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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Introducing an exceptionally user-friendly scoring system specifically designed for small to medium-sized credit institutions, crafted by scoring specialists. This tool delivers precisely what you need for effective real-time scoring, focusing solely on scoring without any outdated, complicated features. It boasts the most favorable cost-to-value ratio available in the industry and can be operational within just a few days. Thanks to its intuitive wizard-based scorecard modeling interface, users find it easy to navigate. You can also monitor and validate scorecards with a selection of pre-defined reports. The system incorporates Reject Inference through both automated and manual methods, alongside automated binning utilizing chi-square techniques and manual binning based on Weight of Evidence (WOE). Additionally, it offers both automatic and manual sampling options, along with graphical statistics to visualize data insights. Users can filter, sort, and reassign portfolio data into “Good” and “Bad” categories, while numeric variables can easily be transformed into categorical forms. Furthermore, it provides correlation coefficients for each variable pair, both before and after the binning process, ensuring comprehensive analysis and understanding of the dataset. With this robust scoring system, credit organizations can enhance their decision-making processes efficiently.

Description

Instilling Quality is a distinctive quality assurance tool designed to objectively evaluate and score the accuracy and comprehensiveness of follow-up actions on accounts, tailored by user. This tool is part of the Resolution Queue™, a proprietary and customizable workflow software from PwC for managing healthcare accounts receivable (A/R), but it is also available for separate licensing and can function independently based on user requirements. The Instilling Quality software randomly assesses the work done by collection specialists and assigns a numerical score reflecting the thoroughness and completeness of each account. Users can specify the exact criteria necessary for scoring accounts accurately. The quality review process is informed by a user score's rolling average over 90 days. As a result, team members with higher scores face a reduced number of accounts for review, whereas those with lower scores will have more accounts queued to ensure continuous improvement in the review process. This approach not only incentivizes quality work but also systematically enhances the overall efficacy of account management.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

$9950 one-time payment
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
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 Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Plug&Score

Founded

2005

Country

Netherlands

Website

plug-n-score.com

Vendor Details

Company Name

PwC

Founded

1998

Country

United Kingdom

Website

www.pwc.com/us/en/products/instilling-quality.html

Product Features

Statistical Analysis

Analytics Yes 
Association Discovery Yes 
Compliance Tracking Yes 
File Management No 
File Storage Yes 
Forecasting Yes 
Multivariate Analysis Yes 
Regression Analysis Yes 
Statistical Process Control Yes 
Statistical Simulation Yes 
Survival Analysis No 
Time Series No 
Visualization Yes 

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