diff --git a/docs/datalake/epilot-datalake.mdx b/docs/datalake/epilot-datalake.mdx
index 9ae8e95..dc37bcd 100644
--- a/docs/datalake/epilot-datalake.mdx
+++ b/docs/datalake/epilot-datalake.mdx
@@ -182,6 +182,8 @@ group by
 
 This SQL query retrieves data about opportunities created over time, extracts relevant information from the JSON payload, and aggregates it by year and month, providing insights into opportunities created during different periods.
 
+![Datalake page](/img/datalake/opportunity-time-series.png)
+
 **Example 2: Reporting Journey Sessions Created Over Time**
 Suppose you need to create a report showing journey sessions created over time for a specific journey. You can use SQL to accomplish this task:
 
@@ -189,7 +191,6 @@ Suppose you need to create a report showing journey sessions created over time f
 select
     journey_id,
     start_time,
-    end_time,
     details
 from
     {org_id}_journey_sessions_final
@@ -201,7 +202,7 @@ where
 
 This SQL query retrieves the journey sessions created over time for a specific journey
 
-![Datalake page](/img/datalake/opportunity-time-series.png)
+![Datalake page](/img/datalake/journey_analytics_query_result.png)
 
 You can use any SQL client to connect to the Clickhouse Data Warehouse (DWH) using the credentials provided. For more detailed information, please refer to [this link](https://clickhouse.com/docs/en/integrations/datagrip).
 
diff --git a/static/img/datalake/journey_analytics_query_result.png b/static/img/datalake/journey_analytics_query_result.png
new file mode 100644
index 0000000..cc2702b
Binary files /dev/null and b/static/img/datalake/journey_analytics_query_result.png differ