QUICK FACTS

HEAD OFFICE

35 Kingsland Road
London E2 8AA
United Kingdom

COUNTRIES SUPPORTED

Europe, United Kingdom, United States

category

CATEGORIES

Big Data, Analytics, Big Data Analytics, Predictive analytics, Big-Data-as-a-Service

INDUSTRIES

Aerospace, Automotive, Electronics, Financial Services, Healthcare, Manufacturing, Marketing, Oil and gas, Pharmaceuticals, Retail

PRICING

Free Trial

One-time license

Pay-per-Use

None

TYPE OF CUSTOMERS

For profit

SIZE OF CUSTOMERS

Large, Global Enterprise, Medium

 
Founders:
Dan Somers
 
Year founded:2011
Funding received:$ $400 Thousand
Investors:
 
#Employees:8
Awards won:3
Patents:1
Vendor size:small
 

Overview

Powerful Predictive Analytics and Preventative/Predictive Maintenance. Ground-breaking analytics proven to have more predictive power than other techniques – works without hypotheses and with dirty and/or incomplete data.

Our products are based on sophisticated computer algorithms, developed at the University of Warwick, that analyse both structured and unstructured data such as free text, images, social media, web, video, email and much more. Use cases include:

  • zero in on product faults
  • analyse process failures
  • identify future issues
  • predictve maintenance
  • Voice of the Customer research
  • Customer segmentation
  • Buying behaviour
  • Store/promotion optimisation
  • Fraud detection

Our software is qualified on all major databases such as SAP, Teradata and Microsoft.

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THE 3 KEY BENEFITS

  • 01 Software is not reliant on hypothesis - accuracy is significantly improved. RCASE was born to work in the real world,...
  • 02 Software can use ALL data including dirty or incomplete data (this is in fact where it finds significant information).
  • 03 The software is automated and works in real time. Our software gives insight that can often take engineers and data s...

THE 3 KEY BENEFITS

  • 01 Software is not reliant on hypothesis - accuracy is significantly improved. RCASE was born to work in the real world, with dirty or incomplete data and solve problems that statistics was unable to solve. Whilst it is non-statistical, statistics can be applied to the results to validate the confidence interval of the results.
  • 02 Software can use ALL data including dirty or incomplete data (this is in fact where it finds significant information).
  • 03 The software is automated and works in real time. Our software gives insight that can often take engineers and data scientists months or even years to find.
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PRODUCT FEATURES

  • RCASE Algorithm

    Warwick Analytics has commercialised proprietary algorithms originally developed after decades of research. These algorithms are designed to deal with all types of dataset and problem design. They were designed from the ground up to cope with dirty and/or incomplete data, and to extract statistically meaningful signals which are not able to be extracted from other forms of predictive analytics techniques such as regression, neural networks or decision-trees.

  • The platform

    The critical differentiators that set our platform apart from existing analytical tools are: – The automation of the data gathering step – The structured selection of algorithms depending on the problem and data available – The platform can be built either in the cloud or on-premise (indeed in a private cloud). The nine analytical process steps associated with analytics platforms are automated to the maximum possible extent. This makes the platform able to be used by a business u





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