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.

SG contracts, September 2026

1–12 of 12 · by contract date

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SG contracts, September 2026
LeadProductBrokerStatusContract
3131LifeAare Vorsorge AGHeld01.09.2026
3055LifeBergsee FinanzHeld03.09.2026
2964Basic health (KVG)Alpenblick Broker GmbHHeld04.09.2026
3640Supplementary (VVG)Uetliberg BrokerHeld09.09.2026
3620Basic health (KVG)Alpenblick Broker GmbHHeld10.09.2026
3570Basic health (KVG)Seeufer FinanzplanHeld14.09.2026
3848Basic health (KVG)Uetliberg BrokerHeld16.09.2026
3703Basic health (KVG)Aare Vorsorge AGHeld18.09.2026
4126Basic health (KVG)Lindenhof BeratungHeld24.09.2026
4255Basic health (KVG)Uetliberg BrokerHeld27.09.2026
4177Supplementary (VVG)Rheinfall AssekuranzHeld30.09.2026
4156Supplementary (VVG)Rheinfall AssekuranzHeld30.09.2026
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 = 'SG'
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 = 'SG'

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