergers and Acquisitions Survey was changed in January 2018; Bureau Van Dijk's Zephyr database is now used as the starting point for deal identification.

Linking to other business studies
These data contain Inter-Departmental Business Register (IDBR) reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.

Limited metadata is available about this study but further information about how the data are used, and the latest publications, are available on the ONS Mergers and Acquisitions webpages.

Latest edition information
For the second edition (August 2023), annual inward, outward and domestic 2021 data files have been added to the study. The variable list for 2021 has also been added.

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