Department

University of Tennessee at Chattanooga. Dept. of Psychology

Publisher

University of Tennessee at Chattanooga

Place of Publication

Chattanooga (Tenn.)

Abstract

Various obstacles such as a lack of analytics readiness (e.g. disparate databases, missing data, low validity) or competencies (e.g. personnel capable of cleaning data and running analyses) are causing underutilization of analytics in organizations. A safety-analytics maturity assessment such as the Data Analytics Readiness Tool (DART) can assist organizations with understanding their current capabilities. Organizations can then advance their analytics capabilities to eventually predict safety incidents and identify preventative measures for specific risk variables. The proposed safety-analytics assessment evaluates: (a) quality of the data currently available, (b) organizational norms around data collection, scaling, and nomenclature, (c) foundational infrastructure for technological capabilities and expertise in data collection, storage, and analysis of safety and health metrics, and (d) measurement culture around employee willingness to participate in reporting, audits, inspections, and observations and how managers use data to improve workplace safety.

Date

10-16-2021

Subject

Industrial and organizational psychology

Document Type

posters

Language

English

Rights

http://rightsstatements.org/vocab/InC/1.0/

License

http://creativecommons.org/licenses/by/4.0/

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DART: Data Analytics Readiness Tool

Various obstacles such as a lack of analytics readiness (e.g. disparate databases, missing data, low validity) or competencies (e.g. personnel capable of cleaning data and running analyses) are causing underutilization of analytics in organizations. A safety-analytics maturity assessment such as the Data Analytics Readiness Tool (DART) can assist organizations with understanding their current capabilities. Organizations can then advance their analytics capabilities to eventually predict safety incidents and identify preventative measures for specific risk variables. The proposed safety-analytics assessment evaluates: (a) quality of the data currently available, (b) organizational norms around data collection, scaling, and nomenclature, (c) foundational infrastructure for technological capabilities and expertise in data collection, storage, and analysis of safety and health metrics, and (d) measurement culture around employee willingness to participate in reporting, audits, inspections, and observations and how managers use data to improve workplace safety.