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Data on demand: A model to support the routine use of quantitative data for decision-making in Access Services

Data on demand: A model to support the routine use of quantitative data for decision-making in... Rapid analytics and visualization software such as Tableau provide an opportunity for Access Services staff to utilize quantitative data on a routine basis to support decision-making about services and staffing. Data visualization tools make analyzing, updating, and sharing data analysis easier and faster than ever before. However, fullest utilization of these tools requires consistent, on demand access to data. This article discusses a strategic initiative at NYU Libraries to support data-driven decision-making by establishing a robust data warehouse paired with front-end access for library staff via Tableau Desktop. Specific application of this model to reporting, usage visualization, and workflow analysis in Access Services is discussed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal Of Access Services Taylor & Francis

Data on demand: A model to support the routine use of quantitative data for decision-making in Access Services

Journal Of Access Services , Volume 14 (4): 17 – Oct 2, 2017

Data on demand: A model to support the routine use of quantitative data for decision-making in Access Services

Journal Of Access Services , Volume 14 (4): 17 – Oct 2, 2017

Abstract

Rapid analytics and visualization software such as Tableau provide an opportunity for Access Services staff to utilize quantitative data on a routine basis to support decision-making about services and staffing. Data visualization tools make analyzing, updating, and sharing data analysis easier and faster than ever before. However, fullest utilization of these tools requires consistent, on demand access to data. This article discusses a strategic initiative at NYU Libraries to support data-driven decision-making by establishing a robust data warehouse paired with front-end access for library staff via Tableau Desktop. Specific application of this model to reporting, usage visualization, and workflow analysis in Access Services is discussed.

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References (18)

Publisher
Taylor & Francis
Copyright
© 2017 The Author(s). Published with license by Taylor & Francis
ISSN
1536-7975
eISSN
1536-7967
DOI
10.1080/15367967.2017.1394195
Publisher site
See Article on Publisher Site

Abstract

Rapid analytics and visualization software such as Tableau provide an opportunity for Access Services staff to utilize quantitative data on a routine basis to support decision-making about services and staffing. Data visualization tools make analyzing, updating, and sharing data analysis easier and faster than ever before. However, fullest utilization of these tools requires consistent, on demand access to data. This article discusses a strategic initiative at NYU Libraries to support data-driven decision-making by establishing a robust data warehouse paired with front-end access for library staff via Tableau Desktop. Specific application of this model to reporting, usage visualization, and workflow analysis in Access Services is discussed.

Journal

Journal Of Access ServicesTaylor & Francis

Published: Oct 2, 2017

Keywords: Access Services; assessment; collection maintenance; circulation; data visualization

There are no references for this article.