Novel Insight Scoring is analytical CRM software for automatically scoring customers given example (scored) data. The user of the software can set optimization time and adjust risk level (pessimistic, neutral or optimistic scoring) and score new customers without detailed knowledge about data analysis and machine learning methods. The scoring results are stored in a CSV file for further processing and importing to databases etc.
Features
- analytics
- scoring
Project Samples
Categories
Data AnalyticsFollow Novel Insight Scoring
You Might Also Like
HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
Rate This Project
Login To Rate This Project
User Reviews
-
The machine learning method is non-deep neural network. Bayesian neural network is used to handle uncertainty of neural network’s weights so that uncertain cases can be filtered away from scoring results. The 64bit C++ code is OpenMP multithreaded code using BLAS optimized linear algebra. This means software can use 100% of multicore CPU capacity. This software requires Windows 10 64bit and JRE 1.8 64 Java. Other versions of windows might work but are not tested. Known bugs: 1) non ASCII directory and filenames are not supported by C++ code. 2) Hybernation is not disabled by application so you need to disable it by hand. 3) About dialog tells this is commercial software but it is distributed now as freeware. 4) There are better ways to calculate scoring. Contact me if you want to pay for better results. For documentation with example read doc from about menu. Tomas.Ukkonen@NovelInsight.biz