Produktbild: Analytics for Academic Libraries
Vorbesteller Neu

Analytics for Academic Libraries Getting Started and Practical Applications

Fr. 88.90

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

10.12.2026

Verlag

Bloomsbury Academic

Seitenzahl

176

Maße (L/B/H)

23.5/15.6/0.7 cm

Gewicht

454 g

Sprache

Englisch

EAN

9798216185741

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

10.12.2026

Verlag

Bloomsbury Academic

Seitenzahl

176

Maße (L/B/H)

23.5/15.6/0.7 cm

Gewicht

454 g

Sprache

Englisch

EAN

9798216185741

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

  • Produktbild: Analytics for Academic Libraries
  • 1. Introduction
    a. Introduction
    b. Scope
    c. Definition of Terms (Library analytics, Dashboards)

    2. Transformation of libraries and key metrics
    a. Changes in Academic Libraries
    b. Key Metrics
    c. Case Studies

    3. Building a Strong Foundation for Analytics
    a. Building a Culture of Using Data to Make Decisions
    b. Share Data across all Library Units
    c. Select Storage
    d. Case Studies

    4. Planning your Analytics Project
    a. Identifying Candidates
    b. Data Collection Planning: Purpose, Utilization, Management, and Maintenance
    c. Ethical and Legal Responsibilities
    d. Case studies

    5. Data Communication
    a. Defining your Communication Goals
    b. Internal Communication Goals
    c. Mid-level Communication Goals
    d. Promotional Communication Goals
    e. Case studies

    6. Choosing the Right Reporting Tools
    a. Evaluating Reporting Software
    b. Understand the Pros and Cons
    c. Best Tools for Your Needs
    d. Case Studies

    7. Building Your Analytics Pipeline: From Data tools, and people
    a. Gathering and Selecting Data
    b. Cleaning and Preparing Data
    c. Feeding Data into Your Pipeline
    d. Designing and Building Dashboards
    e. Maintaining and Improving Your Pipeline
    f. Case Studies

    8. Interpretation of Data
    a. The Importance of Accurate Data Interpretation
    b. Understanding Data Bias and Misuse (Tips to Avoid Data Bias and Misuse)
    c. Behavioral Analytics
    d. Predicative Analytics
    e. Case Studies

    9. Thinking about the future of library analytics and conclusion
    a. Documentation
    b. Data Quality and Integrity
    c. Learning Community
    d. Evaluation
    e. Case Studies

    10. Thinking about the future of Analytics
    a. Data Collection
    b. Machine Learning
    c. Optimizing Data Models
    d. Concluding Remarks

    Appendix
    a. Tools Used in Analytics by Academic Libraries
    b. Resources for Benchmarking and Selecting Peer Libraries

    Bibliography