How do you share your Excel Dashboard with users?

Now that you have built the dashboard, you can share the dashboard in multiple ways.

” Create a PDF output of the dashboard and send as email attachment.

Click on the PDF icon on the toolbar as shown below and it will instantly create a PDF output

PDF output

” Create Static HTML output. Click on the HTML icon on the toolbar. This option creates a static html page that you can put in on the web. Users cannot interact with the dashboard. It is just a snapshot image of the dashboard at the time the output was generated. It does not refresh automatically. You will need to regerate the output again when the data is refreshed.

” Desktop Sharing. You can put the dashboard definition file (icv) on a file share directory and other users can view the dashboard through the Dashboard viewer. You may need separate license for dashboard viewers for desktop.

Go to Menu Create ‘ Publish to web and it will generate a file that you can put it where the dashboard web server is and it will render the output. The look and feel is different with this option

The web version is using a flash charting engine to the desktop Java chart engine.
Details of converting the desktop to web version are not covered in the document. Please refer online at any of our websites for more details

You can download the complete tutorial as PDF
” Web Sharing: In this option, you can publish the dashboard to web and the dashboard is available real time with all the dashboard parameters and refresh actions

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Summary

We built the above dashboard completely from scratch.

• We defined Calculations
• We defined date hierarchies
• We built Date Filters
• We built Date Parameters
• We built Bar Charts
• We built Pie Charts
• We cleaned the dashboard layout

Next – Share Excel Dashboard with other Users

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Cleanup – Resize and Organize

Give appropriate names to each portlet.
During the chart creation if we did not provide names, now is the time to provide them.
Right click on each title and click on “Edit”

Scale down the Size

Note, you can drag the corners of each portlet to resize the frames and drag the title name to place them on the canvas

Screen real-estate is very important when designing any dashboard or web application. For better space utilization, we will convert the standard pie to a 3D view

Also, while arranging the objects, keep the most important charts on the top and left area. Put all the detailed portlets at the bottom.

Avoid horizontal scrolling

Remember, do not put any objects on the right side of the scroll bar. Always, keep the scrolling to vertical as it is convienient for viewing.

The above layout will cause for horizontal scrolling and is not a good practice.
Once you do the basic layout of placing the portlets so that they are distinctly visible, it becomes easy to use the resizing options within the tool.

Navigate to Edit ‘ Resize Mode

Once in the resize mode, you can select each object and they are enabled for group resize and placement

Select all the parameters on the top and we will align the top edges with respect to the first one.

As you see, each plet is shown in red with a bar on top indicating it is selected for alignment
One more, thing, you can also turn the Grid mode to see a guide for your alignment and placement

Goto Edit ‘ Show Grid

Note: Once you are done with resize and align with one set of objects, make sure to deselect them before working on the next set of objects

It is best practice to first resize all the objects. All objects on the same horizontal line should have the same height. Select the optimum height of any object on that particular horizontal line and then right click on the title and resize the height of all the selected ones. Then apply the alignment -> Top , deselect the objects and start with the objects in the next horizontal line.

This completes our basic dashboard which is dynamic and extremely informative.
If you need to further customize the look and feel please refer to our online tutorial and reference section
http://www.infocaptor.com/user_help/bi-dashboard-help.htm

Next – Excel Dashboard – Complete Order Management Dashboard

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Finish the Dashboard Design and Development

By now, your dashboard is quite chaotic. You have objects all around your dashboard canvas with different sizes. We will start the process of finishing our design.

Before proceeding, we save a copy of the dashboard.

Navigate to menu File ‘ Save As

Give a name to the file so that you can identify the raw dashboard definition file.

Click on Save.

Next, go to menu File => Close All

Note that there are no dashboards to view.

If you need more backup copies to be created or create different versions of the same dashboard definition, then go to the File Explorer, select the file and type – Ctrl-C, and then Ctrl-V

Now, Click on the File ‘ Open
Select the file “Order Management Analytics.icv”

Note that we are not touching the – Initial Copy file.
Click on Open

Get rid of objects you don’t need
We don’t need the initial table portlet, so we will delete that.

Select the “Name” portlet and then click on the “Scissor’ icon on the toolbar

Click “Yes” to confirm.

Note, we created the backup copy of the dashboard so don’t worry if you mess up the dashboard. You can always go back to the original and start again.

Similarly remove all objects that you don’t need it.

Next – Excel Dashboard Tutorial – Arrange objects in sizing and alignment

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Create Pie Chart

We will now create a pie chart by product name

It is nice to know that the revenue distribution is not dominated by a single product.

We can now change the “Category name parameter” to see the product distribution for other category

By Category = Beverages

Summary of steps so far
” Create a foundation table portlet (Qlet)
” Add Calculations and any derived columns
” Add Date hierarchy columns as needed
” Create Date parameters if needed
” Create drop down list of values as parameters
” Create charts using the base Qlet
” Delete the foundation portlet when not needed and you are done with the dashboard design
” Arrange the remaining portlets in desired format.

Once you are done with all the Qlets (query/table portlet) and Glets (graphic portlets), it is advisable to save the dashboard file, copy the file and work on the new file for finishing and polishing the dashboard.

Next – Excel Dashboard Tutorial – 9

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Create Year and Category Parameters

Remember, we have not built any charts yet. It is very important that we build our foundation Qlet and its corresponding parameters so that all of the drop down parameters can be leveraged in the charts.

It definitely helps to plan your dashboard development. Since the dashboard tool is easy to work with, we should still make an attempt to always plan so that we don’t duplicate our effort.

During the development, it may happen that you will get lots of ideas on implementing different ways. I would suggest to save the base dashboard definition once you have frozen all the parameters and Qlets. Before you start building charts, create a copy of the dashboard file as backup.

In our data, we have details about items that are sold on a particular date. We have the unit price, and quantity information. We also have the category for each item that they belong to. So it makes sense to include a parameter for the item category so that we can select only the items belonging to a particular category.

Right click on the “Category Name”, navigate to Create ==> Create Parameter

It creates a new parameter named “Category Name”

You may place this anywhere you feel appropriate.

Similarly, right click on the “Or Year” column and create the parameter

NOTE: Often it does not make sense to have a year drop down and a date range parameter.

Because if the year value and the date ranges fall apart or do not intersect then you will not see any data output. In this tutorial we provided the year and date ranges only for demonstration so if you need only one, do not use the other.

Next – Create Excel Dashboard – 7

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Add Date Hierarchy Columns

Most of the data, has some form of date information. Now date is very granular information. Very often, to generate trending information, you need to derive year and month columns.

In the dashboard designer, you can easily generate Date hierarchy columns for any kind of reporting.

In our example, we have order date, so we will generate the Year, Quarter, Month, Day , Week and other flavors of the same information for better representation.

Right click on the “Order Date” column and navigate to Create ‘ “Add Year, Quarter, Months column

Click on “Add” and it will add the following columns to the right of the primary column “Order Date”

You may not need all of the date derived columns but it is worth understanding what they stand for.

The derive columns, have a prefix of “Or” which are the first two letters of the primary date column “Order Date”. The remaining part explains the actual part of the date.
1. Year : represents the year component of the date
2. Mth N : represents the numerical month.
3. Mth Disp: represents the month number but padded with zero on the left
4. Mth NN: represents month number and 3 letter month name
5. Yr Mth : represents the year and month number
6. Qtr: represents the quarter number
7. Week : represents the week of year
8. Dy: represents day of year
9. … and so on.

The concept of date hierarchy even though simple to implement is very powerful. Within few minutes you can derive important “Insight” into your data. We will now begin the process of deriving intelligence out of boring data. Now begins the fun part.

Create Date Filter and Parameters

If you work with real transaction application, you already know that the amount of data is huge and the data has some form of date column. This date could be transaction date, invoice date, order date, payment date etc.

One of the dashboard and reporting best practices is to have some form of date filter and/or parameters so users can dynamically choose the date range. This helps in narrowing down the data for analysis.

Let us create a simple date filter.

One of the typical requirement is to see data for “as of today”.
In the dashboard designer it is few click process to implement this.

Right click on the Date column (order date), Navigate to

Create ==> Create Date Filter

The detail use of the Date Filter is covered in a separate tutorial. As we have very minimal use of the date filter for the dashboard that we are building we will just touch the basics.

In the date filter, on the left you see the column name and on the drop down you see different options such as below

” First Day of Month
” Last Day of Month
” First Day of Qtr
” Last Day of Qtr
” First Day of Week
” Last Day of Week
” First Day of Year
” Last day of Year

For our purpose we just limited our data to be less than today.

Click on “use this filter” and it will be applied to the Qlet.

One of the best practice is to avoid hard coding of any values in the Query. For e.g, The dashboard designer allows you to build drop down list of values as parameters to the query. We will leverage this option to the fullest so that the dashboard is extremely useful and can respond to data changes.

We will create a From and To Date range parameter

Right click on the “Order Date” column, Navigate to Create ‘ Create Parameter
It instantly creates two Data Parameters

We arrange them and size them appropriately as below

Once arranged and formatted, you can type the date or popup the date picker by click on the button on the side

Now, right click on the Title and select “Refresh”

Change the From and To Date values and refresh, the Qlet will change the data accordingly.

Next – Create Excel Dashboards – 6

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Create Dashboard and Table portlet

Once connected, it will show you a list of action items to pick from

We will click on “New Blank Dashboard“

In the Dashboard Name, we type in “Order Management Analytics”

Click OK.

It will present you with a table browser showing all the available worksheets as tables

Expand the node to see all the worksheets.

In this example file, we just have one worksheet named “order_data”. Note how, it attaches a $ sign at the end, which indicates this is an Excel Worksheet.

So make sure you do not have any dollar sign when naming the Excel worksheet and no other special characters and no white or blank characters. Replace blank characters with “_” underscore character

Double Click on the “order_data$” node

Click on the “* alias=ord” item at the very top to select all the items

You may change the name of any column or any other property such as sort and group by.

We will leave it as it is and click on the “Create Table” button.

This action creates a Table Portlet (Qlet) in the Dashboard canvas

We will use this Qlet as our basic building block for the following exercise

Next : How to build Excel Dashboards – 4

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Launch Dashboard Software and Connect

Launch InfoCaptor Dashboard Software on your Desktop and click on the connect button on the toolbar

The connection wizard has items that simplify connecting to different data sources.

For Excel Files, Click on the Excel button

Once you click, it automatically selects the appropriate Driver for you

Click on the “Access/Excel File” button.

Select the order_raw.xls file. It populates the connect name for you. But you can change this name. Connect Name is for your reference

NOTE: Make sure that the order_raw.xls file is not open in MS Excel. The Excel file is locked once you connect to it. If the file is open in MS Excel, you may get connected but not able to query and may get unpredictable results.

Now, click on the Connect button
Upon successful connection, the connection wizard disappears and a new action wizard pops up.

Next : How to build Dashboards – 3

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Modular Dashboard Design
Lot of the online tutorials and Dashboard e-books teach you to build dashboard in Excel file. They provide you with templates, you fill in the information and build the dashboard using Excel charting techniques.

If you use Excel Templates for your real dashboarding needs then you may end up with any of the below problems.

” Big Bulky and bloated excel files
” Undocumented Macros
” Zero verification on the data authencity
” No way to refresh the dashboard (lost productivity)

“Best Practise for Dashboard Design”
Modular Design – Keep Data and Presentation Separate
How? – Use Excel only for storing your data. Nothing more.

Do not build any visualization in the same place where your Data resides.

Benefits of this approach
” Your dashboard or presenation layer is independent – Dashboard definition is stored separately
” Increased productivity – When you have fresh data just refresh the dashboard, no redevelopment needed
” No Messy Excel Macros or coding knowledge required – Just drag and drop tables and visually build Tables, Charts, Speedometer, Gauges, Dials, Thermometers and more charts
” Simplified Distribution and Presentation – You can Export the Dashboard to PDF or HTML and just send them as attachments
” Save Time – Just build the dashboard presentation layer only once and automate the refreshes.

Lets begin Building Dashboard

Data Preparation

Export your transaction data to Excel file by running a report or requesting your IT department.

There are certain rules to be followed when you get the data in Excel files.

Here is a sample Excel dump of Order Entry data.
The first row is always treated as the column names.

If you inherit an Excel file with pivots and charts all over the places then try to copy just the raw data in another worksheet in the same file or create another file. If it is not possible to keep the first row as the column names then you could define “named ranges”. In the dashboard designer it is possible to access the data using Cell ranges but then future updates to the Excel file could break the dashboard, for e.g if the data goes beyond the Cell range.

NOTE: Make sure column names do not have any funky characters. Just keep it to simple alpha-numeric column names.

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To create this chart, your SQL should return only one column and one row

select sum(quantity_sold) as qty_sold
from [detail_data$]
where fiscal_year = 2001
and country_region like ‘Americas’

(Complete Steps) Create Thermometers in Dashboard

Tags: thermometer chart, dashboard thermometer, dashboard gauges, jfreechart thermometer

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