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Web and mobile analytics
Published in Catherine Dawson, A–Z of Digital Research Methods, 2019
Web analytics refers to the collection, analysis and reporting of web data for research and/or development. It enables researchers, developers and organisations to understand user behaviour within and across webpages; create, maintain and improve websites; and optimise usage. Mobile analytics (or mobile web analytics) refers to the collection, analysis and reporting of data generated by mobile platforms such as mobile sites and mobile apps, again, for research, development and/or optimisation. Web and mobile analytics enable researchers to collect and analyse information about web behaviour, search behaviour, website or app journey, visitor engagement and location, for example. The two methods use similar tools and techniques and have, therefore, been combined in this chapter to avoid repetition. Web and mobile analytics are covered by the umbrella term of data analytics (Chapter 10) and can be seen to be part of big data analytics (Chapter 3). They can also be used within, and to complement, business analytics (Chapter 4), social media analytics (Chapter 52), HR analytics (Chapter 22) and learning analytics (Chapter 24).
Information Fusion
Published in Hassen Fourati, Krzysztof Iniewski, Multisensor Data Fusion, 2016
There are also other types of analytics. (1) Web analytics is Internet usage data for purposes of understanding and optimizing Web usage and business and market research. (2) Image analytics uses real-world videos and images to extract information with machine performance comparable to that of humans. (3) Cross-lingual text analytics has contents in multiple languages that enable a system to discover and maximize the value of information within large quantities of text (open-source or internal). The growing trend in analytics serves at DF/DM for both autonomy (machine) and automation (machine to user).
Investigating the themes in supply chain finance: the emergence of blockchain as a disruptive technology
Published in International Journal of Production Research, 2022
Berk Kucukaltan, Rifat Kamasak, Baris Yalcinkaya, Zahir Irani
This study adopts a web analytics approach. Web analytics refers to ‘a tool that collects clickstream data regarding the source of website traffic, navigation paths, and the behaviour of visitors during their website visits and that presents the data in a meaningful format’ (Järvinen and Karjaluoto 2015, 117). Web analytics is mainly used to track the behaviours of web users through querying combined sets of keywords selected by researchers (Nakatani and Chuang 2011). This study examines how blockchain technologies are utilised in finance-related supply chain operations by encapsulating what searches, applications, and word pairs are employed in this connection.
Achieving Industry-aligned Education through Digital-Commons: A Case Study
Published in Journal of Computer Information Systems, 2023
Muralidharan Ramakrishnan, Shirley Gregor, Anup Shrestha, Jeffrey Soar
Web analytics tools enable businesses to monitor visitor profiles and behaviors.59,60 For monitoring the performance of the IPDC, we integrated Google Analytics, which is a service offered by Google that generates detailed statistics about the visits to a website.59 This tracking application, external to the website, records traffic by inserting a small piece of code into every page of the website. Google Analytics provides insights about the visitors’ geographical location, browsers, referral source, the pages visited and behavior statistics. The dashboard for the IPDC is shown in Figure 7.