A new customer survey approach that requires only two open-ended questions provides customer insights that are comparable to a longer, more traditional customer survey. This ...
A study of 80+ companies showed that analytical leading companies (those who use analytics to gain a competitive advantage), more so than analytical lagging companies, ...
I’m all for helping educate the world about the power of data and analytics. I believe that the power of data science can help businesses ...
Our world of Big Data is defined by the quantification of everything. In order to make sense of all the data around us, we need ...
Below is a list of topics, answers and articles in support of a recent Tweet Chat in which I was the guest. The chat (#CXChat) was on customer experience and emerging technologies. I was invited as a guest in a weekly tweet chat that is hosted by Annette Franz and Sue Duris. This week’s CXChat […]
Customer experience management (CXM) programs are necessarily a quantitative endeavor, requiring CX professionals to decipher insights from a sea of customer data. In this post, I will illustrate how you can use IBM Watson Studio to analyze one source of customer data, customer survey responses, to answer two important questions about the health of your […]
Data science projects require data professionals to devote their energy toward different activities toward project completion. Results of a recent study of over 23,000 data professionals found that data scientists spend about 40% of gathering and cleaning data, 20% of their time building and selecting models and 11% of their time finding insights and communicating […]
A recent survey revealed that 69% of data pros have used at least one cloud computing product in the last 5 years while 62% of data pros have used at least one cloud computing service in the last 5 years. The most popular cloud computing products include AWS Elastic Compute, Google Cloud Engine and AWS […]
A recent survey revealed that 84% of data pros have used at least one ML framework in the last 5 years while 51% of data pros have used at least one ML product in the last 5 years. The most popular ML frameworks include Scikit-Learn, Tensorflow and Keras. The most popular ML products include SAS, […]
Analysis of usage patterns of 16 data science programming languages by over 18,000 data professionals showed that programming languages can be grouped into a smaller set (specifically, 5 groupings). That is, some programming languages tend to be used together apart from other programming languages. A few of the different groupings of languages reflect specific types […]
Customer loyalty, a leading indicator of business growth, refers to the extent to which customers feel positively about and engage in positive behaviors (e.g., buy, recommend, buy different) toward a company or brand. Successful companies have customers who recommend them, stay with them and buy more from them compared to less successful companies. To improve […]
The practice of data science requires the use of analytics tools, technologies and programming languages to help data professionals extract insights and value from data. A recent survey of nearly 24,000 data professionals by Kaggle revealed that Python, SQL and R are the most popular programming languages. The most popular, by far, was Python (83% […]