Day: March 29, 2023

The following is the Preface from our forthcoming book, Understanding Audiences, Customers, and Users via Analytics. The use of web, user, and social media analytics world has grown exponentially. Companies and individuals are using web and social media data to inform their business decisions and better understand their audience base. This book introduces the world…… Continue reading Preface from our forthcoming book, Understanding Audiences, Customers, and Users via Analytics

A Discussion of the Validity of Data Analytics chapter from our forthcoming book, Understanding Audiences, Customers, and Users via Analytics, covers the following. Validity is often understood as the “correctness” of a method or instrument. However, many data collection issues can degrade the validity of findings about people. Data validity is also a crucial issue…… Continue reading A Discussion of the Validity of Data Analytics

The Website Analytics chapter from our forthcoming book, Understanding Audiences, Customers, and Users via Analytics, covers the following. This chapter presents the process of web analytics for web platforms, web systems, and web apps. The process outlines how basic visitor information, such as the number of visitors and visit duration, can be collected using log…… Continue reading Website Analytics

The User Study Analytics chapter from our forthcoming book, Understanding Audiences, Customers, and Users via Analytics, covers the following. User studies, involving both qualitative and quantitative data about user experiences, can complement and contextualize the insights and data afforded by web and social media analytics, providing an extension to these analytics areas, which we refer…… Continue reading User Study Analytics

The Persona Analytics chapter from our forthcoming book, Understanding Audiences, Customers, and Users via Analytics, covers the following. Personas represent distinct user or customer groups in design, human-computer interaction, and marketing. Persona analytics refers to creating data-driven personas, often employing data science and machine learning algorithms, to address customer analytics use cases. Through persona analytics,…… Continue reading Persona Analytics

The Search Analytics chapter from our forthcoming book, Understanding Audiences, Customers, and Users via Analytics, covers the following. Search log analytics is a particular case of analytics that analyzes data from search logs. Using data stored in search logs of online search engines, Intranets search services, and online search sites can provide essential insights into…… Continue reading Search Analytics

The Social Media Analytics chapter from our forthcoming book, Understanding Audiences, Customers, and Users via Analytics, covers the following. Social media platforms are powerful for businesses to gain insight into how their customers feel about their company, product, or service. This chapter discusses the different types of social media analytics methods available to businesses to…… Continue reading Social Media Analytics

The Data Preprocessing chapter from our forthcoming book, Understanding Audiences, Customers, and Users via Analytics, covers the following. This chapter provides a comprehensive overview of data preprocessing techniques and tools in the context of web and social media analytics. As data volume and complexity from various sources grow, effective data preprocessing becomes crucial for extracting…… Continue reading Data Preprocessing

The Data Quality Assessment chapter from our forthcoming book, Understanding Audiences, Customers, and Users via Analytics, covers the following. This chapter explores data quality assessment in data analytics. Emphasis is placed on the importance of ensuring you have high-quality data for effective decision making and successful outcomes in data analytics. Various aspects of data quality,…… Continue reading Data Quality Assessment

The chapter Data Collection Methods from our forthcoming book, Understanding Audiences, Customers, and Users via Analytics, covers the following. This chapter provides an overview of the following data-gathering methods: online surveys, crowdsourcing, eye tracking, mouse tracking, search logs, triangulation, and social media APIs. This information is essential for anyone interested in understanding the methods and…… Continue reading Data Collection Methods