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Investigating Data Scientists, their Skills and Team Makeup
A new survey of 490 data professionals from small to large companies, conducted by AnalyticsWeek ...
State of Analytics In Customer Programs: Customer Loyalty Focus, Machine Learning Adoption and the Data Science Skill Gap
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 […]
Three Problems with Customer Surveys and How to Fix Them
Customer surveys are the foundation of many CX programs. Improvements in the content of these surveys, however, have not changed for decades. Businesses now have a plethora of data sources to help them understand their customers. The use of these Big Data sources will necessarily impact the type of questions you need to ask in […]
25 Data Science Terms Every Customer Professional Needs to Know
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 […]
Artificial Intelligence: The Customer Experience Imperative
Customer Experience Management (CXM) is the process of understanding and managing customers' interactions with and perceptions about the company/brand. In our Big Data world, improving the customer experience is increasingly becoming data-intensive endeavor. Consider CRM systems, surveys, social media sources, telemetry systems, and publicly available data sources; using the combined power of statistics and today’s […]
#DataProPoll: The State of Data Analytics
I am preparing to launch a data science survey in the next couple of weeks. This study will be help verify the findings from a similar study I conducted two years ago (see Investigating Data Scientists, Their Skills and Team Makeup) as well as help me explore additional topics of interest (e.g., satisfaction with data […]
What Data Science Skills Do You Need in a Big Data World?
A while back, I wrote about the three skills needed to practice data science. Based on a factor analysis of many different skills, data science skills fall into three broad skill areas. These skill areas are: 1) subject matter expertise, 2) technology/programming and 3) statistics/math. Data science is essentially a way to extract insight from data using […]
Top 10 BOB Blog Posts of 2016: Data Science Skills, Tools and Statistics
Each year, I write a summary of my most popular blog posts. This year-end summary is a rather simple exercise. I count the pageviews of my blog posts and present the top 10 posts of the year. This year's BOB blog count, however, only goes from January through June 2016. Since June, I have been writing primarily […]
Looking for Machine Learning Talent Among Data Scientists
Data scientists have a variety of different skills that they bring to bear on Big Data projects. These skills cut across Subject Matter Expertise, Technology, Programming, Math & Modeling and Statistics. One valuable skill that is becoming popular in data science is machine learning. Machine learning is a method of data analysis that automates model building […]
Beyond the Ultimate Question
Measuring Customer Satisfaction and Loyalty (3rd Ed.)