Knowvolution Ltd

Data Mining Consulting

We cover all aspects of analytical Customer Relationship Management (CRM), from data capture, through model development to deployment and assessment, for instance:-

·        product propensity models

·        customer segmentation

·        churn/attrition prediction

·        credit risk grading

·        cross-sell analysis

·        management information and reporting

Contents

 Scope of Work

 Contact Information

 Previous Projects

 Partners

 

Scope of Work

Data Mining Consulting

Methodology development and assessment

Project scoping, business case development

IT infrastructure assessment (related to model development/data mining)

Model construction, assessment, deployment, management and integration, including feedback (‘close the loop’)

Data capture (in-house and 3rd party), data auditing, integration/consolidation and denormalisation for modelling

Data Mining/Statistical Model Development

Model development, delivery and exploitation, using a number of systems e.g. SAS, Enterprise Miner, Clementine

Methods used include:-

·        Decision trees

·        Regression, linear and logistic

·        Neural networks

·        Clustering

·        Survival analysis

SAS Consulting and Programming

SAS Enterprise Miner, Base, Macro, STAT, CONNECT, GRAPH

Covering:-

·        Data extraction, integration, denormalisation, summarisation

·        Process automation, e.g. macro programming

·        Management information/reporting

·        Statistical analysis and model building

·        Client-server set-up and processing

Skills transfer, advice and mentoring

Artificial Intelligence/ Decision Support

Case-Based Reasoning, Knowledge-Based System development and AI programming

 

Back to top

Contact Information

Dave Dutton BSc MSc PhD MBCS CEng

Telephone: 07866 574311

Fax: 07967 593477

Email: dave@knowvolution.co.uk

 

Back to top

Previous Projects

A Mortgage Company

Marketing - Analysis of non-conforming residential mortgage customers, including lapsed offers, credit risk scoring, and the use of 3rd party data.

Alan Weaver Associates

Analysis of publication subscriptions, including data audit and integration and initial analysis

NatWest

Retail Banking, Modelling & Analysis Team - customer segmentation, retention/churn, mortgage propensity modelling, analysis of online/telephony banking

John Wiley

Interscience - Assessment of current data provision infrastructure for data mining and initial development of data mining strategy

Barclays Bank

Business Banking, Customer Knowledge Team - profiling and predictive modelling of larger and medium-sized corporate customers, and those using call centres, primarily to identify value or potential value

Esure

SAS Enterprise Miner skills transfer and modelling/data mining advice on behalf of SAS Institute.

Additional Experience

British Telecom

Customer Data Team - segmentation, profiling, classification and prediction, e.g.-

·        2nd line propensity: identify customers most likely to take extra lines

·        Resellers/Carrier Pre-Select: prediction of those routing calls via other providers

·        ADSL (Broadband): prospect profiling and propensity scoring

·        Customer segmentation, e.g. based on telecoms usage, internet usage, or products

·        Customer profitability: modelling customer net revenue with 3rd party data only due to regulatory issues

·        Internet product propensities to support marketing proposition development

SAS Institute

Consulting Department – including:-

·        Customer analysis for mobile telecoms

·        Fraud detection in telecoms

·        Segmentation and profiling for a high street retailer

 

Back to top

Partners

 Foxreed Ltd www.foxreed.co.uk

 BI Solutions Ltd www.bisolutions.co.uk

 Knowco www.knowco.co.uk

 Alan Weaver Associates www.aweaver.co.uk

 

Back to top

Last Revised: 12/08/2003 21:07