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Journal articles on the topic 'Google Analytics'

Author: Grafiati

Published: 4 June 2021

Last updated: 24 January 2023

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1

Galbraith, Susanna. "Google Analytics." Journal of the Canadian Health Libraries Association / Journal de l'Association des bibliothèques de la santé du Canada 34, no. 2 (July 21, 2014): 119. http://dx.doi.org/10.5596/c13-022.

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McMullen, Anthony. "Google Analytics http://www.google.com/analytics/." Public Services Quarterly 6, no. 1 (February 8, 2010): 21–22. http://dx.doi.org/10.1080/15228950903517415.

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Ertel, Sebastian, and Sven Venzke-Caprarese. "Google Universal Analytics." Datenschutz und Datensicherheit - DuD 38, no. 3 (March 2014): 181–85. http://dx.doi.org/10.1007/s11623-014-0072-2.

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Reiter, Miroslav, Ondrej Čupka, and Andrej Miklošík. "Personas creation using Google Analytics." Marketing Science & Inspirations 16, no. 4 (December 30, 2021): 26–33. http://dx.doi.org/10.46286/msi.2021.16.4.4.

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This case study investigates how a marketing persona may be created with the use of data gathered by cookies and with the use of Google Analytics. The data gathered originates from the largest IT e-learning platform VITA. The basis of our research was measurement in the Google Analytics tool and the WooCommerce plug-in within the WordPress content management system. Our case study shows how a marketing persona may be created and recommends that once such a persona is created it needs to be validated repeatedly with data on real customers before it may be used for marketing purposes.

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Hansen, Marit. "Google Analytics auf dem Prüfstand." Datenschutz und Datensicherheit - DuD 32, no. 8 (August 2008): 506. http://dx.doi.org/10.1007/s11623-008-0120-x.

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Синякин, Николай. "Модели атрибуции в счетчиках Google Analytics и «Яндекс.Метрика»." Интернет-маркетинг 1 (2020): 2–14. http://dx.doi.org/10.36627/2619-1369-2020-1-1-2-14.

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Purnaningrum, Evita, and Ihdina Ariqoh2. "GOOGLE TRENDS ANALYTICS DALAM BIDANG PARIWISATA." Majalah Ekonomi 24, no. 2 (December 9, 2019): 232–43. http://dx.doi.org/10.36456/majeko.vol24.no2.a2069.

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Perkembangan era ke arah digital berakibat terdapatnya berbagai jenis data yang beragam mulai dari text, photo, video, music, postingan di sosial media dan memiliki karakteristik 4V (Volume, Velocity, Variety, Veracity) yang dikenal dengan nama Big Data. Data tersebut dapat digunakan sebagai data penelitian yang dapat meningkatkan tingkat keakurasian dalam menyelesaikan suatu permasalahan. Salah satu big data sederhana yaitu google trends yang dapat digunakan sebagai prediksi maupun kebijakan lainnya. Penelitian ini mengkaji pemanfaatan google trends dalam bidang pariwisata. Hasil dari penelitian ini adalah penelitian mengenai google trends dan pariwisata mengalami tren naik, dan sebagian besar analisis yang digunakan untuk google trends adalah prediksi. Indonesia menjadi dua puluh besar negara yang mencari istilah google trends pada mesin penulusarn web Google, namun masih jarang yang menggunakannya sebagai data penelitian, bahkan untuk pariwisata belum terdapat penelitian yang menggunakan google trends. Untuk itu, penelitian ini dapat dijadikan rujukan informasi pertama dalam pencarian google trends di bidang pariwisata.

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van Kogelenberg, Leon. "Google Analytics: wie bezoekt je site?" PodoPost 31, no. 2 (March 2018): 44–45. http://dx.doi.org/10.1007/s12480-018-0026-6.

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Plaza, Beatriz. "Google Analytics for measuring website performance." Tourism Management 32, no. 3 (June 2011): 477–81. http://dx.doi.org/10.1016/j.tourman.2010.03.015.

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Gunter, Ulrich, and Irem Önder. "Forecasting city arrivals with Google Analytics." Annals of Tourism Research 61 (November 2016): 199–212. http://dx.doi.org/10.1016/j.annals.2016.10.007.

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Ma, Hong. "Tech Services on the Web: Google Analytics http://www.google.com/analytics/." Technical Services Quarterly 30, no. 1 (January 2013): 119–20. http://dx.doi.org/10.1080/07317131.2013.735978.

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Noeraida, Heru Tamtomo, and Anggiana Rohandi Yusuf. "Analisis website perpustakaan digital kenukliran menggunakan goolge search console dan google analytics." Jurnal Pustakawan Indonesia 21, no. 1 (June 30, 2022): 46–57. http://dx.doi.org/10.29244/jpi.21.1.46-57.

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Pendahuluan. Website perpustakaan digital saat ini paling banyak digunakan untuk mencari informasi dan literatur yang dibutuhkan, karena lebih mudah diakses dan tidak dibatasi oleh ruang dan waktu. Agar pengunjung website meningkat secara optimal, harus dilakukan evaluasi dengan menganalisis performa dan karekteristik pengunjung website. Tujuan penelitian adalah untuk menganalisis performa website dan karakteristik pengunjung perpustakaan digital bidang kenukliran pada mesin pencari Google. Metode penelitian. Peneilitain ini menggunakan metode deskriptif. Populasi penelitian adalah pengunjung website pada situs https://digilib.batan.go.id/ sejak bulan Maret-Desember 2021 sebanyak 3.293 orang. Teknik pengumpulan data mengambil data sekunder yang sudah matang dari Google Seacrch Concole (GSC) dan Google Analytic (GA). Hasil dan pembahasan. Hasil penelitian menunjukkan performa website pada mesin pencari rata-rata 10,6. Pencarian berdasarkan kata kunci paling tinggi adalah dosimetri 295 kali. Halaman teratas yang paling banyak di klik adalah artikel yang diterbitkan pada prosiding. Indonesia adalah negara yang paling banyak tayang dari 227 negara. Karakteristik pengunjung website mengalami peningkatan dengan total jumlah 3.923 pengunjung. Demografi pengunjung website berdasarkan negara, Indonesia menduduki posisi tertinggi. Adapun berdasarkan kota, dari 217 kota yang tertinggi adalah Jakarta sebanyak 690 orang. Penggunaan browser tertinggi adalah chrome sebesar 81,21%, sistem operasi windows 75,84% dan perangkat desktop sebesar 82,21%. Kesimpulan. Performa website mengalami peningkatan setelah ditambahkan GSC pada situs perpustakaan digital kenukliran. Demikian pula karekteristik pengunjung website dari data GA mengalami peningkatan, namun terjadi penurunan pada bulan berikutnya. Agar jumlah pengunjung senantiasa meningkat, maka konten website harus selalu bertambah.

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Barba, Ian, Ryan Cassidy, Esther De Leon, and B. Justin Williams. "Web Analytics Reveal User Behavior: TTU Libraries’ Experience with Google Analytics." Journal of Web Librarianship 7, no. 4 (October 2013): 389–400. http://dx.doi.org/10.1080/19322909.2013.828991.

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Jansen, Bernard J., Soon-gyo Jung, and Joni Salminen. "Measuring user interactions with websites: A comparison of two industry standard analytics approaches using data of 86 websites." PLOS ONE 17, no. 5 (May 27, 2022): e0268212. http://dx.doi.org/10.1371/journal.pone.0268212.

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This research compares four standard analytics metrics from Google Analytics with SimilarWeb using one year’s average monthly data for 86 websites from 26 countries and 19 industry verticals. The results show statistically significant differences between the two services for total visits, unique visitors, bounce rates, and average session duration. Using Google Analytics as the baseline, SimilarWeb average values were 19.4% lower for total visits, 38.7% lower for unique visitors, 25.2% higher for bounce rate, and 56.2% higher for session duration. The website rankings between SimilarWeb and Google Analytics for all metrics are significantly correlated, especially for total visits and unique visitors. The accuracy/inaccuracy of the metrics from both services is discussed from the vantage of the data collection methods employed. In the absence of a gold standard, combining the two services is a reasonable approach, with Google Analytics for onsite and SimilarWeb for network metrics. Finally, the differences between SimilarWeb and Google Analytics measures are systematic, so with Google Analytics metrics from a known site, one can reasonably generate the Google Analytics metrics for related sites based on the SimilarWeb values. The implications are that SimilarWeb provides conservative analytics in terms of visits and visitors relative to those of Google Analytics, and both tools can be utilized in a complementary fashion in situations where site analytics is not available for competitive intelligence and benchmarking analysis.

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Shrivastava, Shweta, Kritika Nagdev, and Anupama Rajesh. "Redefining HR using people analytics: the case of Google." Human Resource Management International Digest 26, no. 2 (March 12, 2018): 3–6. http://dx.doi.org/10.1108/hrmid-06-2017-0112.

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Purpose This paper aims to highlight the importance of analytics and its advantages in the human resource domain using the example of Google, which has extensively used analytics to improve various aspects of people management. Design/methodology/approach The paper discusses human resource analytics and illustrates how it has been successfully implemented by Google to enable better decision-making. Findings Implementation of analytics in the area of human resources can make people-related decision-making objective, transparent and data-driven and, thus, make the function “quantitative” in nature. Originality/value Although analytics has been widely implemented in functions such as finance and marketing, it is yet to gain a strong foothold in the domain of human resources. This paper discusses how Google, a leading organization in the field of technology, has been able to take impactful people-related decisions with the help of analytics.

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ŞİMŞEK, Güntekin. "Google Analytics And Its Applications In Tourism Industry." Gastroia: Journal of Gastronomy And Travel Research 4, no. 2 (October 30, 2020): 287–99. http://dx.doi.org/10.32958/gastoria.818295.

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Егорова, Ирина Николаевна, and Олеся Николаевна Кадушкевич. "Method for effective usage of Google Analytics tools." ScienceRise 1, no. 2 (18) (January 25, 2016): 40. http://dx.doi.org/10.15587/2313-8416.2016.58765.

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Jampala, Teja Krishna. "Big Data Analytics in Healthcare using Google Cloud." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (July 31, 2022): 1159–62. http://dx.doi.org/10.22214/ijraset.2022.45467.

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Abstract: The health care domain has undergone transformational change in the 21st century. The integration of new kinds of digital technologies has been acting as a catalyst. Big Data Analytics serves as a promising technology that has considerably changed how diverse functions are carried out in the health care discipline. It encompasses the integration as well as analysis of a humongous volume of data such as electronic health records, biomedical data and omics data [1]. The emphasis of the research is on Google Cloud and how it has been contributing to the health domain by evolving the health care paradigm and progressing research at scale and empowering diverse stakeholders to transform and innovate

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Plaza, Beatriz. "Monitoring web traffic source effectiveness with Google Analytics." Aslib Proceedings 61, no. 5 (September 18, 2009): 474–82. http://dx.doi.org/10.1108/00012530910989625.

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Natasuwarna, Amar P. "Workshop of Web Analytics and Google My Business as Digital Marketing Tools." JUDIMAS 1, no. 1 (January 15, 2021): 50. http://dx.doi.org/10.30700/jm.v1i1.996.

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<p> Web analytics can raise online sales. Businesspeople take advantage provided by the Google platform named Google My Business to promote their products online. As part of the implementation of Community Service, a workshop was held in collaboration with SMK Negeri 5 Pontianak on the use of web analytics and Google My Business. The participants took part were 30 students of the Culinary Art Department. This workshop was seized to increase students’ knowledge and skills in using web analytics tools and Google My Business so that they who were already in business be able to utilize these skills on online selling. Web analytics -including the two most popular tools used by businesses, namely Ubersuggest and Google Trends- were introduced. During the introduction of Google My Business, students directly practiced the online registration and feature introduction. A questionnaire was used to find out the attainment of knowledge. The results showed an increase in students’ knowledge in the important terms of Ubersuggest, Google Trends, and Google My Business. Moreover, students are expecting to develop their learning in using web analytics and Google My Business after practicing what has been learned in this workshop. Supposing they run digital marketing, this knowledge is worth accelerating sales performance, as well as escalating visitor traffic of the student’s fan page. </p>

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Song, Michael Jae, John Ward, Fiona Choi, Mohammadali Nikoo, Anastasia Frank, Farhud Shams, Katarina Tabi, Daniel Vigo, and Michael Krausz. "A Process Evaluation of a Web-Based Mental Health Portal (WalkAlong) Using Google Analytics." JMIR Mental Health 5, no. 3 (August 20, 2018): e50. http://dx.doi.org/10.2196/mental.8594.

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Background Despite the increasing amount of research on Web-based mental health interventions with proven efficacy, high attrition rates decrease their effectiveness. Continued process evaluations should be performed to maximize the target population’s engagement. Google Analytics has been used to evaluate various health-related Web-based programs and may also be useful for Web-based mental health programs. Objective The objective of our study was to evaluate WalkAlong.ca, a youth-oriented mental health web-portal, using Google Analytics to inform the improvement strategy for the platform and to demonstrate the use of Google Analytics as a tool for process evaluation of Web-based mental health interventions. Methods Google Analytics was used to monitor user activity during WalkAlong’s first year of operation (Nov 13, 2013-Nov 13, 2014). Selected Google Analytic variables were overall website engagement including pages visited per session, utilization rate of specific features, and user access mode and location. Results The results included data from 3076 users viewing 29,299 pages. Users spent less average time on Mindsteps (0 minute 35 seconds) and self-exercises (1 minute 08 seconds), which are important self-help tools, compared with that on the Screener tool (3 minutes 4 seconds). Of all visitors, 82.3% (4378/5318) were desktop users, followed by 12.7 % (677/5318) mobile phone and 5.0% (263/5318) tablet users. Both direct traffic (access via URL) and referrals by email had more than 7 pages viewed per session and longer than average time of 6 minutes per session. The majority of users (67%) accessed the platform from Canada. Conclusions Engagement and feature utilization rates are higher among people who receive personal invitations to visit the site. Low utilization rates with specific features offer a starting place for further exploration of users in order to identify the root cause. The data provided by Google Analytics, although informative, can be supplemented by other evaluation methods (ie, qualitative methods) in order to better determine the modifications required to improve user engagement. Google Analytics can play a vital role in highlighting the preferences of those using Web-based mental health tools.

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Sharma, Manu, and Sudhanshu Joshi. "Online Advertisement Using Web Analytics Software." International Journal of Business Analytics 7, no. 2 (April 2020): 13–33. http://dx.doi.org/10.4018/ijban.2020040102.

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This article describes a analytic-hierarchy-process (AHP) application to identify and evaluate the best online advertising analytics software. This technique is multi-criteria and used in this study by comparing the top four web advertising analytics software. AHP uses pair-wise comparison of matrices. There are six criteria identified for evaluation: Ad scheduling, ad targeting, creative banner rotation, features, performance, cost and for each criterion, a matrix of pair-wise comparison with web-analytics software i.e. Google analytics, Accenture Analytics, Funnel and, Moat Analytics were evaluated. AHP is an effective method for multi-objective decision-making, and optimization. Thus, it helps web advertisers to evaluate the existing web advertising analytics software for posting their web advertisements.

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Soroko, N. V., and M. A. Shynenko. "Monitoring electronic educational and scientific resources using Google Analytics." CTE Workshop Proceedings 1 (March 21, 2013): 95–96. http://dx.doi.org/10.55056/cte.144.

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Currently, many scientific resources are created electronically. Such resources include: documents; electronic publications; electronic catalogs; pictures and images in different formats; audio, video, animation; digital maps and cartographic materials; computer programs, etc. It becomes important to analyze their relevance and the need for the development of science and education. Therefore, the problem of monitoring these resources arises.Google Analytics is a product of Google, which is part of the services called "cloud computing" (Cloud Computing).Cloud Computing is a data processing technology in which a software tool is provided to the user as an Internet service. For example, Google Analytics is a free service offered to create detailed statistics of website visitors.

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O’Brien, Patrick, Scott W.H. Young, Kenning Arlitsch, and Karl Benedict. "Protecting privacy on the web." Online Information Review 42, no. 6 (October 8, 2018): 734–51. http://dx.doi.org/10.1108/oir-02-2018-0056.

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Purpose The purpose of this paper is to examine the extent to which HTTPS encryption and Google Analytics services have been implemented on academic library websites, and discuss the privacy implications of free services that introduce web tracking of users. Design/methodology/approach The home pages of 279 academic libraries were analyzed for the presence of HTTPS, Google Analytics services and privacy-protection features. Findings Results indicate that HTTPS implementation on library websites is not widespread, and many libraries continue to offer non-secured connections without an automatically enforced redirect to a secure connection. Furthermore, a large majority of library websites included in the study have implemented Google Analytics and/or Google Tag Manager, yet only very few connect securely to Google via HTTPS or have implemented Google Analytics IP anonymization. Practical implications Librarians are encouraged to increase awareness of this issue and take concerted and coherent action across five interrelated areas: implementing secure web protocols (HTTPS), user education, privacy policies, informed consent and risk/benefit analyses. Originality/value Third-party tracking of users is prevalent across the web, and yet few studies demonstrate its extent and consequences for academic library websites.

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Meng, Juan, Yan Jin, Yen-I. Lee, and Solyee Kim. "Can Google Analytics Certification Cultivate PR Students’ Competency in Digital Analytics? A Longitudinal Pedagogical Research." Journalism & Mass Communication Educator 74, no. 4 (December 29, 2018): 388–406. http://dx.doi.org/10.1177/1077695818816916.

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This longitudinal pedagogical research investigates students’ perceptions and learning outcomes by integrating web and social analytics–based learning activities (i.e., Google Analytics courses and certification test) into Public Relations Research course design. Results from the pretest before introducing the analytics learning assignment confirmed that students’ knowledge on web and social analytics is low but their desire to learn is high. Results from the posttest after passing the certification test indicated students are eager to have more experience-based learning activities to apply knowledge related to web and social analytics in public relations research and practice. More pedagogical recommendations are discussed.

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OBrien, Patrick, Kenning Arlitsch, Jeff Mixter, Jonathan Wheeler, and Leila Belle Sterman. "RAMP – the Repository Analytics and Metrics Portal." Library Hi Tech 35, no. 1 (March 20, 2017): 144–58. http://dx.doi.org/10.1108/lht-11-2016-0122.

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Purpose The purpose of this paper is to present data that begin to detail the deficiencies of log file analytics reporting methods that are commonly built into institutional repository (IR) platforms. The authors propose a new method for collecting and reporting IR item download metrics. This paper introduces a web service prototype that captures activity that current analytics methods are likely to either miss or over-report. Design/methodology/approach Data were extracted from DSpace Solr logs of an IR and were cross-referenced with Google Analytics and Google Search Console data to directly compare Citable Content Downloads recorded by each method. Findings This study provides evidence that log file analytics data appear to grossly over-report due to traffic from robots that are difficult to identify and screen. The study also introduces a proof-of-concept prototype that makes the research method easily accessible to IR managers who seek accurate counts of Citable Content Downloads. Research limitations/implications The method described in this paper does not account for direct access to Citable Content Downloads that originate outside Google Search properties. Originality/value This paper proposes that IR managers adopt a new reporting framework that classifies IR page views and download activity into three categories that communicate metrics about user activity related to the research process. It also proposes that IR managers rely on a hybrid of existing Google Services to improve reporting of Citable Content Downloads and offers a prototype web service where IR managers can test results for their repositories.

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Irwansyah, M. Azhar, Haried Novriando, and Rendi Apriandi. "Analisis User Experience Aplikasi Bujang Kurir Menggunakan Google Analytics(GA)." Jurnal Edukasi dan Penelitian Informatika (JEPIN) 7, no. 1 (April 18, 2021): 64. http://dx.doi.org/10.26418/jp.v7i1.43588.

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User experience menjadi satu faktor penting ketika pengguna menggunakan suatu teknologi. Menurut studi yang dilakukan oleh Oracle terhadap 1.342 senior eksekutif Amerika Utara, Eropa, Asia Pasifik dan Amerika latin, 97% responden menyetujui bahwa user experience adalah hal yang kruasial bagi profitabilitas perusahaan yang gagal memberikan user experience yang prima hingga 20% dan 89% mengatakan bahwa user experience yang buruk membuat konsumen beralih ke kompetitor. Salah satu tool yang bisa digunakan membantu menganalisis prilaku konsumen adalah Google Analytics. Dengan menggunakan Google Analytics dapat membantu untuk mengembangkan perancangan desain user experience khususnya “Aplikasi Bujang Kurir”. Aplikasi Bujang Kurir adalah sebuah aplikasi mobile pesan-antar pribadi (Personal Delivery Order Service) yang beroperasi di Kota Pontianak dan sekitarnya. Hasil desain diuji menggunakan User Experience Questionnaire (UEQ), dan mendapat nilai sebagai berikut : Daya Tarik 1.52, Kejelasan 1.57, Efisiensi 1.54, Ketepatan 1.18, Stimulasi 1.36, dan Kebaruan 0.95. Dengan hasil uji UEQ Aplikasi Bujang Kurir tersebut, maka perancangan desain User Experience sudah layak untuk diterapkan ke dalam aplikasi. Dan Pengujian reliabilitas UEQ dengan menggunakan Cronbach Alfha seluruh aspek lebih dari 0,60 yang berarti UEQ Reliebel atau Konsisten.

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Lusher, T. J. "A Review of “Maximizing Google Analytics: Six High Impact Practices”." Journal of Electronic Resources Librarianship 26, no. 1 (January 2014): 83. http://dx.doi.org/10.1080/1941126x.2014.879022.

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Yeager, H. Jamane. "Using EZproxy and Google Analytics to Evaluate Electronic Serials Usage." Serials Review 43, no. 3-4 (October 2, 2017): 208–15. http://dx.doi.org/10.1080/00987913.2017.1350312.

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Yang, Le, and Joy M. Perrin. "Tutorials on Google Analytics: How to Craft a Web Analytics Report for a Library Web Site." Journal of Web Librarianship 8, no. 4 (August 30, 2014): 404–17. http://dx.doi.org/10.1080/19322909.2014.944296.

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Іванова, Світлана, and Алла Кільченко. "Моніторинг використання вебсайтів закладів освіти та наукових установ із мобільних пристроїв засобами Google Analytics." New pedagogical thought 103, no. 3 (December 15, 2020): 41–47. http://dx.doi.org/10.37026/2520-6427-2020-103-3-41-47.

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У статті досліджено процедуру моніторингу використання вебсайтів закладів освіти та наукових установ із мобільних пристроїв за допомогою системи Google Analytics на прикладі вебресурсу електронної бібліотеки НАПН України. Проаналізовано процеси відвідування та використання цього сайту для з’ясування потреб і мотивації користувачів з метою підвищення ефективності обслуговування, поліпшення контент-наповнення та збільшення його відвідуваності. Розглянуто використання сервісу Google Analytics як інструмента для збору, опрацювання та аналізу статистичних показників наукових та освітніх вебсайтів задля поліпшення їх роботи.

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Amin Omidvar, Mohammad, Vahid Reza Mirabi, and Narjes Shokry. "Analyzing the Impact of Visitors on Page Views with Google Analytics." International journal of Web & Semantic Technology 2, no. 1 (January 31, 2011): 14–32. http://dx.doi.org/10.5121/ijwest.2011.2102.

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Jones, Timothy, David Baxter, Gregor Hagedorn, Ben Legler, Edward Gilbert, Kevin Thiele, Yalma Vargas-Rodriguez, and Lowell Urbatsch. "Trends in access of plant biodiversity data revealed by Google Analytics." Biodiversity Data Journal 2 (November 11, 2014): e1558. http://dx.doi.org/10.3897/bdj.2.e1558.

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Jaddoa Jasim, Hend, Shaima Hussein Alwan, Ahmed Al-Imam, Huda Adnan Hussein, and Ali Kamil Al-Shalchy. "SARS-CoV-2 and pediatric encephalopathy: Google analytics and predictive modeling." Asian Journal of Medical Sciences 12, no. 11 (November 1, 2021): 29–34. http://dx.doi.org/10.3126/ajms.v12i11.39093.

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Background: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is rare in children and possesses distinctive clinical features. Aims and Objectives: The primary objective is to bring clinicians,’ researchers,’ and epidemiologists’ attention to pediatric encephalopathy as part of the clinical manifestations of SARS-CoV-2 in children. Materials and Methods: Google analytics aimed to explore the spatial-temporal (geographic-chronological) mapping of SARS-CoV-2 in conjunction with pediatric encephalopathy and encephalitis. We retrieved longitudinal data from Google Trends, for one year starting from December 2019, by deploying five search topics; “SARS-CoV-2,” “Coronavirus disease 2019, COVID-19” “Pediatric Encephalopathy,” “Pediatric Encephalitis,” and “Encephalitis in Children.” Results: Spatio-temporal mapping was most conclusive for “COVID-19” and “Severe acute respiratory syndrome coronavirus 2.” Internet users were least interested in topics related to pediatric encephalopathy and encephalitis in children; potentially, reflecting the rarity of these entities in SARS-CoV-2 infections in children. We are also reporting a case of atypical SARS-CoV-2 in an 8-year-old child, in which pediatric encephalopathy occurred in a PCR-confirmed COVID-19 case. Conclusion: Google analytics reconciled with the case report. SARS-CoV-2 in children may present with neurological rather than respiratory manifestations, which is atypical and rare. We are conveying two key messages; (1) pediatricians can collaborate with data scientists to realize evidence-based pediatric medicine and (2) digital data are worthy of exploration to guide subsequent rigor research, including randomized controlled trials and meta-analytics.

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Chandler, Adam, and Melissa Wallace. "Using Piwik Instead of Google Analytics at the Cornell University Library." Serials Librarian 71, no. 3-4 (November 16, 2016): 173–79. http://dx.doi.org/10.1080/0361526x.2016.1245645.

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Turner, Steven J. "Website Statistics 2.0: Using Google Analytics to Measure Library Website Effectiveness." Technical Services Quarterly 27, no. 3 (May 28, 2010): 261–78. http://dx.doi.org/10.1080/07317131003765910.

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Mc Guckin, Conor, and Niall Crowley. "Using Google Analytics to Evaluate the Impact of the CyberTraining Project." Cyberpsychology, Behavior, and Social Networking 15, no. 11 (November 2012): 625–29. http://dx.doi.org/10.1089/cyber.2011.0460.

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Katuu, Shadrack. "The Mandela Portal – an assessment of global visitors using Web analytics." Digital Library Perspectives 32, no. 4 (November 14, 2016): 270–86. http://dx.doi.org/10.1108/dlp-01-2016-0002.

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Purpose This paper aims to perform a longitudinal assessment of the visitors to the Mandela Portal using Web analytics over a period of seven years, between 2009 and 2015. Design/methodology/approach This paper is based on Web analytics methodology that consists of a four-step process and utilises the first and second steps with data collected using Google Analytics. Findings The research process found a number of trends relating to the Portal’s visitors, including changes in the ranking of countries from which the visitors accessed the website as well as the variety of language settings in the Web browsers. It identified some issues both with the Google Analytics tool and broader implications on the trustworthiness of data. Originality/value This paper provides an analysis of Web visitors to the Mandela Portal, offering trends that are only possible when viewed over a long period. It also explores issues of data trustworthiness.

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Othman, Shuhadah, Rukhiyah Adnan, Mohamed Ghazali Khairuzzaman, and Noraini Ismail. "ANALYZING USER BEHAVIOUR AND PAGE VIEWS BASED ON VISITOR TRAFFIC IN KOLEJ UNIVERSITI POLY-TECH MARA WEBSITE USING GOOGLE ANALYTIC." MALAYSIAN JOURNAL OF COMPUTING 5, no. 1 (May 29, 2020): 446. http://dx.doi.org/10.24191/mjoc.v5i1.8387.

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The approach of the Internet has affected organizations in numerous features. The website has become an integral part of the organizations, from publicizing the organization's profile to giving web services. This study is to evaluate and analyze user behaviour pattern at Kolej Universiti Poly-Tech MARA (KUPTM) website using Google Analytics (GA) as one of the web analytic tools. Website design and its services have become a crucial part for Higher Education Institutions (HEIs) to attract users in visiting their website. Therefore, the use of web analytic tools can be an effective solution in measuring, analyzing and identifying the traffic sources for a website. Google tag was added to all KUPTM’s website and the measurement periods has been done between May 2019 and October 2019. Results have shown that the number of visitors is significantly higher during the weekdays and are affected by external stimulus. An external stimulus, such as promotional activities would increase the number of website visitors. The visit trends show weekly fluctuation in the numbers. It records high numbers of visits during the weekdays and fewer visitors during the weekend. The fluctuation could be due to the number of visits were from internal users, i.e. KUPTM employees and students. The capability of Google Analytics to analyze website traffics in terms of collecting data regarding page views, user interaction flow and visitor behaviour will benefit the organization for making a decision.

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Herrera, Gail. "Google Scholar Users and User Behaviors: An Exploratory Study." College & Research Libraries 72, no. 4 (July 1, 2011): 316–30. http://dx.doi.org/10.5860/crl-125rl.

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The University of Mississippi Library created a profile to provide linking from Google Scholar (GS) to library resources in 2005. Although Google Scholar does not provide usage statistics for institutions, use of Google Scholar is clearly evident in looking at library link resolver logs. The purpose of this project is to examine users of Google Scholar with existing data from interlibrary loan transactions and library Web site click-through logs and analytics. Questions about user status and discipline, as well as behaviors related to use of other library resources, are explored.

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Gideon, Samuel, and Abdul Azis Rahmansyah. "Implementasi Pembelajaran Sinkronus pada Mata Kuliah Fisika 1 Menggunakan Discord Dipadukan dengan Google Jamboard dan Powerpoint." Physics Education Research Journal 3, no. 1 (February 28, 2021): 1–10. http://dx.doi.org/10.21580/perj.2021.3.1.6570.

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COVID-19 virus have affected educational activities to be carried out through e-learning. Discord and Google Jamboard offer advantages in delivering synchronous e-learning. The purpose of this research is to implement e-learning of Physics 1 course using Discord integrated with Google Jamboard and Powerpoint. In this research, we used qualitative-descriptive method which conducted in several steps, i.e: (1) Discord installation and Physics 1 Class preparation; (2) Virtual Tablet Server installation and its testing for mobile phone; (3) Learning materials preparation in Powerpoint; (4) Implementation of Physics 1 Class using Discord integrated with Google Jamboard and Powerpoint; (5) Evaluation of the results and (6) Surveying of student’s opinion about e-learning using using Discord integrated with Google Jamboard and Powerpoint. Discord can be used as an alternative e-learning tool because of its practical use as well as more powerful when integrated with Google Jamboard and Powerpoint, especially for mathematical-analytics subject such as Physics. This is supported by the results of a survey in which 34 out of 39 students said they wanted to use Discord and Google Jamboard for other mathematical-analytics subjects.

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Akbar, Yopi Hidayatul. "Implementasi Teknik Remarketing Menggunakan Tools Google Analytics untuk Melakukan Promosi PMB Tertarget." INTERNAL (Information System Journal) 3, no. 2 (January 4, 2021): 27–40. http://dx.doi.org/10.32627/internal.v3i2.53.

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Marketing strategy is very important for companies where marketing strategy is a way of achieving the goals of a company, because the potential to sell a proposition is limited to the number of people who see it. With the conventional marketing concept, the target to achieve the goal cannot be maximized, it only eliminates time and cost. With the large number of smartphone users and information technology today, digital marketing techniques will be more efficient, because marketing targets can be managed to only certain segments. The application of remarketing techniques is of course not only done by google analytics, but also Facebook ads to monitor events or user interactions with ads that have reached certain locations. At this time, implementing the remarketing method on Google Analytics and Facebook Ads by utilizing research events and ad conversion so that data that has interacted with ads on Facebook will also enter into tracking data. From the analysis of the results that have been carried out by the author, it can be concluded that online marketing techniques with the application of appropriate remarketing techniques will be able to increase visitor traffic. The evaluation results are expected to be a good solution and recommendations for online promotion so that the results can be targeted as expected.

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Akbar, Yopi Hidayatul. "Implementasi Teknik Remarketing Menggunakan Tools Google Analytics untuk Melakukan Promosi PMB Tertarget." INTERNAL (Information System Journal) 3, no. 2 (January 4, 2021): 27–40. http://dx.doi.org/10.32627/internal.v3i2.316.

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Marketing strategy is very important for companies where marketing strategy is a way of achieving the goals of a company, because the potential to sell a proposition is limited to the number of people who see it. With the conventional marketing concept, the target to achieve the goal cannot be maximized, it only eliminates time and cost. With the large number of smartphone users and information technology today, digital marketing techniques will be more efficient, because marketing targets can be managed to only certain segments. The application of remarketing techniques is of course not only done by google analytics, but also Facebook ads to monitor events or user interactions with ads that have reached certain locations. At this time, implementing the remarketing method on Google Analytics and Facebook Ads by utilizing research events and ad conversion so that data that has interacted with ads on Facebook will also enter into tracking data. From the analysis of the results that have been carried out by the author, it can be concluded that online marketing techniques with the application of appropriate remarketing techniques will be able to increase visitor traffic. The evaluation results are expected to be a good solution and recommendations for online promotion so that the results can be targeted as expected.

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Carranza, Pablo, and Jenny Fuentealba. "Una introducción al Análisis Exploratorio de Datos por medio de Google Analytics." Yupana, no. 7 (September 2, 2014): 53–66. http://dx.doi.org/10.14409/yu.v1i7.4262.

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Winston, F. K., C. Yang, M. Marsac, K. Kohser, and N. Kassam-Adams. "Using Google analytics to evaluate implementation of a web-based injury intervention." Injury Prevention 16, Supplement 1 (September 1, 2010): A123. http://dx.doi.org/10.1136/ip.2010.029215.442.

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Crane, Erin. "Tech Matters: Effectively Integrating Google Analytics with LibGuides at Germanna Community College." Community & Junior College Libraries 22, no. 3-4 (October 2016): 141–48. http://dx.doi.org/10.1080/02763915.2017.1374717.

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Masih, Fredricka Joyous, and Ritu Punhani. "Analyzing E-Commerce website using Google Analytics Tool to enhance Customer Interaction." JIMS8I - International Journal of Information Communication and Computing Technology 5, no. 1 (2017): 280. http://dx.doi.org/10.5958/2347-7202.2017.00007.x.

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Goztepe, Kerim. "A Short Statistical Analysis of JMISCI Readers Based on Google Analytics Data." Journal of Military and Information Science 4, no. 1 (January 16, 2016): 1. http://dx.doi.org/10.17858/jmisci.65836.

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Biswas, Paromita, and Joel Marchesoni. "Analyzing Digital Collections Entrances: What Gets Used and Why It Matters." Information Technology and Libraries 35, no. 4 (December 30, 2016): 19. http://dx.doi.org/10.6017/ital.v35i4.9446.

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This paper analyzes usage data from Hunter Library's digital collections using Google Analytics for a period of twenty-seven months from October 2013 through December 2015. The authors consider this data analysis to be important for identifying collections that receive the largest number of visits. We argue this data evaluation is important in terms of better informing decisions for building digital collections that will serve user needs. The authors also study the benefits of harvesting to sites such as the DPLA and consider this paper will contribute to the overall literature on Google Analytics and its use by libraries.

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Pratheepan, T., and M. Jayakananthan. "Application of Google Analytics Model for Evaluating the Visibility of Library Web Portals of the Uva Wellassa University, Sri Lanka." Asian Journal of Information Science and Technology 11, no. 1 (May 5, 2021): 1–8. http://dx.doi.org/10.51983/ajist-2021.11.1.2656.

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Google Analytics is the most prevalent page tagging technique to evaluate the visibility of web portals. The study was designed with the purpose of applying google analytics model on the library Web Portals (WP) of the Uva Wellassa University (UWU) which includes, Home Page (HP), Online Public Access Catalogue (OPAC) and Institutional Repository (IR). It was observed that the web resources of UWU have been viewed by ~366756 local & global users during the study period. The USA is the predominant country visited the UWU e. Repository with the count of 53,078 (15.82%) followed by Netherlands with 14,044 (4.78%) and France 15,775 (4.70%).

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