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 […]
Tag Archives | analytics
Customer Analytics Best Practices: Free White Paper
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 […]
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 […]
#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 […]
Understanding Customer Survey Data: Descriptive, Predictive and Prescriptive Analytics to Improve Customer Loyalty
Customer relationship surveys play a major role in helping improve the customer experience and increase customer loyalty. By gathering customer perceptions of their experience as well as their likelihood of engaging in different types of customer loyalty behaviors, companies are able to use these data to get insight about how to improve the quality of the […]
Data Scientists and the Practice of Data Science
I was recently involved in a couple of panel discussions on what it means to be a data scientist and to practice data science. These discussions/debates took place at IBM Insight in Las Vegas in Late October. I attended the event as IBM’s guest. The panels, moderated by Brian Fanzo, included me and these data experts: Andrew […]