Warwick Analytics


5 / 5 1 review

Who Uses This Software?

Anyone who has a lot of unstructured data and particularly text which they want to build models. This can be consumer businesses, contact centers, financial, medical and engineering.

Average Ratings

1 Review
  • 5 / 5
  • 4 / 5
    Ease of Use
  • 4 / 5
    Customer Service

Product Details

  • Starting Price
  • Pricing Details
    Depends on data volumes https://warwickanalytics.com/pricing/
  • Free Trial
  • Deployment
    Cloud, SaaS, Web
    Installed - Windows
  • Training
    Live Online
    In Person
  • Support
    24/7 (Live Rep)

Vendor Details

  • Warwick Analytics
  • www.warwickanalytics.com
  • Founded 2011
  • United Kingdom

About PrediCX

Automated predictive analytics for building accurate models with text data such as voice of the customer, warranty, complaints, reviews, insurance claims etc. It uses proprietary technology developed from a University so that it can be used by a non-data scientist. It maximises the performance of the models with the minimum 'human-in-the-loop' input.

PrediCX Features

  • AI / Machine Learning
  • Benchmarking
  • Data Blending
  • Data Mining
  • Demand Forecasting
  • For Education
  • For Healthcare
  • Modeling & Simulation
  • Sentiment Analysis
  • Boolean Queries
  • Document Filtering
  • Graphical Data Presentation
  • Language Detection
  • Predictive Modeling
  • Sentiment Analysis
  • Summarization
  • Tagging
  • Taxonomy Classification
  • Text Analysis
  • Topic Clustering

PrediCX Reviews Recently Reviewed!

Very powerful software for text

Dec 13, 2017
4 / 5
Ease of Use
5 / 5
Features & Functionality
4 / 5
Customer Support
5 / 5
Value for Money
Likelihood to Recommend: 10.0/10 Not

Pros: Easy for a non data scientist to use and build predictive models. Useful in many use cases including automation and getting actionable insight from text that you can't get from normal text analytics. It is also easy to plug into via the API.

Cons: The GUI is straightforward but fairly simplistic. It is intuitive once you start using it and the support is good, but some things could be easier to do.

Overall: We were able to build complex machine learning models, with thousands of classes, very quickly and accurately without needing a data scientist.