Exception reporting or anomaly detection are the most commonly deployed data analysis technologies in organizations for anti-fraud purposes, according to a global survey in 2019. Sixty-four percent of the respondents said that these technologies were currently in use in their companies, with a further eight percent expecting their organizations to adopt them in the next one or two years.
Data analysis techniques deployed to fight fraud in companies worldwide as of 2019
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ACFE. (June 23, 2019). Data analysis techniques deployed to fight fraud in companies worldwide as of 2019 [Graph]. In Statista. Retrieved November 21, 2024, from https://www.statista.com/statistics/1043509/worldwide-fraud-fight-data-analytics/
ACFE. "Data analysis techniques deployed to fight fraud in companies worldwide as of 2019." Chart. June 23, 2019. Statista. Accessed November 21, 2024. https://www.statista.com/statistics/1043509/worldwide-fraud-fight-data-analytics/
ACFE. (2019). Data analysis techniques deployed to fight fraud in companies worldwide as of 2019. Statista. Statista Inc.. Accessed: November 21, 2024. https://www.statista.com/statistics/1043509/worldwide-fraud-fight-data-analytics/
ACFE. "Data Analysis Techniques Deployed to Fight Fraud in Companies Worldwide as of 2019." Statista, Statista Inc., 23 Jun 2019, https://www.statista.com/statistics/1043509/worldwide-fraud-fight-data-analytics/
ACFE, Data analysis techniques deployed to fight fraud in companies worldwide as of 2019 Statista, https://www.statista.com/statistics/1043509/worldwide-fraud-fight-data-analytics/ (last visited November 21, 2024)
Data analysis techniques deployed to fight fraud in companies worldwide as of 2019 [Graph], ACFE, June 23, 2019. [Online]. Available: https://www.statista.com/statistics/1043509/worldwide-fraud-fight-data-analytics/