Metadata
- Author: Monte Carlo Data
- Full Title:: The Next Big Crisis for Data Teams
- Category:: 🗞️Articles
- Document Tags:: Measuring A Data Team Impact
- URL:: https://www.montecarlodata.com/blog-the-next-big-crisis-for-data-teams/?utm_source=linkedin&utm_medium=social&utm_campaign=
- Finished date:: 2023-04-15
Highlights
It’s not that you didn’t know. The problem is more related to measuring an indirect effect
we didn’t know whether or not these tools are actually bringing value to the business. (View Highlight)
reliable and purpose built (View Highlight)
If you don’t intimately understand consumer needs, your reports and analysis will be about as valuable as a 5-foot stuffed penguin. (View Highlight)
talk to their consumers and business stakeholders. This is obvious advice, yet the task of “requirement gathering” is often delegated to analysts or embedded teams (View Highlight)
Red Ventures director of data engineering, Brandon Beidel, met with every business team in a weekly cadence (View Highlight)
NPS surveys, which is a strategy JetBlue’s data team discussed during a recent webinar. (View Highlight)
Our data team errs on the side of overcommunication, and we try to communicate across as many channels as possible. Just like we as data engineers look askance at a data source that isn’t well documented, business users are going to be inherently skeptical towards quiet data teams. (View Highlight)
have a member of the data team get in the dirt with stakeholders and live their life with data (View Highlight)
We need ways to draw connections between upstream tables and downstream assets in a way that incorporates the entirety of your data environment – not just the warehouse, lake, or transformation layer. We need an approach that’s truly end to end, all the way down to the consumption layer. (View Highlight)
Visibility and transparency into our data assets will help us prioritize, stay focused, and actually move the needle for the business. (View Highlight)
Fielding ad-hoc requests, investigating broken data pipelines, and responding to Bob from Finance’s fifth question of the day are all quick wins, but they don’t meaningfully move the needle (View Highlight)
On the other hand, company-wide initiatives launched with multi-year time horizons are often doomed prior to the kick-off call. (View Highlight)
you DO know your key data assets right? (View Highlight)
Spend as little time as possible on freshness, volume, and schema checks (you know, the easy ones) and then focus on writing custom rules to catch distribution or field health anomalies. (View Highlight)
Does narrowing your focus mean you won’t make everyone happy. Yes. Does narrowing your focus mean you’ll be more successful this quarter? Yes. (View Highlight)