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.

LU contracts, September 2026

1–13 of 13 · by contract date

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LU contracts, September 2026
LeadProductBrokerStatusContract
3073Basic health (KVG)Alpenblick Broker GmbHHeld03.09.2026
3197Basic health (KVG)Uetliberg BrokerHeld04.09.2026
3319Supplementary (VVG)Aare Vorsorge AGHeld05.09.2026
3392CarRheinfall AssekuranzHeld06.09.2026
3476Basic health (KVG)Alpenblick Broker GmbHHeld08.09.2026
3484LifeSeeufer FinanzplanHeld12.09.2026
3774Basic health (KVG)Bergsee FinanzHeld14.09.2026
3186Supplementary (VVG)Uetliberg BrokerHeld16.09.2026
3861Basic health (KVG)Säntis PartnerHeld18.09.2026
3442Basic health (KVG)Alpenblick Broker GmbHHeld18.09.2026
3415Basic health (KVG)Bergsee FinanzHeld21.09.2026
3889Basic health (KVG)Lindenhof BeratungHeld21.09.2026
3776Supplementary (VVG)Säntis PartnerHeld25.09.2026
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 = 'LU'
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 = 'LU'

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