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Michael_Tarallo
Employee
Employee

This is an interesting and fun way to showcase not only Qlik Sense's Associative Difference and visualization features, but actually shows you a sample flow from problem to solution that we can all relate to; finding that next music track / artist to listen to.

 

tweet_spot.gifI am always learning new things. When it comes to learning about Qlik Sense, or any software for that matter I am a big proponent of using "something" (scenarios, data and examples) that has interest to me so I can relate to it better. My data and example choice is using video game data, but I digress.

As you may know, I have been working with Qlik Solution Architect @TomiKomo  - Tomi Komolafe - to share his stories and examples of “things” he encounters in the field when visiting customers and prospects. (You can see some of his solutions and experiences here.)

Well this time, Tomi wanted to share something fun. Similar to how you  have seen me present many aspects of the product using video game or star wars related data,  I paused and asked Tomi – “What speaks to you? What are one of your passions?” – he said: “Music, my friends and I love listening to music.”  After further discussion – the idea of using Spotify data arose as Tomi and friends had Spotify accounts.  BUT this has been done a few times already I am sure, and this time around we didn’t just want to present the data we wanted to show how Qlik Sense analysis in conjunction with the features of the Associative Difference can help solve a particular problem Tomi was having – “What songs or other artists out there am I missing?” 😁  Is it possible that by using Qlik Sense Tomi can correlate data from his own and friend’s Spotify listening habits and find out what songs and artists he may not be listening to? – Watch this awesome video of what he discovered!

Take it away Tomi!

 

Tomi's Outline

  • My friends and I listen to Spotify
  • Use Qlik’s REST API to access our Spotify statistics
  • Use Qlik’s powerful Set Analysis and Associative feature to find songs I should check out
  • Play these songs right from my Dashboard to see if I like them

 

Let's Begin

Have you ever thought to yourself, how come there’s isn’t a Qlik Spotify app that just tells me what songs I should listen to? Well, now, you are at least thinking about it and there is such an app.

I should set up the scene so I don’t come across as some Qlik nut who turns every moment into a “lets see if Qlik can solve it” scenario. Some of my closest friends live in New Jersey (I’m in DC, 4 hrs away) and during the pandemic, I was only able to visit them sparingly. Every so often, we would be grilling in the backyard or working out in our make-shift gym, playing music in the communal ANKER Bluetooth speaker. Some of the songs I heard, I really liked and I would’ve never heard them in my sphere of Spotify influence.  Other songs were from artists I love but I hadn’t heard that particular song.

I cornered these 5 friends to get access to their Spotify song history (No friends were hurt in the development of this app). What you will discover are the myriad of ways we can analyze this data to bubble up interesting insights and trends. Fortunately, there’s a rich amount of data in the Spotify API anyone can access.

Here are some of the cool questions I will be answering using this data in this and subsequent videos:

  • Which friends are more like some other friend(s)?
    Yes, I stand by the statement that our song choices say a LOT about us.
  • Which songs are guaranteed to be hits for me based on my friends tastes?
  • This one is pretty cool - If I were an advertising company, which strategies would I use to penetrate each of our attention domains?
    (Coming in another video release)
  • Did the pandemic have a significant effect on our song choices and which friend was affected the most?
    (Coming in another video release)

 

Many more questions also keep bubbling up. What’s pretty cool is how some of the techniques used here can be applied to everyday business decisions. For example, which product should be paired with another product to improve margins based on supplier activity?

You should wait till the end of the video to see another cool surprise. It involves an extension that @joe_warbington , previously at Qlik, created.

Maybe I am a Qlik nut who turns everything into a Let’s see if Qlik can solve this… 😉

Regards,
@TomiKomo 

Resources:

  • Qlik Sense .QVF attached

Here's an example of something I coded to get all songs so I could play them for example:

Let vRecordNo = NoOfRows('WheneverExposed');
For i = 0 to $(vRecordNo) //this variable set in prior section

LET vSongTitle=Peek('Song Title',$(i),'TmpTable');
LET vReleaseYear=Peek('Release Year',$(i),'TmpTable');
SET vTrackName = "track:$(vSongTitle) year:$(vReleaseYear)";

Endpoints Used - Spotify REST API

6 Comments
joe_warbington
Luminary Alumni
Luminary Alumni

Love it @Michael_Tarallo and @TomiKomo ! 

giphy

2,923 Views
JordyWegman
Partner - Master
Partner - Master

Really nice work @Michael_Tarallo @TomiKomo !

@RonanBerendsenThis looks like something for you!

2,756 Views
sidney_li
Employee
Employee

literally so dope

2,299 Views
MagnusGwyn
Contributor
Contributor

Music app is awesome.

Download and install free and safe phone sonneries gratuites.

934 Views
QuinntenPerry
Contributor
Contributor

Indeed, using the example of finding new music tracks or artists to listen to is a relatable and engaging way to showcase the capabilities of Qlik Sense's Associative Difference and visualization features. It demonstrates how data analysis can be applied to solve a common problem and provide personalized recommendations. By leveraging the power of data and visualization, users can uncover insights and make informed decisions in various domains, including monthly listeners spotify. It's a creative way to highlight the practical applications and benefits of Qlik Sense in a context that many people can connect with.

 
618 Views
DakotaMoyer
Contributor
Contributor

Using Qlik's REST API to access Spotify stats and applying features like Set Analysis and Associative Difference to discover new music is both insightful and entertaining. It's a great example of how technology can enhance our everyday experiences.
And I totally get what you mean about not wanting to turn every situation into a Qlik challenge. Sometimes, it's nice to just enjoy the moment without thinking about data and analytics! 😄
Did you know you can buy Spotify plays to promote songs? It's a handy trick to get your music noticed by a wider audience. Just like Tomi's project, it's about finding innovative solutions to everyday challenges.

384 Views