Why bother with Power BI?

Power BI
pre-beginner
Published

October 10, 2025

Previous attendees have said…

  • 20 previous attendees have left feedback
  • 100% would recommend this session to a colleague
  • 100% said that this session was pitched correctly

NoteThree random comments from previous attendees
  • This was my first experience of any of these courses and also the first time I saw Brendan. I must say I was very impressed. Brendan’s presentation style and interaction with the groups comments was a joy to watch. The session itself was very informative and got a lot of information across in only 30 minutes. Also the fact that there are so many links in the notes to follow up on is a great added bonus. I will gradually be getting my whole team signed up for this and similar courses. Many thanks to Brendan for making this information available. Mark Menzies (NHS GG&C)
  • A simple and comprehensive introduction to why PBI is a good tool. It gives me a reasonable understanding of why I should look into learning PBI.
  • Very informative and interesting as I had never heard of Power BI.

Session outline

  • an overview of Power BI
  • quick production demo
  • five ways that Power BI might help
  • so what’s the catch?
  • next steps and training

A brief overview of Power BI

  • new-ish, c.2015
  • integrates several existing Microsoft products (bits of Excel, PowerPivot, PowerQuery, various SQL reporting tools)
  • produces interactive dashboards
  • proprietary, closed-source, paid-for

Central idea

  • data is complicated
  • good data analysis helps make services better
  • but predicting what data users will need is hard

Why are users so fussy about their data?

  • data can be used to answer lots of different kinds of questions
    • answering which/when questions
    • seeing effects of changes
    • comparing different areas
    • looking at services over time
    • …

Power BI demo

take a spreadsheet and load that data

Import data from Excel

preview the data

Data preview

work with the data in Power BI

Table view in Power BI

tidy/wrangle the data in Power Query

Transform data

add a map visual

Add a map visual

populate with our data

Bubble map of Scotland’s GP practices

add a column graph

Column graph

populate with drag and drop

Column graph of Scotland’s largest GP practices

add slicer

Slice to show specific NHS boards

slicers change our visualisations

Resulting filtered bubble map for NHS Dumfries and Galloway

add a numeric summary

Add cards containing quantitative summaries of data

publish

See preview - although note that access might require permission

Five ways that Power BI might help you

1: making data fun makes data useful

  • from this to this
  • a great way of making more out of the data you already hold

2: you need a data hub

  • Provides a standard way of accessing data from lots of sources
  • call this a data hub
  • great for sharing with a well-defined group
  • an excellent way of guarding your spreadsheets
  • useful for moving away from holding data on shared drives etc

3: the easiest way to build scalable dashboards

  • lower barriers to entry than competitors
  • scales really well (dashboard example)
  • scaling isn’t free though…

4: don’t repeat yourself

  • in Excel, when the data changes you need to re-do your work
  • not so in Power BI: reproducible data loading pipeline
  • possible route towards real-time data

5: let users serve up their own data

  • bored of slicing up spreadsheets and emailing them to people? Let them do it themselves
  • Power BI is a terminal product: it’s meant to be used at the end of a data journey
    • don’t expect to do much fancy exporting from BI

Weaknesses

  • Power BI needs tidy input data - so use Excel tables, and expect to get good at Power Query etc
  • don’t believe the no-code lies - you’ll need some DAX and Power Query M
  • publishing is complicated and potentially expensive and requires investigating before building a product
  • complex IG picture across Scotland, so please get official guidance early
  • a terminal analysis product, so don’t plan to take data from Power BI
  • struggles with more complex statistical tools - a specific warning here about QI