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SAP Music Playlists – an experiment

At the start of the year I attended Monkigras which increased my fascination with data sets and relationships between them. Over the course of the year I have been looking at different data sets, how to measure and quantify things as well as how to related different data streams to find correlations or draw conclusions. Part of this journey has led me to #DevOps and the pursuit of improving the project delivery, the other part of this has led me to discover what data can I measure about myself and what correlations and conclusions can I draw about my body’s performance versus what I consciously decide to put it through (A whole other blog post in itself and perhaps not for SCN)

So sitting here listening to some of my favourite music, I decided to run a small experiment based on this presentation from Matt Biddulph’s Monkigras’ presentation– I think for now it would be interesting to see what music people listen to and see if we can find any relationships against job functions and age. If we get lots of entries, then it would be possible to generate a LastFM playlist by SAP area or just a general SAP playlist 🙂

In order to take part, I would like people to comment and enter their top 5 songs they love to work to (not their favourite songs) their job function and whether they are fall into the following age ranges – 20-29, 30-39, 40-49, 50-59, >60

As you all know, hopefully, I am a NetWeaver Technical consultant (Basis) and I am 30-39,

my 5 songs are

Linkin Park – Crawling

U2 – Beautiful Day

Florence and the Machine – No light, no light

Ellie Goulding – Lights (Bassnectar remix)

Foo Fighters – Best of You

Looking forward to seeing some great data


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  • Interesting experiment. Perhaps it would be useful to create a Google form to collect the answers rather than in comments here, it would be slightly more machine-processable. Then again, I’m wondering about song titles, artists, etc, and matching things up, regardless of input mechanism. MusicBrainz-related scope creep alert, perhaps! 🙂

    One thing that is preventing me from adding my input is that while I do listen to music while coding (and to drown out noise and to some extent avoid interruptions), it’s more of a genre and style: I listen to electronica, with the main feature being no lyrics. I don’t have any top 5 tracks or artists.

    • I did think about a Google form, but thought that the additional link to jump to would put some people off – if I get lots of comments, I may consider switching it over.

      DJ – Don’t over think it, as with all human input it is flexible and maleable, if I tried to cater for everything then nothing would be done – so just let people add their comments and I’ll tidy it up later :-). Also DJ I have seen your tweets about what you are listening too, and find it inconceivable that you of all people cannot put something down – those tweets we part of the genesis for this experiment, do not let me down 🙂


  • Hi Chris,
    Actually, I don’t listen to music enough at work.  My cube is set up with my back to the door, and I scare a little too easily – so it helps to be able to hear people sneaking up on me.  Yes, it’s become quite a game for my co-workers.


  • Very rarely any music at work; machines are too tied down (:

    When working at home, I listen mainly to podcasts from (weekly, but I have a few favorites that I repeat) and (used to be weekly, but not so much now).


    Very rarely listen to spoken word stuff, as it splits my concentration between what I’m doing and what I’m listening to; If I play or, I have to listen to it.



    in attitude < 25

    in years 50 +

  • Basis Consultant, 20-29 years.


    AC/DC – ThunderStruck

    The Doors – Roadhouse Blues

    Johnny Cash – Ring of fire

    Bob Marley – Redemption Song

    Tom Waits – Singapore


    Hope you can create the playlist

  • SAP Software architect


    Music at work: (My mood varies during the day, based on the stupidity of requests coming in )


    Elbow – Grounds for divorce

    Interpol – Evil

    Massive Attack – Angel

    Soundgarden – Blow up the outside world

    Daft Punk – Steam Machine


    Age Group: 20-29 (Just)

    (mental age is still somewhere around 14)


    Will you be creating BO reports on this data?

  • Age:  39.5 (not quite 40)

    SAP FICO functional consultant


    If I’m at my desk, I have my headphones in 90% of the time.  I’m listening to so much stuff that my iPhone generally runs down to about 20% by the time I leave work… sometimes even less.


    I listen to sports podcasts in the morning.  I used to immediately dive into some music but found enough good material that I like the dialogue from the podcasts instead.  I think it carries over from listening to sports radio on the drive in.  (for the iPhone, Downcast is a great app for this).


    After the podcasts run out, I’ll listen to either a mellow, pop, or hard mix.  To your main point, I much prefer hard or punk rock (Foo Fighters, Finger Eleven, Papa Roach, 311) but I find it distracting at work. I seem to get too pulled into the songs whereas pop rock or ’80s music seems to hold my focus better.


    That said, my top 5 tracks for my most productive work would be (this is hard to pin down):


    Foo Fighters – Times Like These

    Carolina Liar – I’m Not Over

    Dishwalla – Give

    O.A.R. – This Town

    311 – All Mixed Up



    But any playlist with 70-80’s stuff is great for me…  Van Halen, Simple Minds, Level 42, The Fixx, mellow Led Zeppelin, Journey, Supertramp, David Bowie… all good.