Scope of the possible with Power BI
Power BI
overview
Previous attendees have said…
- 73 previous attendees have left feedback
- 99% would recommend this session to a colleague
- 96% said that this session was pitched correctly

NoteThree random comments from previous attendees
- I thought this was one of the best training sessions I have ever been to. The presenter was clearly very knowledgeable but also explained things at an appropriate level. We were quickly into the session, no messing about with 20 minutes wasted at the start telling us where the fire exits were, what the learning outcomes were going to be or how this training fitted into a holistic visionary overview of how we were going to transform our inner selves in line with corporate targets #6, #8 and #15 or whatever. The pace was great, the examples good and it really showed the power of Power BI as a potential tool to use in future. The presenter kept up with the questions in the chat better than I have ever seen anyone do before and it felt like an engaging session with loads of benefits. This was my first engagement with KIND training in what is week 3 of my new job and it’s set the bar high for future sessions :) Superb, chapeau, sir. Definitely enthused to come to more KIND sessions and get stuck into learning Power BI.
- very informative, was going a little fast but appreciate it was an overview but gave me enough info to wet my appetite
- Interesting but frustrating that the complexity of licensing and apparent paywalls mean that it is unlikely to be possible to use Power BI in reality but was a really useful session to actually get that info as my local IT have said thay have not had much training on it so can’t help much.
Session outline
- this session is a non-technical overview designed for service leads
- Why Power BI, and why this session?
- Power BI demo - build a simple dashboard
- Strengths and weaknesses
- obvious
- less obvious
- Alternatives
- Skill development
Power BI?
- newish (c.2015)
- based on Microsoft’s SQL reporting products
- proprietary, closed-source, paid-for
- integrates functions from several other Microsoft data products (bits of Excel, PowerPivot, PowerQuery…)
- produces interactive dashboards
Why this session?
- there is a lot of fluff talked about Power BI
- e.g. elaborate visualisations, fancy real-time data products…
- Power BI in general is promoted as a no-code tool
- that’s just not true, as we’ll see
- Power BI has a sales-y focus
- that conceals some of its most useful properties
- so Power BI, as a platform, requires some translation to the complicated reality of health and social care data
- and Power BI offers real strengths in managing and exploiting our data, even when the pain-points are taken into account
Power BI demo
We’ll use a pair of Excel files. These are based on three datasets from the Scottish Health and Social Care Open Data portal:
- GP practice size data - which is based on the GP practice details dataset and the Health Board 2014 - 2019 dataset
- Demographic data - which is based on the GP practice populations dataset
| Name | PracticeListSize | Postcode | HBName | GPCluster | Code |
|---|---|---|---|---|---|
| Riverside Medical Practice | 10061 | IV3 5PW | NHS Highland | NHSH (North) Inverness B | 55841 |
| Dr P M R Von Kaehne | 472 | PA24 8AQ | NHS Highland | Highland Subset 5 | 84449 |
| The Lennox Practice | 4939 | G83 0UA | NHS Greater Glasgow and Clyde | Alexandria | 85225 |
Load some data

Preview

Add to a map

Add interactions

Publish

Add more visuals

Add more data
- we could add the health board names, to make our visual more useful
- we could also get GP practice demographics
Add more data

Re-shape that data

Data modelling tools

Pre-packed visuals

Demographics

Strengths
- by far the easiest way of producing interactive data products
- great tools for tidying data
- good for iterative projects
- data hubbing / self-service data
- scaling
- potential to manage complex and sensitive data on existing infrastructure
Weaknesses
- really needs clean and tidy data
- publication can be complicated and expensive
- steepening pain curve. Easy to start projects, but more involved analysis is messy
- complex IG landscape
- messy skills development journey