Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The PRMS Risk Management System represents a cutting-edge approach to risk management, utilizing neural network technology to deliver lenders an accurate evaluation of pipeline interest rate risk, optimal execution strategies, rate-shock sensitivity, and the current mark-to-market valuation of their positions. For further details, please select a topic from the options below. PRMS also offers users the choice to determine if imports should replace existing data or be added to it, enhancing the system's functionality. Furthermore, the import capabilities enable users to keep their data tables up-to-date, which significantly improves the accuracy of analyses conducted. Instead of trying to accommodate all potential data fields that different mortgage bankers may want to track historically, PRMS intelligently reviews the user's import file and creates a tailored database accordingly. This design grants users remarkable flexibility, while the implementation process is streamlined, as there are no pre-defined exports that need to be integrated into existing systems. Consequently, users can seamlessly adapt the system to their specific needs without unnecessary complications.
Description
In QDeFuZZiner software, the fundamental unit is referred to as a project, which encompasses the definitions of two source datasets for import and analysis, known as the "left dataset" and "right dataset." Each project not only includes these datasets but also a variable number of solutions that detail the methodology for conducting fuzzy match analysis. Upon creation, every project is assigned a distinct project tag, which is subsequently appended to the names of the corresponding input tables during the raw data import process. This tagging system guarantees that the imported tables maintain uniqueness through association with their respective project names. Furthermore, during the import phase and later when generating and executing solutions, QDeFuZZiner establishes various indexes on the PostgreSQL database, thereby enhancing the efficiency of fuzzy data matching procedures. The datasets themselves can be sourced from spreadsheet formats such as .xlsx, .xls, .ods, or from CSV (comma separated values) flat files, which are uploaded to the server database, leading to the creation, indexing, and processing of the associated left and right database tables. This structured approach not only simplifies data management but also streamlines the analysis process, making it easier for users to derive insights from their datasets.
API Access
Has API
No
API Access
Has API
No
Integrations
PostgreSQL
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Precision Risk Management Systems
Country
United States
Website
www.prmsonline.com/riskmanagement.aspx
Vendor Details
Company Name
QDeFuZZiner
Website
zmatasoft.wixsite.com/qdefuzziner/qdefuzziner-software-features
Product Features
Financial Risk Management
Compliance Management
No
Credit Risk Management
No
For Hedge Funds
Yes
Liquidity Analysis
No
Loan Portfolio Management
No
Market Risk Management
Yes
Operational Risk Management
Yes
Portfolio Management
No
Portfolio Modeling
No
Risk Analytics Benchmarks
No
Stress Tests
No
Value At Risk Calculation
No