As a mother of a young girl herself, Christine hopes the data industry attracts more girls and women in the future. One easy way to get girls more interested: Use more relatable examples, she says.
Christine still remembers the examples she dealt with in statistics. They referenced manufacturing—things she didn’t know anything about.
“These examples are so mind-numbing. It’s really hard to get into this topic and feel like, ‘This resonates with me, and this could be meaningful to me,’” she says.
Likewise, she says the data industry should “start expanding what it means to be an analytics professional” to include those “talking to customers and marrying that with the data.”
“And if we start including these other folks, these other degrees that may not have been traditionally intuitive to include in the field of analytics, then we’re going to open the door to many more diverse applicants and many more women,” says Christine.
Christine has already married the two disciplines on her team, which is divided equally between men and women. This “balanced approach” ultimately leads to better understanding of the data, she says.
“You have to doubt every piece of data and go that one level deeper. You have to really think about: Is this really the truth? And although people may say they want it a certain way, do they really? Some of these problems are really complex,” she says.
Coming to this year’s Tableau Conference in Las Vegas? Meet our Data + Women panelists and join the conversation at our meetup on Monday, October 19. You can also share your thoughts on our Data + Women Community Forum.