Saving 1,000 hours with RStudio: selling R in your workplace
summary
Starts from a concrete claim: an automation program using R and RStudio tools saved 12,000+ hours and targets 1,000 hours per year by replacing manual report steps (Oracle/SQL → Excel → Outlook) with R scripts, Shiny for stakeholder-triggered runs, and scheduled jobs on RStudio Connect. Process: document current steps and business reasons, rank tasks by complexity/impact/stability, automate by component, write tests and handoff docs with failsafe manual procedures, track hours saved and docs produced, and share monthly progress.
AI-written summary · about
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
related talks
22mProfessional Case Studies
16mFrom Novices to Experts: Building a Community of Engaged R Users
20mMastering the Art of Adopting R and Python: Innovative Strategies for Effective Change Management
20mThe Need for Speed - AccelerateR-ing R Adoption in GSK
57mReinventing Operations Transformation
50mLead People, Manage Databases
29mMaking the Business Case for DevOps
36mHow Research Teams Can Deliver Higher-Quality Insights Faster