SDI Lab / BI cockpit Demo on a made-up Swiss insurance-lead business, data as of 28.10.2026 18:00. Names, brokers and numbers are invented.

Appointments, September 2026

451–459 of 459 · by appointment date

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Appointments, September 2026
LeadCantonProductBrokerAppointmentStatus
4526TISupplementary (VVG)Uetliberg Broker30.09.2026Held
4472BEBasic health (KVG)Uetliberg Broker30.09.2026Held
4500ZHSupplementary (VVG)Aare Vorsorge AG30.09.2026Held
4475BEBasic health (KVG)Seeufer Finanzplan30.09.2026Held
3925BSSupplementary (VVG)Seeufer Finanzplan30.09.2026Held
4166BEBasic health (KVG)Rheinfall Assekuranz30.09.2026Held
4165FRBasic health (KVG)Bergsee Finanz30.09.2026Held
4242VDCarSäntis Partner30.09.2026Held
4559ZHBasic health (KVG)Lindenhof Beratung30.09.2026Held
How it's calculated

These rows

select lead_id, created_at, channel, canton, product, broker, appointment_at, appointment_status, contract_signed_at, invoiced_at, invoice_amount_chf
from leads
where appointment_at >= timestamp '2026-09-01 00:00:00' at time zone 'Europe/Zurich'
  and appointment_at < timestamp '2026-10-01 00:00:00' at time zone 'Europe/Zurich'
  and appointment_status in ('scheduled', 'held')
order by appointment_at, lead_id
limit 50 offset 450

The row count

select count(*) as total
from leads
where appointment_at >= timestamp '2026-09-01 00:00:00' at time zone 'Europe/Zurich'
  and appointment_at < timestamp '2026-10-01 00:00:00' at time zone 'Europe/Zurich'
  and appointment_status in ('scheduled', 'held')

The app runs these queries with parameters; here the values are written in, so they can be read or pasted into psql.