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Using Web Analytics in the Library [Kõva köide]

  • Formaat: Hardback, 277 pages, kõrgus x laius: 229x152 mm
  • Ilmumisaeg: 30-Dec-2020
  • Kirjastus: Arcler Education Inc
  • ISBN-10: 1774077183
  • ISBN-13: 9781774077184
Teised raamatud teemal:
Using Web Analytics in the LibrarySuurem pilt
  • Formaat: Hardback, 277 pages, kõrgus x laius: 229x152 mm
  • Ilmumisaeg: 30-Dec-2020
  • Kirjastus: Arcler Education Inc
  • ISBN-10: 1774077183
  • ISBN-13: 9781774077184
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781774077184.html
In the era of information communication technology, computers were used for the day-to-day housekeeping of the library, saving the time of end-users. The web analytics or web metrics tool is important to provide information on the website and its results. A web analytics tool can provide a better sense of the user activity of visitors to the website. Traffic on site can make or break the performance of online business or organization. The aim of this book is to discuss and examines the web analytics methods used by library professionals to calculate statistics on their library websites. This seeks to explain things in a way that can be interpreted by various applications and web services. The book also signifies big data tools and their impact on libraries.
List of Figures
xi
List of Tables
xiii
List of Abbreviations
xv
Preface xix
Chapter 1 Library Analytics and Metrics: A Snapshot
1(38)
1.1 Introduction
2(1)
1.2 Library Analytics
2(13)
1.3 Library Data
15(1)
1.4 Data-Driven Collection Management
16(12)
1.5 Using Economic Data To Illustrate The Valuation of The Library
28(3)
1.6 Risk Management In Libraries
31(8)
Chapter 2 Web Analytics
39(24)
2.1 Introduction
40(1)
2.2 Web Analytics Basics
40(4)
2.3 Importance of Web Analytics
44(1)
2.4 Some Reasons Why Website Analytics Are Important For Business Growth
45(3)
2.5 Types of Web Analytics
48(1)
2.6 Beyond Web Analytics
49(3)
2.7 Using Web Analytics Well
52(3)
2.8 Analytics Data And Insights
55(2)
2.9 Web Analytics Tools
57(2)
2.10 Web Analytics Methods
59(4)
Chapter 3 Introducing Google® Analytics For Libraries
63(32)
3.1 Introduction
64(1)
3.2 Google® Analytics
64(5)
3.3 Some Useful Google® Analytics Metrics
69(5)
3.4 Content Use And Access Counts
74(7)
3.5 Google® Analytics Account Setup Guidelines
81(2)
3.6 Google® Analytics Prerequisites
83(3)
3.7 Using Google® Analytics
86(9)
Chapter 4 Library Automation
95(38)
4.1 Introduction
96(1)
4.2 Interpretation of Library Automation
96(18)
4.3 Objectives of Library Automation
114(1)
4.4 Need For Library Automation
115(2)
4.5 Benefits of Library Automation
117(2)
4.6 Steps In Library Automation
119(5)
4.7 Integrated Library System
124(2)
4.8 Automated Library Services
126(4)
4.9 Library Automation Barriers
130(3)
Chapter 5 OPAC in Libraries
133(40)
5.1 Introduction
134(1)
5.2 Basics Of The Online Public Access Catalog (OPAC)
135(14)
5.3 Web OPAC
149(7)
5.4 Mobile Library Services And Technologies
156(3)
5.5 Mobile Technology And Library Services
159(6)
5.6 E-Library Using Mobile OPAC
165(8)
Chapter 6 Using Social Media Analytics In Libraries
173(32)
6.1 Introduction
174(1)
6.2 What Is Social Media Metrics?
174(10)
6.3 Social Media For Library Services
184(10)
6.4 Role Of Social Networking Technologies (SITs) On Library Resources In The Digital Environment
194(11)
Chapter 7 Semantic Web And Libraries
205(28)
7.1 Introduction
206(1)
7.2 The Concept of A Semantic Web
207(4)
7.3 Development of A Semantic Library
211(4)
7.4 Semantic Web Applications
215(6)
7.5 Semantic Web Services
221(5)
7.6 Ontology-Based Knowledge Management Systems
226(7)
Chapter 8 Big Data: The Next Big Opportunity For Librarians
233(26)
8.1 Introduction
234(1)
8.2 Basics Of Big Data In Libraries
235(11)
8.3 Big Data Tools
246(3)
8.4 Ways Libraries Can Develop With Ai And Big Data
249(1)
8.5 Issues With Big Data In Library
250(2)
8.6 Big Data And Their Impact On Libraries
252(7)
References 259(8)
Index 267