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ease
features
design
support

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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

Screenshots View All

Screenshots View All

Integrations

PostgreSQL

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

Product Features

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