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 […]
Tag Archives | Data science
Customer Success Executives Need to Answer These 3 Critical Questions
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 […]
Data Science Reveals 3 Problems with the NPS Dogma
The Net Promoter Score (NPS), a metric used to gauge the health of the customer relationship, has been used by companies for years. By applying data science principles to understanding the research behind the NPS, however, we see that the NPS claims have three serious problems. First, the “research” behind the NPS claims is flawed. Second, […]
4 Reasons Why Customer Retention Matters to Your Customer Acquisition Efforts
Business growth depends on acquiring new customers and keeping them around for a long time. Yet businesses are over 2x more likely to focus on acquisition efforts than they are retention efforts. In today’s post, I want to discuss why businesses need to increase their focus on customer retention efforts and why the are imperative to your […]
Brands In One Word: Donald Trump
A recent political poll of 800 Americans conducted by Cards Against Humanity showed the usefulness of a one-word response to understanding brands. The question used to elicit the one-word response was, “What’s the first word that comes to your mind when you think of Donald Trump?” The top words were: President, Idiotic, Asshole, Liar and […]
Salaries of Data Scientists and Machine Learning Engineers From Around the World
Annual salaries for data scientists and machine learning engineers vary significantly across the world. Based on a 2017 Kaggle survey of data professionals, countries with the highest paid data scientists and machine learning engineers (in USD) were: US ($120K), Australia ($111K), Israel ($88K), Canada ($81K) and Germany ($80K). Countries with the lowest annual salaries were: […]
Top 5 Paying Data Science and Machine Learning Jobs in the US
A recent survey by Kaggle revealed that the annual median compensation (salary + bonus) of data professionals in the US was $118K. US data professionals who self-identified as machine learning engineers, software developers and data scientists had the highest annual compensation at $128K, $120K and $120K, respectively. Data professionals who self-identified as data scientists reported […]
My Highlights from IBM Think 2018: Data Science, SPSS, Augmented Reality and the Customer Experience
I attended IBM’s inaugural Think event in Las Vegas last week. This event, IBM’s largest (estimated 30,000+ attendees!), focused on making your business smarter and included keynotes and sessions on such topics as artificial intelligence, data science, blockchain, quantum computing and cryptography. I was invited by IBM as a guest to share some insights from […]