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This hub points to the pages that explain how SadaIQ protects data, respects privacy and keeps analytics explainable.

Where to find the details

Follow every insight from its source and metric definition to the decision it informs. Security describes authentication, isolation and audit. Data governance explains ownership and lineage. Privacy, cookies, terms and the subprocessor register describe our commitments in plain language. Accessibility shows how we work and how to ask for help.

From sources to audiencesFlow diagram in which the net revenue metric receives 760 synthetic units from the sales dataset, 620 of them from the orders database, and passes 460 to executives and 300 to operations. Illustrative synthetic data.62014018090760270460300120150Orders databaseCRMFilesSales datasetCustomer datasetNet revenueRepeat rateExecutivesOperationsFlow from sources to audiences (illustrative synthetic data)

Illustrative synthetic data

Records flowing from sources to audiences, in synthetic units. Illustrative synthetic data for the Meridian Retail scenario.
Flow links from source to audience, in synthetic units
Flow from sources to audiences (illustrative synthetic data)
FromToValue
Orders databaseSales dataset620
CRMSales dataset140
CRMCustomer dataset180
FilesCustomer dataset90
Sales datasetNet revenue760
Customer datasetRepeat rate270
Net revenueExecutives460
Net revenueOperations300
Repeat rateExecutives120
Repeat rateOperations150
  1. An orders database, a CRM and files are the three sources.
  2. They feed the sales and customer datasets.
  3. Those datasets resolve into the net revenue and repeat rate metrics; net revenue receives 760 units from sales, 620 of them from the orders database.
  4. Net revenue then feeds executives with 460 units and operations with 300.

How a figure reaches a decision

Every link in the chain has a named reference.

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