The Effective Applications of R (EARL) Conference (held last week in London) is well-named. At the event I saw many examples of R being used to solve real-world industry problems with advanced statistics and data visualization. Here are just a few examples:
- AstraZeneca, the pharmaceutical company, uses R to design clinical trials, and to predict the ending date of the trials based on planned interim analyses of the data.
- Allianz, the financial services company, has deployed a massively-parallel "R-as-a-Service" production environment to support real-time banking processes.
- KPMG, one of the "big four" consulting companies, used R to simulate the impact of rule-changes to Britain's National Lottery, to better distribute prizes amongst players.
- Allstate, the insurance company, uses R to build predictive models to set premiums and calculate risk profiles.
- Douwe Egberts, the coffee company, uses R to analyze consumer preferences for coffee, and to design coffee roasts with desired flavour profiles.
- Atass Sports, a company that specializes in forecasting sports results, used R to identify cases of match-fixing in professional tennis.
There were also several other examples of industry applications from parallel sessions I couldn't attend, from companies including Lloyds of London, Shell, UBS, Deloitte, UniCredit, BCA Marketplace, TIM Group, PartnerRe, and hosts Mango Solutions.
The next EARL conference will be held in Boston, November 2-4, where I'm honoured to be included as a keynote speaker. I'm looking forward to learning about many more applications of R there!