Data Scientists and the Practice of Data Science
I was recently involved in a couple of panel discussions on what it means to be a data scientist and to practice data science. These discussions/debates took place at IBM Insight in Las Vegas in Late October. I attended the event as IBM’s guest. The panels, moderated by Brian Fanzo, included me and these data experts: Andrew […]
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 both a structured and unstructured measurement approach. Companies can use an open-ended survey question that asks customers to provide a single word that best describes the company/brand. From this one word, companies can apply […]
Getting Insights Using Data Science Skills and the Scientific Method
IBM is hosting their IBM Insight event next week in Las Vegas. The event will, no doubt, help companies understand how to use analytics to get insight from their data. I will be attending the event as their guest and will be sharing what I learn via social media. As a first step in sharing […]
Data Science Skills and the Improbable Unicorn
The role of data and analytics in business continues to grow. To make sense of their plethora of data, businesses are looking to data scientists for help. Job site, indeed.com, shows a continued growth in “data scientist” positions. To better understand the field of data science, we studied hundreds of data professionals. In that study, we […]
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 a single open-ended survey question in which respondents are asked to provide one word that best describes the brand of interest. From this one word, you learn two things about your customers: their sentiment and the reasons […]
Making Sense of our Big Data World: Descriptive Statistics
As part of my series on Making Sense of Our Big Data World, today’s post is on descriptive statistics. See the overview, Making Sense of Our Big Data World: Statistics for the 99%, to understand the importance and value of understanding statistics and statistical thinking. In the previous post, I showed how to calculate frequencies […]
Investigating Data Scientists, their Skills and Team Makeup
A new survey of 490 data professionals from small to large companies, conducted by AnalyticsWeek in partnership with Business Over Broadway, provides a look into the field of data science. Download the free Executive Summary of the report, Optimizing your Data Science Teams. Our world of Big Data requires that businesses, to outpace their competitors, optimize the […]
Making Sense of Our Big Data World: Frequencies, Percentages, Histograms and Distributions
This blog post is part of a series to help people learn the basic concepts of statistics. See the overview, Making Sense of Our Big Data World: Statistics for the 99%, to understand the importance and value of understanding statistics and statistical thinking. Data can be overwhelming. Often we are confronted with large data sets consisting of […]
Beyond the Ultimate Question
Measuring Customer Satisfaction and Loyalty (3rd Ed.)