SleekView Charts for Booknetic
Booknetic stores multi-location, multi-staff, multi-service data in separate wp_booknetic_* tables. SleekView Charts joins them once and renders a chain-wide dashboard.
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A chain-wide dashboard over Booknetic data
Booknetic shines when one install runs several locations, several staff members, and a layered service catalog. The plugin's strength is also its dashboard weakness: data lives in separate tables for appointments, customers, staff, services, locations, and payments, and the built-in reporting screens cover narrow slices that don't combine. Multi-location chains compensate with exports and weekly spreadsheet merges.
SleekView Charts treats every wp_booknetic_* table as part of one joined dataset. Cards over that dataset cover the questions a regional manager actually asks: how many bookings per location, which services drive the chain's revenue, how each branch's staff utilisation looks this week, what share of payments came through which gateway. Filters cover location, service, staff, and payment state, and the same filters cascade across every card on a dashboard.
Cards respect Booknetic's permission model, including the SaaS multi-tenant version. A tenant admin sees only their own tenant's chain-wide dashboard; the network admin sees all tenants. The chart layer never bypasses the access control Booknetic enforces.
Workflow
Booknetic tables to a chain-wide dashboard
Source from appointments
wp_booknetic_appointments as the dataset base, with foreign keys for customer, service, staff, and location.
Join the supporting tables
wp_booknetic_customers, wp_booknetic_services, wp_booknetic_staff, wp_booknetic_locations, and the payments table onto the dataset.
Configure the cards
Pin role-based dashboards
Sample dashboard
Charts you can build from Booknetic data
Upcoming bookings (chain)
Count
Status mix
Count
group by status
Revenue by location
Sum(amount)
group by location_id
Bookings per day
Count
group by date
Comparison
Default Booknetic reporting vs SleekView Charts
Default Booknetic reports
- Booknetic's reports cover individual slices but not configurable dashboards
- Multi-location chain views require exports and spreadsheet joins
- Per-staff utilisation isn't a first-class chart
- Per-gateway revenue breakdowns aren't surfaced in the default UI
- No per-role saved dashboards for regional managers and branch managers
SleekView Charts
- Chain-wide cards over every Booknetic location at once
- Per-location, per-staff, and per-service breakdowns as Bar charts
- Status mix and gateway share as Donut charts
- Stacked Area charts to compare branch rhythm side by side
- Capability gating compatible with Booknetic SaaS multi-tenant
Features
What SleekView Charts gives you for Booknetic
Multi-location reporting
Per-location KPIs, rankings, and stacked trends render on one dashboard, so regional managers stop running per-branch reports in parallel.
Joined Booknetic dataset
Every wp_booknetic_* table joins once into a shared dataset, so charts and tables both read the full booking context.
SaaS tenancy aware
Tenants see their own data, network admins see the chain, and cards respect the same access rules Booknetic already enforces.
Audience
Who builds Booknetic charts dashboards with SleekView
Regional managers
Chain-wide KPIs, per-location ranking, and stacked daily trends. The Monday review runs across every branch from one screen.
Branch managers
A branch-scoped dashboard with the same card grammar. Pending counts, today's load, and staff utilisation visible at a glance.
Finance
Per-gateway revenue, refund counts, and unpaid balances filtered by date and location. Reconciliation runs from a saved dashboard.
The bigger picture
Why a chain needs a chart layer, not a report layer
A single-branch service business outgrows a fixed report screen quickly. A two-branch chain outgrows it on day one. The questions a regional manager asks weekly are not exotic: which branch booked the most this month, which staff member runs hottest at branch B, what share of payments came through Stripe versus on-site.
Each is one chart against the same joined dataset, and the data exists across the wp_booknetic_* tables already. SleekView Charts gives those questions a configurable rendering layer, with multi-tenant access rules respected and per-branch dashboards saved alongside the chain-wide one. Regional managers run the chain from one screen, branch managers run their branch from another, and finance reconciles every gateway across every location from a third.
The same dataset, different filter and chart configuration per role.
Questions
Common questions about SleekView Charts for Booknetic
Yes. Cards respect Booknetic's tenancy rules. A tenant admin sees only their own data; a network admin sees all tenants. The chart layer never bypasses the plugin's access control.
Yes. Combine location and staff as grouping dimensions, or build a stacked Bar with staff inside location for a single-screen utilisation view. Filter to a date range for a weekly cadence.
When the gift-card and package features are active, their redemption rows join onto the appointments dataset. Build cards for redemption volume, balance remaining, and expiring packages to support renewal conversations.
Zone metadata is part of the locations table. Group by zone or filter to a zone for a regional view that ignores individual branch boundaries when zones make more sense.
Cards read live on render. Inline edits from the SleekView table or from Booknetic's own admin reflect in the chart on the next reload. For high-traffic dashboards, a short cache can be enabled per dashboard.
No. Aggregations run server-side on the indexes Booknetic places on its tables. Tenants render only their slice, so the load scales with what each tenant can see, not with the whole network.
Yes. Click a slice or a bar and the matching SleekView table opens filtered to that segment, ready for row-level inline edits, bulk actions, or CSV export.
Yes. Custom fields Booknetic stores against an appointment can be exposed as dataset columns and used as a chart's grouping dimension. Useful for intake flags and per-service question segmentation.
Pricing
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