The practice of data science, including work in machine learning and artificial intelligence, requires the use of analytics tools, technologies and programming languages. A recent survey of nearly 20,000 data professionals by Kaggle revealed that Python, SQL and R continue to be the most popular programming languages. The most popular, by far, was Python (87% […]
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 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 […]
The importance of data science and machine learning continues to grow in business and beyond. I did my part this year to spread interest in data science to more people. All of my top blog posts of 2018 (most reads) are all related to data science, with posts that address the practice of data science, […]
Retention marketing is about preventing your valuable customers from churning. Reducing customer churn requires you to know two things: 1) which customers are about to churn and 2) which remedies will keep them from churning. In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos […]
I was interviewed by IBM to share my thoughts on a topic related to data science about which I’m passionate: How do we know what we know and, once we know it, how do we know it’s the truth? IBM turned that interview into a comic strip (see below) and I summarize my points in this […]
In today’s subscription-based economy, customers are no longer trapped in long-term contracts; instead, they are able to jump to competitors easily when they become dissatisfied with their current vendor. Consequently, many subscription-based and SaaS companies are turning to the practice of Customer Success to retain their customers. Customer Success is the function in a company […]
Learn how to build your business around the customer using customer-centric measurement and analytics. Available in Kindle and paperback. Learn more about TCE: Total Customer Experience.
Beyond the Ultimate Question: Book includes comprehensive review of Net Promoter® Score (NPS) and presents better measures of customer loyalty and best practices of customer feedback programs.
Measuring Customer Satisfaction and Loyalty (3rd Ed.): Book includes discussion of how to measure the customer experience, including customer satisfaction and customer loyalty.