Data Acquisition
Data acquisition underpins the reliability of analysis and decision-making. How data is sourced, accessed, and gathered shapes what can be concluded and how confidently insights are applied. Acquisition activities include selecting appropriate sources and tools, applying them effectively, ensuring conclusions are supported by sufficient evidence.
Technique Overview
Data Acquisition Definition
Data acquisition refers to the process of sourcing, accessing, and gathering data to support analysis and decision-making. This technique involves evaluating the suitability of data sources, the appropriateness of tools used to acquire data, and the rigour with which acquisition activities have been carried out. It also includes assessing whether conclusions drawn from the data are justified, taking into account limitations, assumptions, and potential bias. The purpose of this evaluation is to inform clear conclusions and recommendations that strengthen future data acquisition practice (Laudon
Data Acquisition Description *
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Business Evidence
Strengths, weaknesses and examples of Data Acquisition *
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Business Application
Implementation, success factors and measures of Data Acquisition *
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Professional Tools
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Further Reading
Data Acquisition web and print resources *
Data Acquisition references (4 of up to 20) *
- Amin, S., Cox, M. and Goldstein, M., 2008. Using data against disasters: Overview and synthesis of lessons learned. NATURAL, p.1.
- Baud, N., Frachot, A. and Roncalli, T. (2002). Internal Data, External Data and Consortium Data - How to Mix Them for Measuring Operational Risk. SSRN Electronic Journal. doi:https://doi.org/10.2139/ssrn.1032529
- Boyd, Danah (2020). Questioning the legitimacy of data. Information Services & Use, 40(3), pp.259–272. doi:https://doi.org/10.3233/isu-200098
- Duan, M. (2011). Application of data collection techniques by human performance technology practitioners. Performance Improvement Quarterly, 24(3), pp.77–100. doi:https://doi.org/10.1002/piq.20118
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