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What is dashDB Local?

IBM's dashDB Local, the newest component of the dashDB suite, strengthens the company's hybrid data warehouse initiative by providing businesses with a flexible architecture that minimizes analytics costs amid the fast-changing realms of big data and cloud services. This is made possible through an integrated analytics engine that accommodates multiple deployment options in both private and public cloud settings, facilitating smooth transitions and optimization of analytics tasks. It is now accessible for organizations choosing to deploy in either a hosted private cloud or an on-premises private cloud with a software-defined infrastructure, making dashDB Local a practical option. From an IT standpoint, it simplifies deployment and management processes by leveraging container technology, which guarantees elastic scalability and easy upkeep. For users, dashDB Local speeds up data collection, customizes analytics for particular use cases, and efficiently translates insights into actionable steps, significantly boosting overall productivity. Furthermore, this all-encompassing strategy enables organizations to better utilize their data than ever before, fostering a culture of informed decision-making.

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.

Media

Media

Integrations Supported

Adobe Document Cloud
Cisco AnyConnect
IBM Cloud
SAP Cloud Platform
Salesforce
Spark
Workday Extend

Integrations Supported

Adobe Document Cloud
Cisco AnyConnect
IBM Cloud
SAP Cloud Platform
Salesforce
Spark
Workday Extend

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

IBM

Date Founded

1911

Company Location

United States

Company Website

www-01.ibm.com/common/ssi/cgi-bin/ssialias

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

Categories and Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

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

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