2022 IEEE International Systems Conference (SysCon) 2022
DOI: 10.1109/syscon53536.2022.9773812
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ChaordicLedger: Digital Transformation and Business Intelligence via Data Provenance and Ubiquity

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“…Further, the transparency of contextualized information reduces or eliminates the dependencies on SMEs to assess systemic change impact, allowing novices to provide reliable estimates equivalent to those of their more experienced counterparts. [3].…”
Section: Introductionmentioning
confidence: 99%
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“…Further, the transparency of contextualized information reduces or eliminates the dependencies on SMEs to assess systemic change impact, allowing novices to provide reliable estimates equivalent to those of their more experienced counterparts. [3].…”
Section: Introductionmentioning
confidence: 99%
“…Regression methods were very sensitive to the experience level of the project manager using them. A solution to these issues is in the quality and transparency of available project-related data, which allows for objective differentiation between projects (issue 1), mining of relevant metrics for cost models (issue 2), and mitigating the need for subjective expert insights (issue 3) [3].…”
Section: Introductionmentioning
confidence: 99%