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Data audit as a management tool.

J K Baldwin1, B K Hoover2

  • 1a Exxon Biomedical Sciences , East Millstone , NJ , 08875.

Accountability in Research
|February 10, 2016
PubMed
Summary
This summary is machine-generated.

Data audits help management tackle cost efficiency, technology application, and risk. Auditing data during processes, not after, ensures reliable information for better decision-making and prevents errors.

Keywords:
Data auditcost efficiencyin process auditmanagement toolrisk evaluationtechnology transfer

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Area of Science:

  • Management Science
  • Information Science
  • Data Integrity

Background:

  • Organizations face challenges in cost efficiency, technology adoption, and risk management.
  • Effective decision-making relies on accurate and reliable data.
  • Traditional data management may not proactively address errors.

Purpose of the Study:

  • To explore how data audits assist management in addressing core challenges.
  • To highlight the benefits of in-process data auditing over retrospective analysis.
  • To identify common data errors and how audits mitigate them.

Main Methods:

  • Examination of data audit applications in management contexts.
  • Analysis of the role of data audits in decision support.
  • Identification of error sources and audit-based solutions.

Main Results:

  • Data audits provide reliable information crucial for strategic decision-making.
  • In-process auditing ensures data integrity throughout operational phases.
  • Audits prevent common errors like misassigned observations and data loss.
  • Audits enhance the reliability of experimental designs.

Conclusions:

  • Data audits are essential tools for enhancing management's ability to achieve cost efficiency, adopt new technologies, and minimize risks.
  • Proactive, in-process data auditing is superior to retrospective analysis for ensuring data integrity.
  • Implementing data audits improves overall operational reliability and decision quality.