[ndementev]

Thank you for your kind words and a constructive feedback! We appreciate it.

Let me cover some of your reactions from my perspective as a Data Engineer. Please feel free to add your opinion on those

> Shorten data discovery phase. In my experience, analysts and data scientists are always very familiar with what relevant data exists, or else they can find the right people to acquire what data they need. Often, kick-off meetings for new projects cover with stakeholders which data is useful.

You're right, but from my experience it's not always the case. Sometimes finding the key person/team responsible for a dataset might be challenging. You mentioned the kick-off meeting, about which I agree, but it's not always the silver bullet. Data goes outdated/deprecated all the time and we are trying to solve a problem of telling about this to all people which may be affected by this as soon an as easy as possible.

> Know the sources of your dashboards and ad hoc reports. All dashboards I am aware of surface this sort of information

Again, you are right. All dashboard services and BI tools can show you from what data source what data are they getting. But from my experience sometimes it's useful to take a look at the origin of data some dashboard uses. This is where end-to-end lineage comes in hand. Also, I consider useful to have metadata of all of my dashboards from all of my company's BI tools in one place.

> Deprecate outdated objects responsibly by assessing and mitigating the risks. This is a good idea, however, it is challenging

Couldn't agree more. We are working not only to improve our way to solve this problem, but the solution itself, if it makes sense. We are basically trying to find a right approach to this and offer it to everyone else. I know it's ambitious and really is a loud statement, but I hope we are getting there.

In overall, thank you for your input!

@germanosin, would you like to add something I may have missed?