The SWPM BuddyPress Integration plugin sits between two distinct schemas. On the Simple Membership side, members live in swpm_members_tbl with columns like account_state, membership_level, and email. On the BuddyPress side, profile data lives in bp_xprofile_data keyed by user_id, and group membership lives in bp_groups_members with the user and group ids. The integration links the two by mapping each SWPM member_id to a WordPress user_id and, through that, to BuddyPress's user-keyed tables.

SleekView Charts reads both sides. A Number card counts linked accounts: SWPM members whose WordPress user_id has at least one row in bp_xprofile_data. A Pie card breaks linked accounts by membership level from swpm_members_tbl.membership_level. A Bar card ranks BuddyPress groups by member count from bp_groups_members, filtered to users that also exist in SWPM. An Area card plots new linked accounts per day from swpm_members_tbl.member_since. Each card filters and groups against the live tables.

Because the dashboard uses the same data source as the Table view, every chart segment and its underlying linked-account list stay in sync. Click a Pie slice to drill into the matching members; come back to the chart for the macro view. Saved layouts let community managers, membership admins, and ops each load the dashboard tuned to their workflow.

The whole point of the SWPM BuddyPress Integration is to make paid membership and community participation the same thing for the end user. But the admin side stays split: SWPM's screens list paid members, BuddyPress's screens list community profiles and groups, and nothing in either plugin gives a single view of how the two overlap. Are paid members actually using the community? Which groups dominate the paid base? How fast is the linked-account count growing? Those are the questions any community-driven membership business asks every week, and the default admin only answers them with manual SQL or exports.

SleekView Charts treats the joined SWPM and BuddyPress tables as a single generic chart data source, so the dashboard becomes whatever the team actually needs. KPIs sit next to distribution charts, distribution charts sit next to trends, and every card filters against the live join. Linked communities finally get the reporting layer that matches what the integration set out to do.