Abstract:
This study examines the implementation of Big Data
analytics in Tanzanian University libraries. Employing a
qualitative approach within the interpretive paradigm, the
study conducted interviews to collect data from 12 library staff
across various University libraries in Tanzania. The qualitative
data collected was analyzed using Atlasi.ti 7, focusing on
emerging themes. The findings established that most
University libraries in Tanzania utilize social networking sites
for marketing their products and services. However, only a few
academic libraries employ analytics tools such as Apache
Hadoop, MongoDB, Apache Spark, Tableau, Zoho Analytics,
Apache Storm, and others due to insufficient skills. The study
concludes that library administrators could greatly benefit
from integrating Big Data analytics into their daily operations.
Recommendations include developing Big Data analytics
policies to ensure proper handling of user data and offering
training on the use of such analytic tools to librarians to equip
them with necessary skills and techniques.
