Data science requires the effective application of skills in a variety of machine learning areas and techniques. A recent survey by Kaggle, however, revealed that a limited number of data professionals possess competency in advanced machine learning skills. About half of data professionals said they were competent in supervised machine learning (49%) and logistic regression […]
Results from the Kaggle State of Data Science and Machine Learning survey of data professionals revealed that job satisfaction varies widely across job titles. Data professionals who reported the highest level of job satisfaction were: 1) Machine Learning Engineers, 2) Data Scientists and 3) Predictive Modeler. Data professionals who reported the lowest level of job […]
The importance of analytics continues to grow in business and beyond. I did my part this year to spread interest in analytics to more people. All of my top blog posts of 2017 (most reads) are all related to analytics, with posts that address data science, artificial intelligence and machine learning. Below are my top […]
I recently made a Batman analogy when discussing the topic of data science with some colleagues. In this post, I will explore this analogy further. Last week, a group of data professionals, including Jennifer Shin, Dion Hinchcliffe, Joe McKendrick, Joe Caserta and me, sat down with theCube‘s Dave Vellante and John Walls for a panel discussion on the topic of […]
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 and citizens understand how the world works. Data science capabilities can help business leaders leverage their vast amounts of data to get insights to improve how they manage their business […]
We surveyed 80+ customer-centric professionals in companies with formal customer-centric programs (e.g., customer experience, customer success) to determine the state of analytics in customer programs as well as identify what analytical leading companies (companies who use analytics to gain a competitive advantage) do differently in their customer programs compared to their analytical lagging counterparts. We […]
A new customer analytics survey of 80+ companies provides a look into the state of analytics in customer programs. Only 32% of respondents are satisfied with their company’s use of analytics to create a competitive advantage. The use of multiple survey methods is the most common practice across companies (80% of companies). The use of […]
We live in a Big Data world, one in which everything is quantified. As a result, customer-centric professional (e.g., customer experience, customer success) are increasingly using the practice of data science to extract value from these data. As the field of data science evolves, more terms are being used to define the process by which […]
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