Following a little on the theme of my post last week about being well-rounded, The Drucker Exchange recently had a post about balancing quantitative and qualitative mindsets.
Because there is such a focus on the quantitative these days with people encouraged to enter STEM fields and schools’ value being judged on the basis of test results, the arts community has been pushing back by touting the value of the arts. Though often it is in the context of these same quantitative measures: test scores, economic impact and earnings.
The Drucker Exchange post, as well as the Wall Street Journal column by Thomas Davenport that inspired it, note that like the peanut butter and chocolate of a Reese’s cup (my metaphor), quantitative and qualitative are most effective together.
Despite years of work at providing both knowledge and quantitative analysis to decision-makers, there is scant evidence that we have really improved decisions—so we have our work cut out for us.
At heart I think the historical separation of knowledge and numbers people is a “Two Culture” problem, made famous by C.P. Snow. Knowledge management people are humanities/liberal arts types, and analytics people are math/science types. We need to get them together, however. Almost all key domains of business–including customer insights, understanding the broader business and economic climate, and various approaches to performance improvement—involve both qualitative and quantitative content. The best decisions and the best organizations will make effective use of both.
In my post last week, I suggested that the scientists quoted in the Salon article felt their scientific investigations were enhance by their artistic pursuits. Peter Drucker apparently said much the same thing, but observed the same is true for someone in the humanities in relation to science.
“We will have to demand of the scientifically trained man that he again become a humanist; otherwise he will lack the knowledge and perception needed to make his science effective, indeed to make it truly scientific,” Drucker warned. “We will have to demand of the humanist that he acquire an understanding of science, or else his humanities will be irrelevant and ineffectual.”
From time to time, I also write about what value arts organizations might bring to businesses. Thomas Davenport talks about how people with the qualitative mindset can help the analytically minded tell a clearer story about their data.
Knowledge people are good at dealing with text, and some would probably be able to extend their skills into text mining and analytics. Knowledge management practitioners are also good at capturing insights, and there are many analytical assumptions and results that are never recorded. It’s also likely that some good knowledge analysts could help quants “tell a story with data,” which is something almost every organization is looking for these days.
The companies Davenport is talking about would employ such people full time so it wouldn’t be an opportunity an arts organization could do on the side. Though it certainly points to possible career opportunities for those with a liberal or fine arts background.
Something along these lines could provide a coaching/advisory opportunity on a smaller scale for arts organizations. Ultimately, thinking about how you can help a business tell the story of their data will probably help a non-profit organization do a better job telling the story of their own data on grant applications and marketing materials.
Arts organizations are probably all too close to their own data and tend to see grant reports as a chore. Helping a company in an unrelated field tell their story for an entirely different purpose could cause a shift in perspective that increases their effectiveness in talking about themselves.