This image shows the SQL Insights Database Analysis page within Ops Insights.  The left side of the page provides the Ops Insight navigation menu and a scope selector to choose between Oracle and MySLQ databases.
The main panel of the page shows the insights regarding the selected database.
The top left tile provides overview information including the database version, average CPU count, total count of SQL and the daily average along with the number of new SQL statements in this analysis window (30 days shown).
Additional tiles show the breakdown of SQL by command and module as well as the split between SQL and PL/SQL.
Insights tiles show the counts of SQL and plan changes which are degrading in performance or improving in performance. Each count is a link to show the relevant details.
Tiles to the right of the insights provide line graphs of the percentage of non-parsing executions and the number of invalidated SQLs compared to total.
The bottom of the page contains a table of Top SQL, including the SQL ID which is a clickable link to further analytic detail.  The table rows include additional metrics including average latency, DB time, CPU time, number of executions, rows per execution, and more.