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Here I come up with my cooked up sales data for a Company.

This is my 3 years data in Excel, divided on product-city basis, for the measures quantity sold and revenue.

Here is how my data looks in Lumira


QTY comp.PNG


stacked Area.PNGstacked column.PNG

The Table View 🙂
Cool thing in here is that, I just had the City name in my data, it automatically gave me the Country and region names.

tree.PNGtrellis.PNGwaterfall.PNGline.PNGcity comparison.PNGcombi.PNGHeat.PNGpie.PNG

I ve used almost every chart available in Lumira.

I ve written a couple of blogs on the functionalists available in Lumira, which we usually skip while working with Lumira, so here are they,

It indeed is an easy and self learning tool.

The KT for this post is given here.

Hoping it will be helpful to some extent.

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  1. Former Member

    Hello Sara

    This is very informatics and knowledgeable. Your hard work for different countries analysis showing very interesting with the help of SAP Lumira technology. Thanks for sharing and please keep it up.

    Wishing you good luck!


  2. Benedict Venmani Felix

    Nice one Sara. A sample of all charts that can be used. I went through your other blogs too and got some real insight.I have a question,

    When I load a Excel file, all my measure are loaded as attributes and they do not appear in the ‘enrich’ option. Is there any manual way to enrich this data? (Converting the file to csv and loading helps though)


    1. Sara G Iyer Post author

      Hi Benedict Venmani Felix ,

      Yeah there is a way, do a right click and you ll see an option convert to number. Do that and It ll be then enriched.

      Else make sure you have everything in that column in number format (you can check that in excel). So even if one of your values are in alphabet or any other format, it takes it as attribute. This way is good but Am scared you might have to redo the process from choosing the source data.

      Let me know how it worked.



  3. Former Member

    Hi Sara,

    Good Day!

    Nice analysis! I appreciate.

    Lovely analysis ! 😘

    I liked this analysis very very much! Keep rocking!

    Keep sharing new things. Have a nice day! 🙂


    Hari Suseelan


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