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.

Car contracts, September 2026

1–13 of 13 · by contract date

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Car contracts, September 2026
LeadCantonBrokerStatusContract
3201VDAlpenblick Broker GmbHHeld02.09.2026
3346FRAlpenblick Broker GmbHHeld03.09.2026
3392LURheinfall AssekuranzHeld06.09.2026
3333ZHUetliberg BrokerHeld10.09.2026
3990ZHAlpenblick Broker GmbHHeld17.09.2026
3881AGUetliberg BrokerHeld19.09.2026
3757FRUetliberg BrokerHeld21.09.2026
4029FRRheinfall AssekuranzHeld23.09.2026
4306FRAare Vorsorge AGHeld23.09.2026
3802TIRheinfall AssekuranzHeld26.09.2026
3852AGAlpenblick Broker GmbHHeld26.09.2026
3924BERheinfall AssekuranzHeld28.09.2026
4070ZHAlpenblick Broker GmbHHeld29.09.2026
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 product = 'Car'
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 product = 'Car'

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