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What is McDash?

McDash stands out as the leading source of servicer-contributed, loan-level data for ICE Mortgage Technology, featuring the most extensive dataset currently available in the industry. This remarkable platform provides an extensive view of mortgage performance across the United States, effectively supporting various activities such as research, modeling, risk management, compliance, and benchmarking. Thanks to its sophisticated data-processing capabilities, McDash delivers high-quality and current data approximately 45 days ahead of other market competitors. Users also have the option to access supplementary datasets that encompass credit information, property attributes, liquidation statistics, mortgage scores, and loss mitigation insights. A range of access and delivery methods is offered, including seamless integration with existing systems like the MSP loan servicing platform, an online access interface, customizable record formats, and a cloud-based data and analytics marketplace. Covering a wide spectrum of credit profiles, McDash includes agency, non-agency, and portfolio products, significantly representing the mortgage market and reinforcing its importance to industry participants. Additionally, the capacity to customize datasets elevates the user experience, facilitating more accurate analyses and enabling well-informed decision-making. In this ever-evolving market, staying ahead with up-to-date insights is crucial for stakeholders aiming to enhance their competitive edge.

What is RiskSpan Edge?

Uncovering critical insights and reducing potential risks linked to loans and structured financial instruments is crucial in today's market. Employ data analysis and predictive modeling methodologies to generate forecasts encompassing a range of scenarios while evaluating Agency MBS, mortgage assets, loans, and structured products. The expert consultants at RiskSpan will customize and develop tailored solutions, optimize your workflows, and improve your analytical capabilities. Leverage the advantages of cloud-based technology, machine learning, and artificial intelligence to boost growth, refine model development processes, and enhance data management. By incorporating these sophisticated tools, organizations can make better-informed decisions and react promptly to shifts in the market landscape. This approach not only drives efficiency but also positions companies to thrive in an ever-evolving financial environment.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

ICE Mortgage Technology

Date Founded

1997

Company Location

United States

Company Website

www.ice.com/fixed-income-data-services/mortgage-data-solutions/mcdash

Company Facts

Organization Name

RiskSpan

Date Founded

2001

Company Location

United States

Company Website

www.riskspan.com

Categories and Features

Mortgage and Loans

Amortization Schedule
Client Database
Closing Documents
Commercial Mortgages
Contact Management
Credit Reporting
Customer Statements
Document Management
Electronic Applications
Government Loans
Loan Origination
Loan Servicing
Pipeline Management
Pre-Qualification
Refinance Management
Residential Mortgages

Categories and Features

Financial Risk Management

Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation

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