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.

GE contracts, September 2026

1–10 of 10 · by contract date

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GE contracts, September 2026
LeadProductBrokerStatusContract
3266Basic health (KVG)Seeufer FinanzplanHeld01.09.2026
3378Supplementary (VVG)Aare Vorsorge AGHeld02.09.2026
3385Basic health (KVG)Säntis PartnerHeld04.09.2026
3367LifeSäntis PartnerHeld05.09.2026
3515Basic health (KVG)Seeufer FinanzplanHeld06.09.2026
3242Basic health (KVG)Bergsee FinanzHeld19.09.2026
4075Basic health (KVG)Rheinfall AssekuranzHeld24.09.2026
4169Supplementary (VVG)Alpenblick Broker GmbHHeld28.09.2026
4261Basic health (KVG)Alpenblick Broker GmbHHeld30.09.2026
4370Basic health (KVG)Seeufer FinanzplanHeld30.09.2026
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 = 'GE'
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 = 'GE'

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