# Add delayed ground truth (optional)

If ground truth becomes available at some point in the future, you can add it to nannyML Cloud by using the method `add_analysis_target_data` from the [Model](https://nannyml.github.io/nannyml-cloud-sdk/api_reference/monitoring/model/) class.

<pre class="language-python"><code class="lang-python"><strong># If you have delayed access to ground truth, you can add them to NannyML Cloud
</strong># later. This will match analysis &#x26; target datasets using an identifier column.
delayed_ground_truth = pd.DataFrame()
nml_sdk.monitoring.Model.add_analysis_target_data(model['id'], delayed_ground_truth)

# Trigger analysis of the new data
nml_sdk.monitoring.Run.trigger(model['id'])
</code></pre>