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.

Life contracts, September 2026

1–14 of 14 · by contract date

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Life contracts, September 2026
LeadCantonBrokerStatusContract
3131SGAare Vorsorge AGHeld01.09.2026
3055SGBergsee FinanzHeld03.09.2026
3367GESäntis PartnerHeld05.09.2026
3130BSAare Vorsorge AGHeld06.09.2026
3270BEBergsee FinanzHeld07.09.2026
3478FRAlpenblick Broker GmbHHeld08.09.2026
3506ZHRheinfall AssekuranzHeld11.09.2026
3484LUSeeufer FinanzplanHeld12.09.2026
3547ZHUetliberg BrokerHeld13.09.2026
3912ZHAlpenblick Broker GmbHHeld13.09.2026
3838BSAlpenblick Broker GmbHHeld20.09.2026
4032FRAare Vorsorge AGHeld22.09.2026
4157ZHUetliberg BrokerHeld25.09.2026
3894ZHLindenhof BeratungHeld26.09.2026
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 = 'Life'
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 = 'Life'

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