doc: bring more intro info from WID?

iterative · Sep 29, 2022 · 61116c8 · 61116c8
1 parent 2c224fa
commit 61116c8
Show file tree

Hide file tree

Showing 2 changed files with 5 additions and 9 deletions.
diff --git a/content/docs/index.md b/content/docs/index.md
@@ -2,11 +2,12 @@
 
 **Data Version Control** is a [data versioning], ML [workflow automation], and
 [experiment management] tool that takes advantage of the existing software
-engineering toolset that you're already familiar with (Git, your IDE, CI/CD,
-etc).
+engineering toolset you're already familiar with (Git, your IDE, CI/CD, etc.).
+**DVC** helps data science and machine learning teams manage large datasets,
+make projects reproducible, and better collaborate.
 
-**DVC** is available for [Visual Studio Code], on any [system terminal], and as
-a [Python library].
+**DVC** is available for [Visual Studio Code], any [system terminal], and as a
+[Python library].
 
 [data versioning]: /doc/start/data-management/data-versioning
 [workflow automation]: /doc/user-guide/pipelines

diff --git a/content/docs/user-guide/what-is-dvc.md b/content/docs/user-guide/what-is-dvc.md
@@ -2,11 +2,6 @@
 
 ![](/img/reproducibility.png) _DVC codifies data and ML experiments_
 
-Data science experiment sharing and collaboration can be done through a regular
-Git flow (commits, branching, pull requests, etc.), the same way it works for
-software engineers. Using Git and DVC, data science and machine learning teams
-can version experiments, manage large datasets, and make projects reproducible.
-
 ## Core Features
 
 - DVC is a [free], open-source [VS Code Extension] and [command line] tool.