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Reports, Dashboards & Analytics Architecture

 Reports, Dashboards & Analytics Architecture

💬 In plain words:  Reports are questions you ask of your data; report types decide which objects a report is even allowed to ask about; dashboards show many answers on one screen. Key trap: who a dashboard 'runs as' decides whose data everyone sees.

📌 Example:  The VP's dashboard shows 40 deals; a rep opens the same dashboard and sees 12. Check 'view dashboard as': it runs as the viewer, and the rep's sharing only reaches 12 opportunities. Same report, different eyes.

Concept

Reporting starts with Report Types. A report type decides which objects and fields are reportable, and whether the join is inner or outer, that is the 'with or without related records' choice. It is the most under-appreciated lever on the platform. Custom report types unlock cross-object paths and relationships that are otherwise hidden. Reporting snapshots capture data at a point in time into a custom object, which is how you trend. Dashboards have a running user, and who that user is decides whose data you see, so it is a security decision. At LDV, reports hit row limits and time out, covered in 10.6, which pushes you to CRM Analytics (Tableau CRM) or an external BI tool. External objects report only in a constrained way.

🧠 Report TYPE decides what's reportable (with/without related = inner/outer join). Snapshot = trend over time. Dashboard running-user = whose data + security. 

Core Q&A

Q: Users say a report is 'missing' records that clearly exist. Most likely causes?

🎯 Say this first:  It's almost always visibility: sharing, the report type's join (inner join drops records), filters, or the running user's FLS.

A: Work down this list in order. One: the report type's join. If it says 'Accounts WITH Contacts', every account with no contact disappears. Switch to 'with or without'. Two: report filters — date ranges, 'My' scope, status. Three: sharing. The running user only sees records they have access to, covered in 2.x. An admin sees more, so 'it works for me' proves nothing. Four: record types or field-level visibility hiding the fields you filter on. Five: the record type or the fields were never added to the report type at all. Check the join and the running user's sharing before you conclude that data has been lost.

Follow-ups (scenario-based)

Q1: A dashboard shows different numbers to different users. Is that a bug?

A1: Usually not, and it depends on the running user setting. A dynamic dashboard runs as the viewing user, so each person sees data scoped to their own sharing. That is what you want for a 'my team' dashboard. A static dashboard runs as one fixed configured user, so everybody sees that user's data. If leadership needs one consistent org-wide number, set a running user with broad access. If reps should only see their own, dynamic is correct. The 'bug' is almost always a mismatch between the running-user mode and what the business actually meant. Dynamic dashboards also carry per-org limits, which are worth knowing.

Q2: Reports on a 50M-row object time out. Options?

A2: Make the filters selective and indexed. Bound them by date and filter on indexed fields — the optimizer rules are the same ones you learn for SOQL in 10.6. Then shrink the scope. Use report snapshots for trending, so you query a small snapshot object instead of the giant source. Archive cold data out of the hot object, covered in 2.5. For genuinely large analytical workloads, move off the transactional store: CRM Analytics, Tableau, or an external warehouse fed by CDC — see 10.5. Operational reporting on 50M live rows is the wrong tool for the job. Skinny tables can help one specific hot report path. The sequence to say out loud: filter and index, then snapshot, then archive, then a dedicated analytics platform.

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