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25. Power BI Service

25.9 Other Service Features Worth Knowing

Start with a problem

Amir wants to know the smaller Service features he might be asked about: comments, favourites, Q&A, Goals and more.

Explain simply

Useful extras: comments on visuals, favourites, personal bookmarks, view related, and settings such as featured content.

Show the data

Feature Use
Comments Discuss a number with @mention
Favourites Quick access
Personal bookmarks Save your own filter state

About this data: This table uses columns: Feature, Use. This table uses columns: Feature, Result. This table uses columns: Wrong result, Reason, Correction. Values shown are the lesson examples already on this page (not a new dataset).

Fictional sample data. Practice file: visuals_orders_apr_may_2026.csv (source: src/practice/).

Demonstrate

  1. Open the report › Comments › add Kolhapur ₹450 – check 308 cancellation and @mention Zoya.
  2. Click the star to favourite.
  3. Select Kolhapur, Bookmarks › Personal bookmark › Add.

Show the result

Your result should look like this (fictional sample):

Feature Result
Comment Zoya gets a notification
Favourite Report in Favourites
Personal bookmark Kolhapur view saved

Explain what happened

These features live in the Service and do not change the report for others.

Explore further

  • Read the reference below for the full list.

Detailed reference for this lesson:

  • Lineage view – see which sources feed which semantic models, reports and dashboards.
  • Endorsement (अधिकृत मान्यता) – mark semantic models as Promoted or Certified so users know which are trusted.
  • Sensitivity labels (Microsoft Purview) – classify content as Confidential, etc.
  • Usage metrics – see who views the report and how often.
  • Dataflows – reusable Power Query transformations stored in the Service.
  • Comments – discuss reports with colleagues directly on the report.

Ravindra Bagale's Tip

Friends, many students ignore features like endorsement (Promoted/Certified), lineage view and usage metrics. Use lineage view before changing a semantic model to see which reports depend on it, and promote or certify models that others should reuse. It's very simple – just make it a habit.

Fix common mistakes

Wrong result Reason Correction
Bookmark changed everyone's view Created a report bookmark in Desktop Use a personal bookmark
Comment not seen No @mention @mention the person
Feature missing Tenant setting off Ask the admin

Practise independently

Practice task

Which feature saves your own Kolhapur filter state?

Hints
  • Personal.
Solution

Personal bookmark.

Think like a professional

Knowing these small features helps you support business users.

Deepen this topic (Why / What / How)

Fictional Maharashtra example. Numbers and workspace names below are practice data only.

Why: Features like endorsement, lineage and scorecards appear in interviews and admin chats.

What: A short map of lineage, usage, endorsement, scorecards and where licensing matters.

How — know where to click next:

Vertical steps (one under another)

  1. Open lineage view once for your model.
  2. Check usage metrics for who actually opens the report.
  3. Note endorsement (Certified / Promoted) as a trust signal.
  4. Leave deep Fabric/licensing to Ch 43.
  5. Capstone path Ch 44.

Tiny example: Fictional: Promoted badge on MH Ops Orders model after data-owner review.

Ravindra Bagale's Tip

Friends, usage metrics tell you which page to delete — not which colour to add.

Sample licensing and Fabric map
Sample layout — fictional data

Go deeper next

This Chapter 25 page is the overview. For the full Service deep lesson, open Ch 43 · Licensing, Capacity, Fabric and Admin Basics. Chapters 37–44 are the deep Service series; Chapter 44 is the publish–secure–refresh–share capstone.

Quiz (5 questions)

1. Usage metrics help you:

2. Endorsement signals:

3. Licensing/Fabric basics deepen in:

4. Lineage helps before you:

5. Capstone chapter:

Practice tasks (12) — hints only, no full answers

  1. Task. Write the business question this 25 9 other service features worth knowing page answers in one sentence.
    Hint: Name the user and the decision.
  2. Task. List three mistakes learners make with 25 9 other service features worth knowing.
    Hint: Use Fix common mistakes as a seed.
  3. Task. Draw a 5-box flow on paper for 25 9 other service features worth knowing (fictional MH Ops).
    Hint: Photo counts as artefact.
  4. Task. Explain 25 9 other service features worth knowing to a friend in 60 seconds using Why/What/How.
    Hint: Record voice memo if you can.
  5. Task. Open the linked deep chapter and write three new facts not on this overview page.
    Hint: Cite section titles only.
  6. Task. Create a checklist of 7 ticks before you call 25 9 other service features worth knowing “done”.
    Hint: Include a verify step.
  7. Task. Invent fictional refresh/share/role data that fits 25 9 other service features worth knowing.
    Hint: Keep IST times.
  8. Task. Map who is Admin / Member / Contributor / Viewer for a fictional workspace using 25 9 other service features worth knowing.
    Hint: Least privilege.
  9. Task. Write an interview STAR story that uses 25 9 other service features worth knowing.
    Hint: 45–60 seconds.
  10. Task. Find one unused habit you will stop (e.g. My workspace for team content) related to 25 9 other service features worth knowing.
    Hint: Be specific.
  11. Task. Link 25 9 other service features worth knowing forward to the correct Ch 37–44 lesson and say why.
    Hint: One sentence why.
  12. Task. Teach 25 9 other service features worth knowing back using Marathi or Hindi tip language once.
    Hint: Keep English terms for product UI.

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