Success.ai empowers businesses with dynamic, enterprise-grade B2B company datasets, enabling deep insights into over 28 million verified company profiles, including specialized segments like e-commerce and private companies. Ideal for those targeting diverse company types, our data supports strategic initiatives from sales to competitor analysis.

• Robust Data for Various Needs: Our data spans e-commerce company data, private company data, and comprehensive company registry and funding details, tailored to support your business across global markets.
• Enhanced Data Accuracy: Leveraging AI-validation, we ensure a 99% accuracy rate across all data points, providing reliable and actionable insights.
• Global Reach, Local Relevance: Covering everything from local startups to major global players in 195 countries, our data is meticulously curated to support both broad scope strategies and niche market penetrations.
• Strategic Empowerment: Use our datasets for detailed company data enrichment, sales data enhancement, and competitive intelligence, facilitating informed decision-making and strategic planning.

Key Use Cases Enhanced by Success.ai:

• Company Data Enrichment: Improve your database quality by integrating comprehensive company details, enhancing accuracy and utility.
• Sales Data Enrichment: Equip your sales teams with enriched data that enhances targeting precision and conversion rates.
• B2B Data Enrichment: Tailor your B2B strategy with enhanced data, optimizing your outreach and business relationships.
• Competitor Analysis & Competitive Intelligence: Gain an edge with detailed insights into funding patterns, growth metrics, and strategic directions of competitors.

Why Choose Success.ai?

• Best Price Guarantee: We are committed to providing the most cost-effective solutions, ensuring you get unparalleled value.
• Customization at Scale: Whether you need data for a few hundred or millions of companies, our solutions are customizable to meet your specific requirements.
• Real-Time Updates: Stay ahead of market changes with data that is continuously updated, keeping you informed with the latest information.
• Ethical Compliance Guaranteed: Our data practices are fully compliant with GDPR and other international standards, ensuring responsible use of information.

Get Started with Success.ai Today: Partner with us to harness the power of detailed and expansive company data. Whether for enriching your sales processes, conducting in-depth competitor analysis, or enhancing your overall data strategy, Success.ai provides the tools and insights necessary to propel your business to new heights.

Contact us to explore how our tailored data solutions can transform your business operations and strategic initiatives.

Remember, with Success.ai, no one beats us on price. Period.

Envestnet®| Yodlee®'s Consumer Spending Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.

Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

3. Market Data: Analytics B2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis.

Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.

Success.ai offers a powerful platform for accessing extensive EU company data, designed to meet the dynamic marketing and advertising needs across diverse industries. This specialized dataset includes detailed profiles of over 28 million companies, from burgeoning startups to established private firms, tailored to support precise data enrichment and targeted marketing.

Enrichment API Capabilities:

• Seamless Data Integration: Utilize our enrichment APIs to integrate and update your systems with real-time data, enhancing data accuracy and utility.
• Custom API Solutions: Tailor API services to your specific needs, ensuring you receive the most relevant data for your business initiatives.

Key Benefits:

• Diverse Data Collection: Our comprehensive database covers a broad spectrum of EU company data, offering rich insights for varied marketing strategies.
• Tailored for Marketing Excellence: Maximize engagement and ROI in your email marketing, B2B marketing, and advertising campaigns with high-quality, targeted data.
• Global Reach with Local Insights: Our data spans across the EU, providing detailed insights tailored to both global strategies and localized campaigns.
• Actionable Insights for Strategic Marketing: Refine your marketing tactics with precise data, reaching the right audience with the right message.

Key Use Cases Leveraged by Success.ai:

• Data Enrichment: Enhance your database quality by integrating detailed EU company data, ensuring accuracy and relevance in your marketing efforts.
• Email Marketing: Utilize refined data to craft personalized email campaigns that resonate with your target audience, driving better engagement and conversions.
• B2B Marketing: Access detailed EU company profiles to design bespoke B2B marketing strategies that reach decision-makers effectively.
• Advertising: Leverage precise company insights to optimize ad targeting, maximizing your advertising spend and improving campaign performance.
• Comprehensive Marketing Support: Utilize our data to support a wide range of marketing activities, from lead generation to brand awareness campaigns.

Why Choose Success.ai?

• Best Price & Quality Guarantee: We ensure you receive the highest value for your data investment, beating any competitor’s pricing.
• Advanced Validation Techniques: Our datasets are verified through sophisticated AI algorithms, ensuring a 99% accuracy rate.
• Customized Data Solutions: Receive datasets tailored to your specific needs, from broad market trends to niche market data.
• Compliance and Integrity: All our data practices adhere to GDPR and other international regulations, ensuring ethical usage and peace of mind.

Get Started with Success.ai Today: Let Success.ai transform your marketing and advertising strategies with our comprehensive and reliable EU company data. Contact us to discover how our tailored solutions can help you achieve your business goals and maintain a competitive edge.

And no one beats us on price. Period.

Our identity dataset allows businesses to submit their customer IDs, which our platform matches to identities across various platforms and devices. This process opens up new communication channels by using multiple data points to determine or probabilistically match users to their corresponding identities.

Identity Data Reach

Our dataset links device data to hashed email data from first-party data owners. Leveraging our identity graph, we connect IP addresses, device IDs, and other platform identities, enabling more comprehensive communication channels.

• Record Count: 500 Million+
• Updated: Monthly
• Historical Data: Past 6 Months

Data Export Methodology

We dynamically collect and update data, providing the latest insights through Data Clean Rooms. This method ensures privacy compliance while enriching your data according to your specific requirements.

Use Cases

Our identity dataset is crucial for identity resolution and data enrichment, empowering businesses to enhance their customer data and expand their reach across multiple platforms and devices.

Our consumer data is meticulously gathered and aggregated from surveys, digital services, and public sources, ensuring the collection of fresh and reliable data points through powerful profiling algorithms. Our comprehensive data enrichment solution spans a variety of datasets, enabling you to address gaps in customer data, gain deeper insights into your customers, and enhance client experiences.

Data Categories and Attributes:

• Geography: City, State, ZIP, County, CBSA, Census Tract, etc.
• Demographics: Gender, Age Group, Marital Status, Language, etc.
• Financial: Income Range, Credit Rating Range, Credit Type, Net Worth Range, etc.
• Persona: Consumer Type, Communication Preferences, Family Type, etc.
• Interests: Content, Brands, Shopping, Hobbies, Lifestyle, etc.
• Household: Number of Children, Number of Adults, IP Address, etc.
• Behaviors: Brand Affinity, App Usage, Web Browsing, etc.
• Firmographics: Industry, Company, Occupation, Revenue, etc.
• Retail Purchase: Store, Category, Brand, SKU, Quantity, Price, etc.
• Auto: Car Make, Model, Type, Year, etc.
• Housing: Home Type, Home Value, Renter/Owner, Year Built, etc

Data Export Methodology

Our dynamic data collection ensures the most updated insights, delivered at intervals best suited to your needs (daily, weekly, or monthly).

Use Cases

Our enriched consumer data supports a 360-degree customer view, data enrichment, fraud detection, and advertising & marketing, providing valuable insights to enhance your business strategies and client interactions.

graph Digital Objects contain externally created Resource Description Framework (RDF, https://www.w3.org/RDF) graph data that are useful for Human Reference Atlas use cases. This graph curates enrichments from all public dataset graphs for the Human Reference Atlas. More information is presented in a related paper (Bueckle et al. 2025).

Bibliography:

• Bueckle, Andreas, Bruce W. Herr II Josef Hardi, Ellen M. Quardokus, Mark A. Musen, and Katy Börner. 2025. “Construction, Deployment, and Usage of the Human Reference Atlas Knowledge Graph for Linked Open Data.” bioRxiv. https://doi.org/10.1101/2024.12.22.630006.

A curated dataset of face-related beauty products from Amazon UK — ideal for e-commerce analysis, product research, and data enrichment use cases.

This dataset contains data used to assess a method designed to implement Food Consumption DataBase (FCDB) enrichment task and associated results for a given use case. This use case consists in finding in USDA values associated with nutrients vitamin C, vitamin B12 and iron when they are not known in Ciqual for a given food. This data set contains three files: (1) Automatic alignments of Ciqual foods on FoodOn foods, (2) Automatic alignments of USDA foods on FoodOn foods, (3) the list of 99 Ciqual food products for which at least one of the values associated with the 3 nutrients is not known in Ciqual and at least one similar term can be found in USDA, (4) the subset of 75 alignments Ciqual->USDA found using FoodOn as pivot ontology.

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.

Use our Glassdoor dataset to find market trends and business information on companies as well as how current and past employees perceive and rate them. You may purchase the entire dataset or a customized subset depending on your needs. Popular use cases: competitive business intelligence, location-based marketing, geotargeting, B2B data enrichment, and more. The Glassdoor companies information dataset, one of the largest jobs and recruiting sites, offers a complete company overview with reviews and FAQs that provide insights about jobs and companies. The dataset includes all major data points: Location, Founding date, Revenue range, Size,Management, Company rating, CE outlook, Reviews, and FAQ as added by employees, Rating CEO approvalm and more.

The data in this dataset were collected in the result of the survey of Latvian society (2021) aimed at identifying high-value data set for Latvia, i.e. data sets that, in the view of Latvian society, could create the value for the Latvian economy and society.
The survey is created for both individuals and businesses.
It being made public both to act as supplementary data for "Towards enrichment of the open government data: a stakeholder-centered determination of High-Value Data sets for Latvia" paper (author: Anastasija Nikiforova, University of Latvia) and in order for other researchers to use these data in their own work.

The survey was distributed among Latvian citizens and organisations. The structure of the survey is available in the supplementary file available (see Survey_HighValueDataSets.odt)

***Description of the data in this data set: structure of the survey and pre-defined answers (if any)***
1. Have you ever used open (government) data? - {(1) yes, once; (2) yes, there has been a little experience; (3) yes, continuously, (4) no, it wasn’t needed for me; (5) no, have tried but has failed}
2. How would you assess the value of open govenment data that are currently available for your personal use or your business? - 5-point Likert scale, where 1 – any to 5 – very high
3. If you ever used the open (government) data, what was the purpose of using them? - {(1) Have not had to use; (2) to identify the situation for an object or ab event (e.g. Covid-19 current state); (3) data-driven decision-making; (4) for the enrichment of my data, i.e. by supplementing them; (5) for better understanding of decisions of the government; (6) awareness of governments’ actions (increasing transparency); (7) forecasting (e.g. trendings etc.); (8) for developing data-driven solutions that use only the open data; (9) for developing data-driven solutions, using open data as a supplement to existing data; (10) for training and education purposes; (11) for entertainment; (12) other (open-ended question)
4. What category(ies) of “high value datasets” is, in you opinion, able to create added value for society or the economy? {(1)Geospatial data; (2) Earth observation and environment; (3) Meteorological; (4) Statistics; (5) Companies and company ownership; (6) Mobility}
5. To what extent do you think the current data catalogue of Latvia’s Open data portal corresponds to the needs of data users/ consumers? - 10-point Likert scale, where 1 – no data are useful, but 10 – fully correspond, i.e. all potentially valuable datasets are available
6. Which of the current data categories in Latvia’s open data portals, in you opinion, most corresponds to the “high value dataset”? - {(1)Foreign affairs; (2) business econonmy; (3) energy; (4) citizens and society; (5) education and sport; (6) culture; (7) regions and municipalities; (8) justice, internal affairs and security; (9) transports; (10) public administration; (11) health; (12) environment; (13) agriculture, food and forestry; (14) science and technologies}
7. Which of them form your TOP-3? - {(1)Foreign affairs; (2) business econonmy; (3) energy; (4) citizens and society; (5) education and sport; (6) culture; (7) regions and municipalities; (8) justice, internal affairs and security; (9) transports; (10) public administration; (11) health; (12) environment; (13) agriculture, food and forestry; (14) science and technologies}
8. How would you assess the value of the following data categories?
8.1. sensor data - 5-point Likert scale, where 1 – not needed to 5 – highly valuable
8.2. real-time data - 5-point Likert scale, where 1 – not needed to 5 – highly valuable
8.3. geospatial data - 5-point Likert scale, where 1 – not needed to 5 – highly valuable
9. What would be these datasets? I.e. what (sub)topic could these data be associated with? - open-ended question
10. Which of the data sets currently available could be valauble and useful for society and businesses? - open-ended question
11. Which of the data sets currently NOT available in Latvia’s open data portal could, in your opinion, be valauble and useful for society and businesses? - open-ended question
12. How did you define them? - {(1)Subjective opinion; (2) experience with data; (3) filtering out the most popular datasets, i.e. basing the on public opinion; (4) other (open-ended question)}
13. How high could be the value of these data sets value for you or your business? - 5-point Likert scale, where 1 – not valuable, 5 – highly valuable
14. Do you represent any company/ organization (are you working anywhere)? (if “yes”, please, fill out the survey twice, i.e. as an individual user AND a company representative) - {yes; no; I am an individual data user; other (open-ended)}
15. What industry/ sector does your company/ organization belong to? (if you do not work at the moment, please, choose the last option) - {Information and communication services; Financial and ansurance activities; Accommodation and catering services; Education; Real estate operations; Wholesale and retail trade; repair of motor vehicles and motorcycles; transport and storage; construction; water supply; waste water; waste management and recovery; electricity, gas supple, heating and air conditioning; manufacturing industry; mining and quarrying; agriculture, forestry and fisheries professional, scientific and technical services; operation of administrative and service services; public administration and defence; compulsory social insurance; health and social care; art, entertainment and recreation; activities of households as employers;; CSO/NGO; Iam not a representative of any company
16. To which category does your company/ organization belong to in terms of its size? - {small; medium; large; self-employeed; I am not a representative of any company}
17. What is the age group that you belong to? (if you are an individual user, not a company representative) - {11..15, 16..20, 21..25, 26..30, 31..35, 36..40, 41..45, 46+, “do not want to reveal”}
18. Please, indicate your education or a scientific degree that corresponds most to you? (if you are an individual user, not a company representative) - {master degree; bachelor’s degree; Dr. and/ or PhD; student (bachelor level); student (master level); doctoral candidate; pupil; do not want to reveal these data}

***Format of the file***
.xls, .csv (for the first spreadsheet only), .odt

***Licenses or restrictions***
CC-BY

Unfortunately, no README file was found for the datano extension, limiting the ability to provide a detailed and comprehensive description. Therefore, the following description is based on the extension name and general assumptions about data annotation tools within the CKAN ecosystem. The datano extension for CKAN, presumably short for "data annotation," likely aims to enhance datasets with annotations, metadata enrichment, and quality control features directly within the CKAN environment. It potentially introduces functionalities for adding textual descriptions, classifications, or other forms of annotation to datasets to improve their discoverability, usability, and overall value. This extension could provide an interface for users to collaboratively annotate data, thereby enriching dataset descriptions and making the data more useful for various purposes. Key Features (Assumed): * Dataset Annotation Interface: Provides a user-friendly interface within CKAN for adding structured or unstructured annotations to datasets and associated resources. This allows for a richer understanding of the data's content, purpose, and usage. * Collaborative Annotation: Supports multiple users collaboratively annotating datasets, fostering knowledge sharing and collective understanding of the data. * Annotation Versioning: Maintains a history of annotations, enabling users to track changes and revert to previous versions if necessary. * Annotation Search: Allows users to search for datasets based on annotations, enabling quick discovery of relevant data based on specific criteria. * Metadata Enrichment: Integrates annotations with existing metadata, enhancing metadata schemas to support more detailed descriptions and contextual information. * Quality Control Features: Includes options to rate, validate, or flag annotations to ensure they are accurate and relevant, improving overall data quality. Use Cases (Assumed): 1. Data Discovery Improvement: Enables users to find specific datasets more easily by searching for datasets based on their annotations and enriched metadata. 2. Data Quality Enhancement: Allows data curators to improve the quality of datasets by adding annotations that clarify the data's meaning, provenance, and limitations. 3. Collaborative Data Projects: Facilitates collaborative data annotation efforts, wherein multiple users contribute to the enrichment of datasets with their knowledge and insights. Technical Integration (Assumed): The datano extension would likely integrate with CKAN's existing plugin framework, adding new UI elements for annotation management and search. It could leverage CKAN's API for programmatic access to annotations and utilize CKAN's security model for managing access permissions. Benefits & Impact (Assumed): By implementing the datano extension, CKAN users can leverage improvements to data discoverability, quality, and collaborative potential. The enhancement can help data curators to refine the understanding and management of data, making it easier to search, understand and promote data driven decision-making.

Unlock the full potential of LinkedIn data with our extensive dataset that combines profiles, company information, and job listings into one powerful resource for business decision-making, strategic hiring, competitive analysis, and market trend insights. This all-encompassing dataset is ideal for professionals, recruiters, analysts, and marketers aiming to enhance their strategies and operations across various business functions. Dataset Features

Profiles: Dive into detailed public profiles featuring names, titles, positions, experience, education, skills, and more. Utilize this data for talent sourcing, lead generation, and investment signaling, with a refresh rate ensuring up to 30 million records per month. Companies: Access comprehensive company data including ID, country, industry, size, number of followers, website details, subsidiaries, and posts. Tailored subsets by industry or region provide invaluable insights for CRM enrichment, competitive intelligence, and understanding the startup ecosystem, updated monthly with up to 40 million records. Job Listings: Explore current job opportunities detailed with job titles, company names, locations, and employment specifics such as seniority levels and employment functions. This dataset includes direct application links and real-time application numbers, serving as a crucial tool for job seekers and analysts looking to understand industry trends and the job market dynamics.

Customizable Subsets for Specific Needs Our LinkedIn dataset offers the flexibility to tailor the dataset according to your specific business requirements. Whether you need comprehensive insights across all data points or are focused on specific segments like job listings, company profiles, or individual professional details, we can customize the dataset to match your needs. This modular approach ensures that you get only the data that is most relevant to your objectives, maximizing efficiency and relevance in your strategic applications. Popular Use Cases

Strategic Hiring and Recruiting: Track talent movement, identify growth opportunities, and enhance your recruiting efforts with targeted data. Market Analysis and Competitive Intelligence: Gain a competitive edge by analyzing company growth, industry trends, and strategic opportunities. Lead Generation and CRM Enrichment: Enrich your database with up-to-date company and professional data for targeted marketing and sales strategies. Job Market Insights and Trends: Leverage detailed job listings for a nuanced understanding of employment trends and opportunities, facilitating effective job matching and market analysis. AI-Driven Predictive Analytics: Utilize AI algorithms to analyze large datasets for predicting industry shifts, optimizing business operations, and enhancing decision-making processes based on actionable data insights.

Whether you are mapping out competitive landscapes, sourcing new talent, or analyzing job market trends, our LinkedIn dataset provides the tools you need to succeed. Customize your access to fit specific needs, ensuring that you have the most relevant and timely data at your fingertips.

Unlock a curated dataset of 18,000+ fashion products from Farfetch, a leading global fashion platform. This dataset covers high-end and emerging designer brands across men's, women's, and unisex categories — perfect for powering retail analytics, trend detection, and AI-driven fashion applications.

Whether you're building a product matching engine, conducting price intelligence, or training recommendation systems, this structured dataset gives you direct insight into global luxury retail at scale.

Delivered clean, deduplicated, and crawl-ready, it supports both market researchers and developers working in ecommerce, fashion tech, or retail platforms.

Use Cases

• Competitive price analysis and product benchmarking

• Fashion trend prediction and forecasting

• Retail catalog enrichment or matching

• Cross-platform brand visibility comparison

• AI/ML model training (e.g., recommendation engines)

• Inventory and availability tracking for luxury fashion

The ckanext-wikidata extension aims to integrate Wikidata functionality into CKAN. While the README provides limited information on specific features, the extension likely intends to allow users to connect dataset metadata within a CKAN instance to corresponding entities and properties in Wikidata, enriching CKAN datasets with the wealth of structured knowledge available in Wikidata. This integration would facilitate more sophisticated data discovery, linkage, and semantic understanding of the datasets within the CKAN catalog. Key Features (Inferred from the name and common use cases for similar extensions): Wikidata Entity Linking: Allows you to link CKAN dataset fields to specific entities (items) in Wikidata. Wikidata Property Annotation: Enables annotating CKAN dataset metadata with relevant properties from Wikidata, thus adding semantic context. Data Enrichment: Populates CKAN datasets with additional information retrieved from Wikidata based on linked entities and properties.

Sports Direct Complete Data is an extensive, structured dataset capturing live product listings, pricing, availability, and detailed attributes from one of the UK’s leading sports and lifestyle retailers. This dataset is designed for analysts, researchers, and businesses seeking to benchmark, monitor, or benchmark sports and lifestyle retail markets in real time.

Target Audience & Use Cases

• Retail analysts: Monitor price changes, promotions, and inventory shifts.

• Competitive intelligence teams: Benchmark against other sports retailers.

• E-commerce platforms: Enhance product feeds and recommendation engines.

• Data scientists: Build predictive models for pricing, demand, or stockouts.

• Market researchers: Study consumer trends in sports and lifestyle categories.

Customization & Support

Dataset fields, update frequency, and output formats can be customized to suit specific business needs. Support is available for integration and enrichment with additional data points upon request

Context

With the arrival of the COVID19 virus in New Zealand, the ministry of health is tracking new cases and releasing daily updates on the situation on their webpage: https://www.health.govt.nz/our-work/diseases-and-conditions/covid-19-novel-coronavirus/covid-19-current-cases and https://www.health.govt.nz/our-work/diseases-and-conditions/covid-19-novel-coronavirus/covid-19-current-cases/covid-19-current-cases-details. Much of the information given in these updates are not in a machine-friendly format. The objective of this dataset is to provide NZ Minstry of Health COVID19 data in easy-to-use format.

Content

All data in this dataset has been acquired from the New Zealand Minstry of Health's 'COVID19 current cases' webpage, located here: https://www.health.govt.nz/our-work/diseases-and-conditions/covid-19-novel-coronavirus/covid-19-current-cases. The Ministry of Health updates their page daily, that will be the targeted update frequency for this dataset for the Daily Count of Cases dataset. The Case Details dataset which includes travel details on each case will be updated weekly.

Limitations of this dataset

The mission of this project is to reliably convey data that the Ministry of Health has reported in the most digestable format. Enrichment of data is currently out of scope.

Help improve this dataset

If you find any discrepancies between the Ministry of Health's data and this dataset, please provide your feedback as an issue on the git repo for this dataset: https://github.com/2kruman/COVID19-NZ-known-cases/issues.

Used for the enrichment of the dataset of energy distributors per municipality, as well as for the associated visualization.

A question about the dataset? A use case to share with other users? The Forum des experts open dataélectricité et gaz is there for that!

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!

Envestnet®| Yodlee®'s Bank Transaction Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.

Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.

Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

3. Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis