Bob Hayes: Improving the Practice of Customer Experience Analytics
Use Machine-Assisted Predictive Analytics to Capture Your Customer’s Heart, Mind, and Pocketbook!
As users/customers engage with a company (their products, services, surveys), they generate a lot of data about their behaviors and interactions with the brand....
Data Science Helps Answer 5 Important Questions About Customer Churn
Business professionals are relying heavily on the practice of data science to answer important questions to improve how they manage customer relationships. Data scientists,...
How to Create the Right Customer Health Score
Businesses have been putting the customer at the center of their strategy
for decades. Adopting a customer-centric...
Are You Asking Customers Too Many Questions? Try Just Two
Customer feedback plays a central role in customer-focused programs. Last
month, I argued that we need fewer...
Reimagining Your Customer Survey: Fix Three Common Problems
Businesses have a plethora of data sources to help them understand
...
Where Can You Find Machine Learning Talent Among Data Scientists?
Data scientists have a variety of different skills that they bring to bear on Big Data projects. These skills cut...
What are the Differences in Data Science Skills and Satisfaction Across Job Functions?
The AnalyticsWeek and Business Over Broadway Data Science Survey survey revealed job...
“Hybrid” Data Scientists are Key to Leading and Optimizing Analytics Efforts
The "hybrid" data scientist is one whose work reflects many different data science roles. Hybrid data...
Are You Using the Right Tools for Your Big Data Projects?
Data scientists rely on tools/products/solutions to help them get insights from data. Gregory Piatetsky of KDNuggets conducts an annual survey...
Data Science Skills Needed in a Big Data World
Last month, I wrote about the three skills needed to practice data science. Based on a factor analysis of many...
3 Data Science Skills Needed to Get Value from Your Data
We live in a Big Data world where everything is being quantified. As a result, businesses are trying to make...
Simplifying Annual Customer Surveys: Is Customer Sentiment Stable Over Time?
I recently developed a method to measure customer sentiment, the Customer Sentiment Index. This method combines a structured and
unstructured approach to...
Getting More Value from Data: 6 Facts About the Structure and Practice of Data Science
The value of data is measured by what you do with it, and organizations are relying on data scientists to extract that value. I...
The Predictive Power of Customers’ Words
Last month, I illustrated a new method of measuring customers' attitudes about a company's product or brand. This method is unique because it combines...
Wireless Brand Satisfaction: Are Customers Own Words Better than a Rating Scale?
I recently developed a methodology that combines both a structured and unstructured measurement approach.The
methodology is based on...
Making Sense of Our Big Data World: Measurement Scales
Our world of Big Data is defined by the quantification of everything. In
order to make sense of all the data...
Data Science Talent is Key to Analytical Innovators
Companies continually look for ways to outperform their competitors. One way they are trying to get ahead is through the...
One Word Can Speak Volumes About Your Company Culture
Employee surveys are used to help manage the employee relationship. The questions in the employee survey are used to elicit...
Four Ways Big Data Can Improve Your Customer Surveys
Customer surveys remain the primary source of customer feedback for many companies, despite the growth in adoption of other customer...
Why You Need Relationship and Transactional Surveys in your Customer Experience Program
Customer experience (CX) improvement efforts rely heavily on the use of customer feedback to help companies determine where to make...