Microsoft Power BI


  
Sheaf Digital recently delivered 2 days of Power BI Training to staff at the Brigantia Learning Trust in Sheffield. The trust operates 4 academies including one post-16 college. The training included a one day introduction to Power BI course for staff from both the central team and Longley Park Sixth Form Academy and then a follow up session where the focus was how Longley Park Sixth Form Academy could use data from v2 of the Arbor Snowflake data warehouse. More...

  
Sheaf Digital has developed a series of Power BI assessment reports for the Holy Cross Multi Academy Company in Coventry. The 5 Holy Cross primary schools use the Arbor school management information system. The new Microsoft Power BI reports connect to Arbor’s data warehouse and give staff in schools and the central team a joined up and accurate view of student achievement in years 1 to 6. More...

  

Multi-academy trusts (MATS) face particular challenges when they try to collect, organise and then report on data.

  • Data can be stored in different systems in different schools.
  • The central trust team wants a whole-trust view.
  • MATS and schools can be short on technical resources. Staff are busy and don’t always have the time or expertise needed to get an efficient solution up and running.
  • Trusts have different stakeholders with different reporting requirements.
  • Schools generate large amounts of data - it can be difficult to find useful, actionable insights.
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Sheaf Digital has developed a series of Power BI reports for the St Francis & St Clare Catholic Multi Academy Company (SFSCMAC) in Wolverhampton. All 12 academies use the Arbor school management information system and the Power BI reports use data from Arbor’s Snowflake data warehouse. The way the data is organised in the data warehouse simplified the development of reports that now give the Trust a joined-up view of assessments, attendance and student demographics across all 12 academies. More...

  
Sheaf Digital recently delivered a one day intermediate level Power BI course to OSI Europe in Scunthorpe. The training was based on our Power BI Next Steps (intermediate) course and then tailored to be a better fit with the requirements of the OSI team. More...

  
Sheaf Digital recently delivered 4 days of Power BI Training to two separate groups from the business support team at Chesterfield College. The training was based on our Get Started with Power BI course, but adapted to better meet the requirements of the Chesterfield College team. That’s our standard Power BI training approach - we talk to the client, find out more about the data they collect and then we build the training sessions around a series of bespoke training activities. Either we use dummy data or we use real client data to build functioning, useful dashboards. More...

  
These are some lessons learned and observations from the last 12 months of writing bespoke Power BI reports and delivering Power BI training to multi-academy trusts. They may help other schools and trusts that are about to start on a Power BI journey. More...

  

The best Microsoft Power BI reports and dashboards are simple. They turn large sets of tabular data into user friendly, interactive visualisations that make it easier to spot data trends and other useful insights.

Simplicity really is the key. Just like with other kinds of software, users want an intuitive design that requires little or no effort to understand. Less is nearly always better.

Here are 5 things to consider when you’re building reports in Microsoft Power BI:

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Power BI calculated columns and measures can be confusing at first - they seem to do almost the same thing. In the following example we use some simple school attendance data to explain why calculated columns and measures are different and we show you which one to choose when you want to do more analysis of your data.

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Power BI is a great tool for visualising data and finding useful insights, particularly when you use it to then share your insights with colleagues and other stakeholders.

This student satisfaction report is an example of an interactive report built on top of some very simple data in MS Excel. The report illustrates a couple of fundamental lessons:

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This simple interactive dashboard will answer that question. It uses data from the Department for Education’s longitudinal education outcomes dataset. It tracks graduates 1 year, 3 years and 5 years after graduation and includes a breakdown for broad subject area and university.

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This is one way to build a very simple Power BI report to track student assessment performance.

In this example we’ve got just two tables of data – both imported into Power BI Desktop from an Excel Workbook. If you’re working with data from your MIS - for example the Arbor Snowflake data warehouse - you often have to build reports that use many tables, so this simple report is a good place to start if you want to begin to understand tables and relationships in Power BI.

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Here's how you can use the slicer visualization and a simple measure to filter time based data. The data is basic school attendance data.

There are two tables - Students and StudentAttendance. Not surprisingly, there’s a one to many relationship between them on StudentId. Every student gets two attendance marks a day, one in the morning and one in the afternoon. ‘P’ for present, ‘U’ for unauthorised absence and ‘A’ for authorised absence.

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This is one way of looking at student performance in Power BI. It’s a simple report built on top of single table of data about students and how they score in assessments.

Three things about the dashboard are worth noting:

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A quick way to get started with Microsoft Power BI is to connect to data in MS Excel spreadsheets. Spreadsheet data is easy to import and it means you can focus your efforts on dashboard design - prototyping ideas before sharing them with colleagues.

Here are five things to think about when using Microsoft Power BI with data stored in MS Excel spreadsheets:

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Schools that want to use the data they collect to raise teaching quality and improve learner outcomes may face particular challenges:

  1. Schools generate a serious amount of data - marks, attendance records, exam grades, output from lesson observations etc. Sifting through all that data and finding the value isn’t always straightforward.
  2. Data is often stored across multiple systems - that often makes reporting difficult.
  3. Many schools are now in Multi-Academy Trusts (MATs) - it’s even harder to get a joined up picture of what’s going on. Data may even be in different systems in different schools.
  4. Schools have to report to trustees, governors and other statutory bodies - reporting requirements that create additional pressures and perhaps don’t leave time for using data in more innovative and strategic ways.
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The real challenge for any school that wants to use a tool like Microsoft Power BI to analyse and report on data is how to get at data that is spread across different application databases - you want a solution that doesn’t involve lots of copy and pasting between different spreadsheets.

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How easy it to compare the earnings of graduates from different universities? Does a computer science graduate from Durham University make more money than one from the the University of Sheffield?

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The Power BI Radar Chart is a nice way to show how a set of values varies across multiple categories. And you can add further sets - so one radar chart shows two or more sets of values against the spokes. You then see at a glance how the different sets of values compare.

I used the radar chart to compare ‘predicted’ and ‘actual’ attainment levels in different subjects for school students. The table of sample data is shown below. The attainment levels are in one column and the type - ‘Predicted’ or ‘Actual’ is in another column. I’m interested in the average predicted and the average actual attainment level for each subject category.

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You can use Microsoft Power BI to turn your in-house data into interactive data dashboards and reports. It’s now one of the top two or three business intelligence tools on the market and it’s a great solution for schools that want to get more value from the data they collect about students and learning.

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It’s easy to get hold of schools performance data about schools in England - data is available for download from the Department for Education website. This post uses the latest end of Key Stage data - the provisional dataset for 2016/17. You can find it here.

What’s the best way to visualise school performance data with Power BI? What is the best way to give the non expert - someone who doesn’t know too much about schools and statistics - an overview of school performance in their home town?

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The scatter chart in the last Power BI blog post is nice but it doesn’t tell you everything you need to know about the relationship between % free school meals and GCSE performance at the end of Key Stage 4.

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A scatter chart in Microsoft Power BI a great way to the relationship between two values. You plot 2 sets of numbers as a series of xy points and then look for patterns in the data - trends, clusters and outliers.

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This is one way you can use the cumulative sales total measure I described in the previous post. I’ve used a bar chart visual to show how the total value of course enquiries, enrolments and lost opportunities change over time.

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This is a nice example of how to create a measure in Power BI to calculate running or cumulative totals. It’s a refinement of a post I did on the SkillsLogic blog about using calculated columns to calculate running totals. In this example I’ve gone a step further used a measure - so the running totals change when the user applies filters to the report.

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Progress 8 is a new way of measuring secondary school performance in England. It was introduced in 2016 and it aims to capture the progress a student makes between the end of primary school and the end of secondary school.

Progress 8 scores are calculated for each individual student and then averaged across the the school to get a single Progress 8 score for the school.

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