Saving 1,000 hours with RStudio: selling R in your workplace
summary
A work-automation project replaces manual report steps with R code, RStudio Workbench and RStudio Connect and uses Shiny for stakeholder-triggered runs, producing 12,000+ hours saved, 20+ team adopters and 60+ daily users. Steps: document current process and business reasons, rank tasks by impact/complexity, build reusable components, write thorough tests and handoff docs, run small deployments first and report monthly. Sell to decision makers by leading with hours saved then error reduction and reproducibility as bonuses.
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chapters (11)
- 0:00Start
- 2:02Why does the typical situation not work?
- 4:39What is possible?
- 8:05Sell it to decision makers
- 9:42What do we need
- 10:46Get your hands dirty
- 12:15script is not handled properly
- 12:51Multiple processes stopped working
- 13:47new request comes in
- 14:04Keep it going
- 15:07Build your automation project 6. Share the progress
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