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What is Nexis DaaS?

The Data as a Service (DaaS) model provides a cloud-based solution that simplifies the retrieval of vital business information via a cloud platform, guaranteeing timely, secure, and economical access. This model supports various forms of critical business data, such as text documents, audio recordings, images, and videos. Historically, organizations have handled their data internally; however, the increasing intricacy and costs tied to managing data in our current information-centric environment have rendered this approach more difficult. By adopting the DaaS framework, companies can delegate the risks and responsibilities of data stewardship to a dedicated third-party cloud provider. DaaS solutions empower users to access and share information at their convenience, from any device, showcasing remarkable flexibility. In addition, these services aggregate data from a wide range of subjects and sources, which significantly improves the quality and thoroughness of the available information. This transition allows enterprises to concentrate more on their primary activities while benefiting from specialized data management expertise, ultimately fostering greater innovation and efficiency. Consequently, organizations can adapt more rapidly to market changes and enhance their decision-making processes.

What is Azure Open Datasets?

Improve the accuracy of your machine learning models by taking advantage of publicly available datasets. Simplify the data discovery and preparation process by accessing curated datasets that are specifically designed for machine learning tasks and can be easily retrieved via Azure services. Consider the various real-world factors that can impact business outcomes. By incorporating features from these curated datasets into your machine learning models, you can enhance the precision of your predictions while reducing the time required for data preparation. Engage with a growing community of data scientists and developers to share and collaborate on datasets. Access extensive insights at scale by utilizing Azure Open Datasets in conjunction with Azure’s tools for machine learning and data analysis. Most Open Datasets are free to use, which means you only pay for the Azure services consumed, such as virtual machines, storage, networking, and machine learning capabilities. The availability of curated open data on Azure not only fosters innovation and collaboration but also creates a supportive ecosystem for data-driven endeavors. This collaborative environment not only boosts model efficiency but also encourages a culture of shared knowledge and resource utilization among users.

Media

Media

Integrations Supported

Microsoft Azure

Integrations Supported

Microsoft Azure

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

LexisNexis

Date Founded

1970

Company Location

United States

Company Website

www.lexisnexis.com/en-int/glossary/data-as-a-service/data-as-a-service

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/open-datasets/

Categories and Features

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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