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What is Data & Sons?

Data & Sons stands as a groundbreaking open marketplace for datasets, promoting a fair and seamless exchange of information by enabling users to buy, sell, share, and request data through an integrated online platform. Within this marketplace, sellers can present their datasets effectively, allowing prospective buyers to discover and purchase them with a single click. The platform facilitates real-time transactions, ensuring that sellers receive instant payment for their sales, and allows for the unrestricted resale of datasets. Furthermore, it supports customized data requests and fulfillment processes, enabling users to submit, track, and finalize personalized dataset orders efficiently. With an intuitive interface designed to guide users through listing, searching, and transacting, Data & Sons also offers a wealth of tutorials, FAQs, and support resources to ensure a seamless onboarding journey. In addition, each dataset is meticulously vetted to meet privacy standards and quality requirements, fostering a reliable space for both data monetization and sharing opportunities. This innovative model not only improves access to essential datasets but also cultivates a vibrant community of data enthusiasts who can collaborate and share insights. By prioritizing user experience and trust, Data & Sons sets a new standard in the open data marketplace.

What is Bloomberg Enterprise Data Catalog?

The Bloomberg Enterprise Catalog presents an intricately organized repository of over 40,000 data fields, consolidating a diverse array of enterprise datasets including reference, regulatory, pricing, ESG, and alternative data, as well as real-time market feeds, fund specifics, and investment research, all accessible via a single, API-friendly source featuring customizable dashboards and integration connectors. This platform empowers users to perform natural-language and field-specific searches, subscribe to selected datasets, and visualize critical elements such as data lineage, usage metrics, and quality scores, backed by historical data that spans decades, thus facilitating back-testing, trend analysis, regulatory compliance, and model validation. Users can access the data through desktop interfaces, terminals, or RESTful APIs, which easily integrate with business intelligence tools, cloud storage solutions, and data lakes, offering a variety of delivery methods from tick-level pricing to broader aggregated statistics. To maintain high quality, the system implements stringent quality controls, standardized identifiers, and enterprise-grade service level agreements (SLAs) that ensure consistency, accuracy, and availability, thereby bolstering user trust in their data-driven decision-making. This holistic approach not only simplifies data management processes but also equips organizations with the tools necessary to fully leverage their data assets, empowering them to make informed strategic choices based on reliable insights. Such a robust framework ultimately enhances operational efficiency and drives competitive advantage in the marketplace.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Data & Sons

Date Founded

2016

Company Location

United States

Company Website

www.dataandsons.com

Company Facts

Organization Name

Bloomberg

Company Location

United States

Company Website

www.bloomberg.com/professional/products/data/enterprise-catalog/

Categories and Features

Data Marketplaces

Not specified

Data Monetization

Not specified

Web Dataset Providers

Not specified

Categories and Features

Web Dataset Providers

Not specified

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