Predictive analytics to support each and every business

Coheris SPAD, our data mining and predictive analytics software, uses company data to anticipate risks, identify opportunities and optimise the different business operations. 

 

Its level of methodological expertise combined with intuitive implementation and meticulous report generation are just what you need to create value and stay ahead of the pack.

Coheris SPAD is used by hundreds of large companies, in every industry. It is also used extensively in research and education, at universities and prestigious higher education establishments.

Copie ecran Spad

 

pictoFrom raw data to actionable knowledge

 

In many areas, there are huge volumes of data available – all potential sources of value, but these remain all too often untapped. With Coheris SPAD you can structure and analyse this data, turning it into knowledge.

Analyse all your data with Coheris SPAD to:

   
  • Segment your customer databases to improve targeting and personalise your messages, offers and communication channels.
  • Understand and model your customers’ behaviour, to optimise your customer acquisition, retention and repositioning strategies.
  • Evaluate and predict business risks: credit-related risks, detection of insurance fraud, clinical risks, industrial risks, etc.
  • Carry out your surveys, market research, sensory research, sociological studies, etc.

 

LCL

 

LCL relies on segmentation established with Coheris SPAD to improve customer satisfaction.

 

"The study was carried out very quickly thanks to Coheris SPAD. In 6 months, we had devised a specific sales pitch and approach for each profile."

 

Sabrina Giry - Head of the Research Division

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 As part of its policy of banking innovation and to enhance its customer relations, LCL decided to launch a study of its individual customers in April 2009. The Coheris SPAD software programme, which the group had been using for over 10 years, enabled the Research division to define a new segmentation model affecting the entire network and every aspect of the bank's activities.

 

Advantages:

  • Unparalleled productivity and user-friendliness
  • Saves valuable time at every stage of a data mining study
  • Automation of data preparation
  • A wealth of methods available
  • A strong workflow
  • Rich data visualisation