The Foundations of Social Media Analytics chapter from our forthcoming book, Understanding Audiences, Customers, and Users via Analytics, covers the following. Social media analytics is the process of deriving meaning from social media data to make better business decisions. Social media platforms offer businesses new insights into their strategies through social media analytics. Social media…… Continue reading The Foundations of Social Media Analytics
Author: Jim Jansen
The Foundations of Web Analytics
The Foundations of Web Analytics chapter from our forthcoming book, Understanding Audiences, Customers, and Users via Analytics, covers the following. Web analytics is the practice of analyzing digital data about online visitors to websites and apps to gain insights that inform business decisions. Web analytics focuses on collecting, measuring, analyzing, and reporting digital data to…… Continue reading The Foundations of Web Analytics
Personas for our forthcoming book, “Understanding Audiences, Customers, and Users via Analytics”
For our forthcoming book, “Understanding Audiences, Customers, and Users via Analytics”, we have three personas that we used to focus the book’s content: one designer, one professor, and one industry researcher. Mary is a senior user experience designer who wants her organization to use analytics for several major projects. She is familiar with some analytics…… Continue reading Personas for our forthcoming book, “Understanding Audiences, Customers, and Users via Analytics”
Understanding Audiences, Customers, and Users via Analytics – Table of Contents
Here is the Table of Content for our book on Audiences, Customers, and Users Analytics! As you can see, the book addresses the major areas of analytics for audiences, customers, and users! Part I Introduction to Analytics1 The Foundations of Web Analytics . . . . . . . . . . . . .…… Continue reading Understanding Audiences, Customers, and Users via Analytics – Table of Contents
Understanding Audiences, Customers, and Users via Analytics – An Introduction to the Employment of Web, Social, and Other Types of Digital People Data
I am so excited to share the announcement of our forthcoming book with you! This book presents the foundations of using analytics from the laboratory, social media platforms, and the Web. Topics covered include analytics strategy, data gathering approaches, data preprocessing, data quality assessment, analytical methods, tools, and validation methods. Separate chapters explain Web Analytics,…… Continue reading Understanding Audiences, Customers, and Users via Analytics – An Introduction to the Employment of Web, Social, and Other Types of Digital People Data
Analytics Systems are Sporadic Use but Constant Collection
Analytics systems are information services that are used to analyze and interpret data to gain insights, identify patterns, and support decision-making processes. Analytics systems are one of the unique information services that are a combination of sporadic use but require constant data collection. Sporadic or occasional use information systems are information services that are used…… Continue reading Analytics Systems are Sporadic Use but Constant Collection
Will They Take This Offer? A Machine Learning Price Elasticity Model for Predicting Upselling Acceptance of Premium Airline Seating
Employing customer information from one of the world’s largest airline companies, we develop a price elasticity model (PREM) using machine learning to identify customers likely to purchase an upgrade offer from economy to premium class and predict a customer’s acceptable price range. A simulation of 64.3 million flight bookings and 14.1 million email offers over three years…… Continue reading Will They Take This Offer? A Machine Learning Price Elasticity Model for Predicting Upselling Acceptance of Premium Airline Seating
Core Elements of a Web Analytics Process
Here is a description of a web analytics process with just the core stages. The core of a Web analytics process consists of four essential stages, shown below. Collecting data: At this stage, you collect the basic, elementary data. Typically, these data are counts of things or events. Processing of data into information: At this…… Continue reading Core Elements of a Web Analytics Process
Big Data Fallacy
Big Data Fallacy. The law of large numbers argues that the sample’s mean approaches the sample population’s actual average as a sample size increases. This concept is often, either implicitly or explicitly, taken as a justification as to why ‘big data’ (i.e., millions or billions of samples) cannot be wrong. However, there are contrary arguments and…… Continue reading Big Data Fallacy
Flaw of Averages
When working with numbers representing many people, one often employs the average to describe the people represented by the numbers. However, this approach can lead to serious problems due to the flaw of averages, which is that findings based on the average are wrong on average. In fact, often when dealing with people, the average person…… Continue reading Flaw of Averages