• 9 Customer Experience priorities for the new year

• CX Economics Part 2: The new value drivers for the Customer Experience business case

• CX Economics Part 1: The 6 classic value drivers for the Customer Experience business case

• 3 CX priorities for 8 company cultures

• CX Conversations: Are yours unhelpful?

• Towards Data Value Management

• Big Data Fail

• Commercial churn impact from limited data

• Training dates for Marketing Analytics course announced

• Journey to profits: valuing the customer experience success story

• Google loves us 100%

• Oil and Data: Downstream Data Science

• Under pressure, discover opportunity: Customer success story

• Explorers and farmers: What is a ‘Data Scientist’?

• Bringing dinosaurs back to life: the future of insurance

• What is wrong with lift curves

• How do we know that marketing works?

• Marketing Analytics Using R Training Course 31 October - 04 November 2016

• The Customer Insight function as a growth engine

• Microsoft Analytics in 2016

• Net Promoter Score confidence intervals 2: maths and stats

• R in Insurance 2016

• Net Promoter Score confidence intervals

• Analytics for Marketing online training 25 - 28 September 2012

• When Big Data matters

• R code for Chapter 2 of Non-Life Insurance Pricing with GLM

• R code for Chapter 1 of Non-Life Insurance Pricing with GLM

• R versus SAS/SPSS in corporations

• Commercial Analytics: The Capabilities

• 5 common pitfalls of commercial analytics projects

• Friday quote: what is the question to which this number is the answer?

• A warning on the R save format

• Friday quote: the handmaiden and the whore

• Spreadsheet errors

• Getting started with the Heritage Health Price competition

• Inflow segmentation – measuring new customers by value not volume

• Understanding reasons for churn – and what you can do about it

• Commercial churn modelling

• Why?

• Benchmarking feature selection with Boruta and caret

• Feature selection: Using the caret package

• Feature selection: All-relevant selection with the Boruta package

• Big data for R

• Area Plots with Intensity Coloring

• Employee productivity revisited

• Employee productivity as function of number of workers revisited

• Comparing standard R with Revoutions for performance

• Faster R through better BLAS

• Eliminating observed values with zero variance in R

• Your mobile phone knows everything about you … and it is telling

• Beautiful Data

• Massively parallel database for analytics

• B2B Content Marketing

• Marketing lessons from antiquity

• The Knapsack Problem

• OECD Statistics

• R tips: Determine if function is called from specific package

• R tips: Installing Rmpi on Fedora Linux

• Data Mashups in R from O’Reilly

• How to win the KDD Cup Challenge with R and gbm

• R used by KDD 2009 cup winner of slow challenge

• R tips: Use read.table instead of strsplit to split a text column into multiple columns

• Do social networks influence purchases?

• data.gov

• KDD Cup 2009

• SNA with R: Loading large networks using the igraph library

• SNA with R: Loading your network data in statnet

• R tips: Swapping columns in a matrix

• R tips: Eliminating the “save workspace image” prompt on exit

• R tips: Keep your packages up-to-date

• The financial crisis and physicists

• Happy birthday WWW

• 5 step process for customer base segmentation

• 3 things we want from a segmentation of the customer base

• 4 easy steps to make Mason utf-8 Unicode clean with Apache, mod_perl, and DBI

• The truth about venture capitalists according to Marc Andreessen

• Innovation forever

• Enterprise social software and profits per employee

• Need to know versus need to share

• Do you have a customer strategy?

• The Post-GUI era

• Enterprise Social Software is Mainstream

• Enterprise Social Software Links

• Optimal Knowledge Management

• Influencers are not influential

• Skill versus luck

• When Venture Capital is more than capital

• Innovation in consumer goods

• Business models as the enablers of innovation

• The 3/2 rule revisited

• The 3/2 rule of employee productivity

• InfoNGEN

• Thinking about success

• 55 Ways to Have Fun With Google

• Telling the truth: technique for unbiased survey answers

• XSLT + AJAX Data Grid

• BI Megatrends 2006 is out

• John Kay on intuition

• A data driven business? But you can't be sure your mathematical model is correct….

• RFID and privacy

• Fenwick Venture Capital Survey and other publications

• Marketing as the corporate head of customer experience, knowledge, and influence

• Whatever happened to focusing on profits?

• Will Google destroy the internet?

• Paper’s Revenge

• Internet as a utility

• Connecting people in the creative enterprise

• How to retire early (and be happy and productive)

• The Long Snout: A business model for online information

• At work we are all fighter pilots

• Most decisions are wrong

• Making navigation complex

• Prayer podcasting

• Are you useful after the event?

• The Economist on ‘The blog in the corporate machine’

• Why is knowledge management failing?

• Return on Customer and change in market capitalization

• Valuation of O2 mobile business

• ROC for mobile industry 2

• Customer equity and enterprise value in the mobile industry - Take 2

• ROC for mobile industry

• Customer equity and market value in the UK mobile industry

• The Economist on a roll

• Linkfest: Business and entrepreneurship

• Howard is leaving venture capital

• Excel Tip: Array boolean operator

• How to win the game of chicken

• The end of the deal flow

• Entrepreneurial Signaling: The Art of Collecting Peacock Feathers

• Gartner on CRM

• Organizational success for outsourcing

• Disruptive innovation as a core business process

• Innovation in online book sales

• Actions for Enterprise Collaboration

• Approaches to enterprise social software

• Happy Birthday, H.C.

• Presenting and selling technology to corporates: The lying awake at night test

• Understanding is only achieved in synchronous communication

• Work-life balance

• Business Science - an Oxymoron?

• Transparency and types of partnerships

• The Economist on the Private Equity Industry

• Free advice is worth every penny … and that is how we treat it

• Social Software in the Enterprise: A Historic Perspective

• Results from social network analysis

• Tell-tale signs of a business going down

• Why you can be an entrepreneur with less capital

• Mintzberg on corporate blogging

• Research project: Increasing innovation velocity in the enterprise using text clustering

• Darwin and the Demon – Innovating Within Established Enterprises

• Content is the slug’s trail in social software

• What Is Your Business?

• Social Software in the Enterprise

• Sometimes the shortest route is a long one

• Business process outsourcing with a difference

• Entrepreneurial vision

• The Commodities Economy and the New Technology Trends

• Mobile Speech Recognition as a Disruptive Technology

• Optimizing Viral Marketing: A Practical Approach

• Social Software Review Part 4: Spoke Software

• SPSS acquires DataDistilleries

• Social Software Review Part 3: Ryze

• Social Software Review Part 2: LinkedIn

• Social Software Review Part 1: Introduction to Social Network Software

• Requirements for Electronic Representation of Social Networks

• A Definition of Collaborative CRM

• Trust Networks

• Welcome Amazonians: Amazon facts and figures

• Where and how middlemen add value

• New research paper: Business platforms

• William Gibson on Risk Management: It’s the only idea of our times

• Now is the time to cash in on CRM

• Selling Software: Artisans of the world, unite!

• Linked - The New Science of Networks