Does the time lag between data origination and db / dwh affect analytics?

sergeykedrov Member Posts: 1 Type 0
edited June 29 in General

Data needs to be collected, processed, persisted to dwh, db, or sheets before requested for BI.

  • What sort of issues affect the time lag more in your practice?
  • Does the time lag become sensitive for analytics or business purposes?
  • What time lag is required or desirable?
  • How does the lag affect the value of data?
  • Does the data originate in the form of events / messages such as chats, notifications, updates, purchases, sensors, online activity?
  • Are there need to enrich the data before analyzing? Does the enrichment affect the lag?
  • Do you have demand to decrease the lag?

Please, share your opinion