Today, many organizations are pushing for increasing and enhancing data literacy across their business — oftentimes running one-off trainings with the hopes of magically creating a more “literate” workforce.
But, it’s just not working. We need a different approach.
What if instead we focused on making technology more “business savvy” so that non-data people didn’t have to learn every data concept? What if instead of expecting non-data people to speak the language of data, we expected data scientists and analysts to speak the language of the business?
In this episode, we sat down with the one & only Kate Strachnyi, Founder and Community Manager of DATAcated, to discuss this vision for the future of data & analytics and how she educates today’s data professionals through community.
In this episode we also dive deeper into:
- How & why Kate started DATAcated
- The vision for her new centralized community: The DATAcated Circle
- Her advice for others looking to build a brand and community on LinkedIn
- A different approach to data literacy
- Why technology needs to be built for the business user
- The value of data analysts and scientists who work through a business lens
- How more data can do more harm than good
- How to tell data stories that people care about
- Kate’s vision for the future of data & analytics
- The importance of maintaining trust in data
- The role big organizations will play in educating & enabling the data community
Check out these resources that were mentioned in the show:
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