Big data’s no longer the province of tech geeks and statistics nerds alone. The 2011 film Moneyball (and the 2004 book upon which was based) opened the world’s eyes to its usefulness in the sports world. And interest in the stuff has been knocking out of the park since then.
Courtesy of a raft of increasingly sophisticated means of monitoring and capturing data, sports analytics has big-league applications for both on and off the field. Among them:
- More precise pitching, thanks to technology installed in all 30 Major League baseball stadiums that tracks pitches and determine if they’re strikes or balls.
- Smarter coaching, thanks to high-def stadium cameras that scrutinize multiple data points per second for every player to which automated algorithms and manual coding are then applied to minutely understand every capture.
- Richer time-wasting opportunities for statistics-crazy sports fans, thanks to an ever-growing number of websites devoted to slicing and dicing every aspect of every play in every game.
- A better sense of players’ physical conditions, thanks to wearable technology that produces real-time stats on players’ heart rates, sleep, hydration levels, caloric intake, training levels and hits to the head. Comparing these findings to historical data can help determine when a player might be in danger of overexerting or injuring himself.
- A better handle on fans’ tastes, thanks to analytics that closely monitor such data as ticket purchases, fan interaction and team preferences.
Players, coaches, officials, medical personnel, nutritionists and — natch — fans stand to score grand slams aplenty from such heavy-hitting content.
The quality of our experience while on the clock in this country is not good and getting worse.
So say economists at CIBC World Markets in a recently published report that paints a picture of decided discontent among Canada’s employed ranks. Indeed, this latest Canadian Employment Quality Index pegs the qualitative state of our employment at a record low.
That’s because we’re doing more low-paying work — of both the self-employed and paid variety — than ever. And that’s because this branch of employment is growing more quickly than well-paying full-time work.
Over the year ending January 2015, the job-creation gap between low- and high-paying jobs widened. The number of low-paying full-time paid positions rose twice as fast as the number of high-paying jobs.
Economists looked at three key areas in their evaluation of employment quality:
- the distribution of part- versus full-time jobs;
- self- versus paid employment;
- and the compensation ranking of full-time paid employment jobs in more than 100 industry groups.
The study’s results show a decline in all the measures, but it’s the first — the part-versus-full-time job gauge — that’s often regarded as the most important indicator of employment quality. On this front, the Index says the “damage caused to full-time employment during each recession was, in many ways, permanent.”
And that, says Benjamin Tal, deputy chief economist for the CIBC and the report’s author, “is the real story.
“We lost a significant amount of quality in the ’90s and we were not able to recover it. So this isn’t cyclical or something we can change by simply playing with monetary policy.”
Instead, he says, Canada needs to fiddle with its educational and immigration policies, along with its approach to on-the-job training. “A lot of it has to do with the mismatch between the education system and the labour market’s requirements. Many people are highly educated — but in fields that aren’t needed.”