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.

TI contracts, September 2026

1–11 of 11 · by contract date

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TI contracts, September 2026
LeadProductBrokerStatusContract
3301Basic health (KVG)Aare Vorsorge AGHeld02.09.2026
3441Basic health (KVG)Aare Vorsorge AGHeld04.09.2026
3068Basic health (KVG)Säntis PartnerHeld07.09.2026
3799Basic health (KVG)Alpenblick Broker GmbHHeld14.09.2026
3479Basic health (KVG)Uetliberg BrokerHeld16.09.2026
3380Basic health (KVG)Aare Vorsorge AGHeld22.09.2026
4048Basic health (KVG)Lindenhof BeratungHeld23.09.2026
3802CarRheinfall AssekuranzHeld26.09.2026
4354Supplementary (VVG)Alpenblick Broker GmbHHeld28.09.2026
3597Basic health (KVG)Aare Vorsorge AGHeld29.09.2026
4258Supplementary (VVG)Rheinfall AssekuranzHeld29.09.2026
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 contract_signed_at >= timestamp '2026-09-01 00:00:00' at time zone 'Europe/Zurich'
  and contract_signed_at < timestamp '2026-10-01 00:00:00' at time zone 'Europe/Zurich'
  and canton = 'TI'
order by contract_signed_at, lead_id
limit 50 offset 0

The row count

select count(*) as total
from leads
where contract_signed_at >= timestamp '2026-09-01 00:00:00' at time zone 'Europe/Zurich'
  and contract_signed_at < timestamp '2026-10-01 00:00:00' at time zone 'Europe/Zurich'
  and canton = 'TI'

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