Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
McDash serves as the premier repository of servicer-contributed, loan-level data for ICE Mortgage Technology, boasting the most comprehensive dataset available in the market. This exceptional resource offers an in-depth perspective on mortgage performance throughout the United States, effectively aiding in research, modeling, risk management, compliance, and benchmarking objectives. With its advanced data-processing capabilities, McDash is able to provide high-quality, up-to-date data around 45 days earlier than competing market sources. Users have the flexibility to choose from additional datasets that include credit information, property details, liquidation data, mortgage scores, and insights into loss mitigation. Various access and delivery methods are available, such as integration with existing systems like the MSP loan servicing system, an online access tool, customized record layouts, and a cloud-based data and analytics marketplace. Covering a vast array of credit profiles, McDash encompasses agency, non-agency, and portfolio products, representing a significant portion of the mortgage market and solidifying its role as an essential tool for industry stakeholders. Furthermore, the ability to tailor datasets enhances the user experience, allowing for more precise analyses and informed decision-making.
Description
DashDB Local, the latest addition to IBM's dashDB suite, enhances the company's hybrid data warehouse strategy by equipping organizations with a highly adaptable architecture that reduces the cost of analytics in the rapidly evolving landscape of big data and cloud computing. This is achievable thanks to a unified analytics engine that supports various deployment methods in both private and public cloud environments, allowing for seamless migration and optimization of analytics workloads. Now available for those who prefer deploying in a hosted private cloud or an on-premises private cloud via a software-defined infrastructure, dashDB Local presents a versatile choice. From an IT perspective, it streamlines deployment and management through the use of container technology, ensuring elastic scalability and straightforward maintenance. On the user side, dashDB Local accelerates the data acquisition process, applies tailored analytics for specific scenarios, and effectively turns insights into actionable operations, ultimately enhancing overall productivity. This comprehensive approach empowers organizations to harness their data more effectively than ever before.
API Access
Has API
API Access
Has API
Integrations
Adobe Document Cloud
Cisco AnyConnect
IBM Cloud
SAP Cloud Platform
Salesforce
Spark
Workday Extend
Integrations
Adobe Document Cloud
Cisco AnyConnect
IBM Cloud
SAP Cloud Platform
Salesforce
Spark
Workday Extend
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
ICE Mortgage Technology
Founded
1997
Country
United States
Website
www.ice.com/fixed-income-data-services/mortgage-data-solutions/mcdash
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www-01.ibm.com/common/ssi/cgi-bin/ssialias
Product 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
Product Features
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge