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Power BI Gateway and Data Source Credential Hygiene Audit

Table output

Review data sources, gateway use and stored credentials behind your Power BI reports for ownership gaps and risk. Defensive review of your own setup.

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Please audit the data connection setup behind the Power BI reports that I am responsible for. This is a defensive review to reduce outages and credential risk in my own environment. Do not ask for or include real passwords, keys or connection strings with secrets. Mark all statements about Power BI, gateways and admin features [VERIFY].

Inputs: a list of datasets or semantic models with their data sources (names only) [DATASET_SOURCES], whether each uses a gateway, cloud connection or file [CONNECTION_TYPES], who owns each connection and whose account is used to refresh [CONNECTION_OWNERS], the refresh schedule and last failure, if any [REFRESH_STATUS], and the organisation's rules on credentials [CREDENTIAL_POLICY].

Create: (1) a connection table with columns Dataset, Source, Connection type, Account type (personal / service / unknown), Owner named?, Backup owner?, Gateway single point of failure?, Last refresh result, Risk (Low / Medium / High) with a reason; (2) counts by risk and by account type, with the arithmetic for percent of datasets tied to a personal account; (3) a list of scenarios to plan for: a person leaving, password expiry, a gateway machine restarting, a source being renamed; (4) a recommended pattern: service accounts where policy allows, least-privilege read access, documented ownership, alerts to a shared mailbox; (5) a quarterly review checklist of 8 items; (6) a short note to the data owner under 120 words.

Guardrails: this is not a security assessment or compliance certification; involve IT or security for decisions on credentials. Do not suggest sharing passwords. Do not change connections.

Add a worked example with invented numbers: 20 datasets, 9 refresh using a personal account. Show 45 percent and the first three to move.

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