As part of my series on Making Sense of Our Big Data World, today’s post is on descriptive statistics. See the overview, Making Sense of Our Big Data World: Statistics for the 99%, to understand the importance and value of understanding statistics and statistical thinking. In the previous post, I showed how to calculate frequencies […]
This blog post is part of a series to help people learn the basic concepts of statistics. See the overview, Making Sense of Our Big Data World: Statistics for the 99%, to understand the importance and value of understanding statistics and statistical thinking. Data can be overwhelming. Often we are confronted with large data sets consisting of […]
What kind of a data scientist are you? Take the free Data Skills Scoring System Survey at http://pxl.me/awrds3 Companies rely on experts who can make sense of their data. Often referred to as data scientists, these people bring their specific skills to bear in helping extract insight from the data. These skills include such things as […]
As part of my series on Making Sense of Our Big Data World, today’s post is on measurement scales. See the overview, Making Sense of Our Big Data World: Statistics for the 99%, to understand the importance and value of understanding statistics and statistical thinking. We live in a world in which we are quantifying […]
Our world of Big Data is defined by the quantification of everything. In order to make sense of all the data around us, we need to understand statistics and statistical thinking. Statistics, after all, is the language of data. As I’ve discussed before, knowledge of statistics is not only needed by data workers (i.e., the […]
Companies continually look for ways to outperform their competitors. One way they are trying to get ahead is through the application of analytics on their data. Researchers, for example, have found that top-performing businesses were twice as likely to use analytics to guide future strategies and guide day-to-day operations compared to their low-performing counterparts. Researchers from MIT […]
The use of analytics is good for business. Researchers from MIT Sloan Management Review and IBM found that organizations that used business information and analytics outperformed organizations that did not. Businesses of all types are adopting the use of analytics to get use out of the vast amount of data that is being generated in our overly-quantified […]
In this post, I study what loyalty-leading companies do differently than loyalty-lagging companies in their customer experience management (CEM) efforts. The research helps identify best practices that companies can adopt in their CEM efforts to increase customer loyalty. Customer satisfaction is important for business success. Satisfied customers recommend your brand to their friends, stay with you longer […]
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