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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
API Access
Has API
Integrations
PostgreSQL
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
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
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