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What is DTCC Data Services?

DTCC Data Services offers a wide range of referential and activity-based data, which can be accessed in fixed or customizable formats, drawn from a robust repository of transaction, reference, position, and asset servicing data that covers all significant asset classes. As the foremost post-trade market infrastructure within the global financial landscape, DTCC effectively addresses the complex challenges of data management associated with diverse transaction types and asset categories, enhancing transparency, mitigating risk, and promoting increased efficiency for financial entities. Their solutions centered around trade activity-based data provide essential market insights that allow firms to assess risk factors accurately and refine their market strategies, resulting in well-informed, strategic decisions regarding business operations and investments. Moreover, DTCC acts as a centralized source for corporate action announcements and reference data solutions, which assists organizations in improving and reconciling their operational data, ultimately leading to enhanced efficiency, accuracy, and overall organizational support. This comprehensive approach to data management empowers financial institutions to navigate industry complexities with greater assurance and effectiveness, ensuring they remain competitive in a rapidly evolving market. Additionally, the consolidation of such critical data resources fosters a collaborative environment where financial firms can share insights and best practices, further driving innovation in the sector.

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

DTCC

Date Founded

1973

Company Location

United States

Company Website

www.dtcc.com/data-services

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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