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Abstract
In recent years, the use of data analytics is widely documented for its use in for-profit businesses. So too have risen open data initiatives, calls for the ethical use of data, and its use for the greater good. At the conflux of these calls are the use of data analytics in non-profit organizations. In consideration of the benefit data analytics would bring to non-profit organizations, our exploratory study strives to understand the extent to which data analytics are being applied in non-profit organizations, including use cases and challenges experienced. For this study, we recruited 14 participants representing employees, volunteers, and consultants in non-profit organizations in the city of Ottawa, Canada. Our findings indicate that data analytics are being utilized on varying scales and predominantly in the areas of fundraising, program evaluation and marketing. Multiple challenges, including with the data itself, knowledge requirements and time limitations are identified as inhibitors.
Recommended Citation
Nault, Kim; Ruhi, Umar; and Livvarcin, Omer, "Exploring the Applications & Challenges of Data Analytics in Non-Profit Organizations" (2020). AMCIS 2020 Proceedings. 8.
https://aisel.aisnet.org/amcis2020/social_inclusion/social_inclusion/8
Exploring the Applications & Challenges of Data Analytics in Non-Profit Organizations
In recent years, the use of data analytics is widely documented for its use in for-profit businesses. So too have risen open data initiatives, calls for the ethical use of data, and its use for the greater good. At the conflux of these calls are the use of data analytics in non-profit organizations. In consideration of the benefit data analytics would bring to non-profit organizations, our exploratory study strives to understand the extent to which data analytics are being applied in non-profit organizations, including use cases and challenges experienced. For this study, we recruited 14 participants representing employees, volunteers, and consultants in non-profit organizations in the city of Ottawa, Canada. Our findings indicate that data analytics are being utilized on varying scales and predominantly in the areas of fundraising, program evaluation and marketing. Multiple challenges, including with the data itself, knowledge requirements and time limitations are identified as inhibitors.
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