Week 7 - MBA 6601 - Data Fluency Article Discussion

For this post I will be discussing a few points from the article, "Data Fluency: A Call to Action for Higher Ed (and everyone else)," by Todd Kelsey. One idea I wanted to touch on is how quickly the workplace is changing. This is certainly nothing new but, as technology continues to rapidly evolve, so do our professions. As stated in the article, "not only does the data show some jobs disappearing, but many new jobs will be created" (1). Kelsey goes on to emphasize how difficult it is to anticipate when the changes will happen. This brings up a good point such that people should become educated not only about data itself, but other aspects like career outlook. This is one reason I chose to major in business analytics as I knew it is a growing field.

Another interesting point from the article is how MIT has a new AI College which "is integrating data and ai across all disciplines, in recognition of the changes in the workplace" (1). I believe this is a change in the right direction. This reminds me of a video I saw that argued all students should be required to take a class about taxes, for obvious reasons. I agreed with this, and I also agree that everyone should become educated about data because it is so relevant. At the very least, people should understand how to interpret data so they can understand and utilize it as needed.

The reading mentioned how 59% of organizations are expecting to increase data positions over the next few years. This just emphasizes the importance for data education. At my company, we have a small data team. I know they will eventually put more resources into developing the team, including hiring more professionals, so I can validate that this statement is true.

A final point I wanted to discuss from the article is diversity in the field of data. As Kelsey stated, "The more homogenous a group is, the more chances that there are blinders" and how there is great opportunity to incorporate people from diverse backgrounds. These people bring a wide range of ideas, ways of thinking, and solutions that might have otherwise gone unseen. These are just a few examples of many that demonstrate the importance of diversity. As a woman in data, I am excited to see more inclusion and how we can further the development of data technology.

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