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Abstract
The 21st century is quickly becoming the century of data. Growth in data volumes, data types, analysis tools, data mining, computing power, and machine learning algorithms have given organizations unprecedented fodder for data-driven decisions. The democratization of data, which we define as intra-organizational open data, provides an opportunity to transform employees from data users into citizen data scientists who provide valuable insights. This conceptual exploratory paper investigates the concept of data democratization, including processes, definitions, implications, and examples
Recommended Citation
Awasthi, Pranjal and George, Jordana J., "A case for Data Democratization" (2020). AMCIS 2020 Proceedings. 23.
https://aisel.aisnet.org/amcis2020/data_science_analytics_for_decision_support/data_science_analytics_for_decision_support/23
A case for Data Democratization
The 21st century is quickly becoming the century of data. Growth in data volumes, data types, analysis tools, data mining, computing power, and machine learning algorithms have given organizations unprecedented fodder for data-driven decisions. The democratization of data, which we define as intra-organizational open data, provides an opportunity to transform employees from data users into citizen data scientists who provide valuable insights. This conceptual exploratory paper investigates the concept of data democratization, including processes, definitions, implications, and examples
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