diff --git a/README.md b/README.md
index 0e5ef61..b3ca189 100644
--- a/README.md
+++ b/README.md
@@ -23,8 +23,7 @@ This plugin allows to run full Kedro pipelines in Snowflake. Right now it suppor
 * running Kedro pipeline fully within Snowflake, without external system
 * using Kedro's official `SnowparkTableDataSet`
 * automatically storing intermediate data as Transient Tables (if Snowpark's DataFrames are used)
-* <span style="color:yellow;float:left;margin: 0px 7px 0px 0px">**(New!)</span>** [MLflow](https://mlflow.org/) integration with Snowflake with example usage in _Snowflights_ Kedro starter
-
+* <span style="color:yellow;float:left;margin: 0px 7px 0px 0px">**(New!)</span></span>** [MLflow](https://mlflow.org/) integration with Snowflake with examples in _Snowflights_ Kedro starter
 
 ## Documentation
 For detailed documentation refer to https://kedro-snowflake.readthedocs.io/
diff --git a/docs/source/03_quickstart.rst b/docs/source/03_quickstart.rst
index 409767d..a631889 100644
--- a/docs/source/03_quickstart.rst
+++ b/docs/source/03_quickstart.rst
@@ -15,6 +15,7 @@ You will also need:
 
 * Python 3.8 (must-have ⚠️ - this is enforced by the `snowflake-snowpark-python` package. Refer to `Snowflake documentation <https://docs.snowflake.com/en/developer-guide/snowpark/python/setup>`__ for more details.
 * A tool to manage Python virtual environments (e.g. venv, conda, virtualenv). Anaconda is recommended by Snowflake.
+* Make sure that you have enabled Anacoda's third party packages in snowflake. You can find this in Snowflake > Admin > Billing & Terms > Anaconda > Enable.
 
 -------