Great read Auren. One problem that I've noticed about this space is that it's very difficult to curate differentiated data. As a DAAS business, how do you identify what is differentiated data, and how do you curate that to interested parties? More importantly, how do clients authenically discover and trust your data? As someone who provides data services, I wonder how many people come across my data and say "I don't know if I can trust this."
We see so many data conversations and data conferences around data pools and data dashboards. However, very few organizations invest in 'metadata strategy' which makes their data useful and meaningful for internal or external use. By 2025, I guess "metadata strategist" should take over the what we have now as 'Data scientist'.
Great read Auren. One problem that I've noticed about this space is that it's very difficult to curate differentiated data. As a DAAS business, how do you identify what is differentiated data, and how do you curate that to interested parties? More importantly, how do clients authenically discover and trust your data? As someone who provides data services, I wonder how many people come across my data and say "I don't know if I can trust this."
I'd love your opinion!
We see so many data conversations and data conferences around data pools and data dashboards. However, very few organizations invest in 'metadata strategy' which makes their data useful and meaningful for internal or external use. By 2025, I guess "metadata strategist" should take over the what we have now as 'Data scientist'.