Effective use of big data analytics and its impact on business performance
summary
Survey of 300 SME responses across the US links a measured data analytics capability to perceptual business value with beta=0.672 and R²=45%. A capability forms from tangible (data, tech), intangible (data culture, learning) and human resources, with tangibles and intangibles carrying higher relative importance while human skills remain absolutely necessary. information governance strengthens the DAC→value link, and adding advanced software and big data types raises explained value further, so prioritize tools and governance before hires.
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chapters (19)
- 0:00Introduction and welcome
- 1:37Speaker introduction and background
- 3:21Data-driven decision making explained
- 4:25SMBs and analytics research focus
- 6:10Resource-based view of analytics
- 8:17Measuring business value and constructs
- 12:29Research questions and hypotheses
- 13:57Survey design and adjustments
- 15:23Study population and demographics
- 16:51Survey constructs and measurement
- 20:45Statistical analysis with PLS-SEM
- 24:13Key findings on data analytics capability
- 27:44Role of information governance
- 29:47Big data and software impact
- 30:51Vignette interviews insights
- 32:14Hypotheses testing results
- 34:43Business practice implications
- 37:10Summary and final recommendations
- 38:58Q&A session
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