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
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
Dave Dutton BSc MSc PhD MBCS CEng
Telephone: 07866 574311
Fax: 07967 593477
Email: dave@knowvolution.co.uk
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
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
Last Revised: 12/08/2003 21:07