This feature is available with the Custom Analytics Builder Licence.


Reading time 20 mins


TABLE OF CONTENTS

Short Version


Analytical dashboards are built on the dedicated website and sent to you with your account details.  The folder structure replicates within your live Radar Healthcare system to allow your users to navigate to the dashboards they have permission to view.  Using the datasets provided (either the standard Radar Healthcare datasets or your personalised custom ones) you can build your dashboards to display the key information required.

Logging in and Getting Started


  • When your account is ready you will be sent details of your dedicated Analytics website and your associated login details.


An image showing the login screen for the Radar Healthcare Analytics website



  • Using the plus icon you are able to create new folders, sub-folders and dedicated dashboards.


An image showing a basic folder structure and the plus icon to create new folders.


  • When creating a new dashboard you will be asked to choose your Data Source.  This will consist of a series of data sets (sometimes referred to as 'cubes').  There will be a range of standard datasets from Radar Healthcare used to build our out-of-the-box dashboards, and there may be customised datasets designed by your organisation to include data specific to yourselves.  Select the drop-down option of which Data Source you wish to use for your dashboard.


An image showing the option to select your data source.


  • You will be presented with a blank dashboard.  A dashboard will be made up of a number of different visualisations.  Choose Select Data and select which of your data fields you wish to use as the basis of your first visualisation.  For example, if you wish to produce a number displaying the volume of Events which has occurred select EventUID - this field identifies each Events unique ID.


An image showing the Select Data option and the list of data fields within the chose data set. The image also shows the data field option EventUID.


  • With the data field selected explore the options to ensure it displays as you require.  We recommend the Advance Configuration option to explore all the different options available. 


  • On the right-hand side of the screen, you can choose the different graphical display options, choose where the data should be displayed on your visualisation and include additional data for trending, comparisons and exploration.  The default display visualisation is the Pivot.


An image showing Pivot as the default visualisation and the options to add data to your Rows, Values and Columns.


  • On the left-hand side of the screen are your options to add filters to your visualisation and also amend the way it is displayed with the design options.


An image showing the mouse hovering over the Filters option next to the Design option


  • Once saved you will be brought to your dashboard.  Drag and drop the visualisation in place and use the options to increase or decrease the size accordingly.


The video below explores this in more detail:




Deep dive into Dashboard building on the dedicated Sisense knowledgebase.  There is a wealth of materials available.  We recommend:



Example 1: A League Table / Bar Chart


  • Having started your visualisation on your chosen dataset we recommend a Bar Chart to display comparison data, such as a League Table.  Use the options on the right-hand side of the dashboard to select the visualisation you wish to implement.


An image showing the various options for visualisation.


  • Using the additional options on the right-hand side of the dashboard select the additional data you wish to use as a comparison.  In this example, we're looking at the number of unique events reported and wish to add the category of Location as our comparison.


An image showing the addition of a new category and the selection of Location as the field of data we wish to include in the visualisation.


  • Explore the options further should you wish to sort out how the data is being displayed.  For example, would it benefit if the data was sorted by descending or ascending order?


An image showing the values being sorted into descending order.


  • We recommend exploring the design options on the left-hand side of the dashboard to amend the appearance of your visualisation.  Would you like to involve the data values?  Or perhaps include a title?

An image showing the Design options on the left-hand side of a dashboard.


The video below explores this in more detail:


Deep dive into Dashboard building on the dedicated Sisense knowledgebase.  There is a wealth of materials available.  We recommend:


Example 2: A Trend Analysis


  • To explore trends in your data we recommend using a Line Chart.


An image showing the various visualisation options and highlighting the Line Chart.


  • Use the options on the right-hand side of the dashboard to add the data you wish to explore on this dashboard.  For example, you may wish to include data options on the axis to be able to explore your data over time.


An image showing a date field being added on the X-Axis of a Line Chart visualisation.


  • Explore the options on the right-hand side of the dashboard to choose the right options for your data.  In this example we are exploring how the date is being grouped, allowing us to show dates in years, months, etc.


An image showing the date field on the X-Axis being amended from Years into Months.


  • Where there are blank values in your data we recommend exploring the 3-line menu next to the name of your data and activating the option Display Missing Values as Zeros.


An image showing the options on the 3-line menu next to the values and the option Display Missing Values as Zeros.


  • With your visualisation in place, we recommend exploring the Display options on the left-hand side of the dashboard.


An image showing the different display options for your visualisation.


The video below explores this in more detail:




Deep dive into Dashboard building on the dedicated Sisense knowledgebase.  There is a wealth of materials available.  We recommend:


Adding Dashboard Filters


  • On the left-hand side of your dashboard is the option to add filters.  These can be used by your dashboard viewers to explore the data on the dashboard.  Use the plus icon to find the data you wish to add as a filter.  It is important this data is relevant to your data in the visualisations to allow the filtering to work effectively.


An image showing a new filter being added to a dashboard.


  • Once you've selected your data, choose the default setting for the filter which your users will see when they launch the dashboard.


An image showing the selection of a default filter.


  • If multiple datasets are interrelated, such as Regions and Locations, you can apply dependent filters.  These will automatically filter down the information from the top filter into the dependant filter.  In this example we're adding Locations as a dependency of Regions, therefore once a Region has been selected the list of Locations will already be filtered to show just the Locations in that selected Region.


An image showing how to add a dependant filter by selecting the 3-line menu on the main filter.


  • There are lots of different options on filters and we recommend locking-down any filters which you wish to ensure your users cannot amend.


An image showing the Lock option available on the 3-line menu of a filter.



The video below explores this in more detail:




Deep dive into Dashboard building on the dedicated Sisense knowledgebase.  There is a wealth of materials available.  We recommend:



Further Reading




FAQs


Where can I explore to find out more about the Analytics Tools?



Are there any courses in Analytics Dashboard design to build my knowledge and skills?


  • Yes.  Our partner Sisense has an excellent online course in Dashboard design to increase your skills, knowledge and confidence in designing top-notch dashboards which drive user adoption and results!  It is available at https://sisensetraining.profusion.com/details/12