Are you dancing on the beats too?
“Music for every mood” and Data Science to the rescue. You must have heard about the largest on-demand music service in the world. With more than 100 million users, this digital music company has enhanced its service and tech capabilities through several acquisitions.
The journey from Unstructured data to Structured data: A lot can be known about the Users Psychology!
Data is available everywhere, but only structured data adds value. Insights can be derived from the data when all the unstructured data is converted into structured data. Spotify is used by millions of people, and therefore a lot can be known about the users’ behaviour. So, a record of which song is trending, the song which has the most playtime and where do listeners tune in can be known.
Last but not least, what device are they using and access the service. We all know that this Data driven company use it in every part of the organisation. By using information and gaining insights, it trains its algorithms and machines which helps it to achieve accuracy. By gaining insights about the users demand, likes and preferences it extrapolate insights that help it to enhance the experience of listeners.
A good example of this is the Discover Weekly feature on Spotify. It gained 40 million people in its first year itself. The best thing about weekly discovery is that it personalizes the playlist every week. You must not have heard the songs before, but the new songs recommendation, will be something that you will enjoy. Through the data your taste can be understood, and thus music according to your mood can be played.
Get a detailed idea about how data science recommendation works
Spotify for Artists
How can the makers of the music be left behind. Mountains of data is available to the musicians and their managers, and now it is available to the artists as well. With mobile access and mobile access to analytics everything is available with just a tap. Now,it can be easily known that which playlists is followed by the users and how many times the music was played. The best part about this is that the geographic streaming data can help the musicians and their teams to plan tours more effectively. Since, now they are aware about the users preference and the audience choices. Also, they get control over their presence on Spotify, which includes selecting the “artist’s pick,”.
Don’t you think that it will empower artists and will make them less skeptical of the company?
You listen, Spotify gift
Hardly will you find any person who doesn’t like to listen to music. If you love an artist you can be a Fans First with Spotify. It is a Spotify program that uses data to find an artist’s most passionate fans and target them with special offers. Keep listening!
How can we not talk about the future, after all we are Indians! What’s the future of Spotify?
Now I am aware that Spotify team “focus on making tools to help artists in their creative process,”. It is said that in future AI (Artificial Intelligence) expertise will be used to turn the tables at Spotify. This will help to push AI-composed music that will push out artists and their labels. Spotify uses AI a lot and has already released Duet earlier this year. This help the listeners to create a duet with computer.
Isn’t that Perfect? (#Pun Intended).
Spotify can be expected to continue to humanize data in creative ways like it did when it used its vast amounts of data to launch a global ad campaign that highlighted some of the more bizarre user habits of 2016. Headlines included “Dear 3,749 people who streamed ‘It’s the End of the World as We Know It’ the day of the Brexit vote, hang in there.”
But,all days are not the same. Not all marketing campaigns are successful, some goes wrong too. By, playing with people’s data, it lost trust and many got angry and started cancelling subscriptions. They used social media to express their concern.
Every company has to face the ups and downs. Same was with with Spotify. So, after the apologies from the people, a lot of efforts were made to gain their trust again. But, as of now, we are just waiting for the next big innovation from the company’s side.
Wait! Do you know how Netflix is using Data Science and making money out of it.
Till then you may dance to the beats. Feel every emotion, happy, sad, angry, Joyous, but don’t forget to feel it to the fullest and bounce back to your dreams.
You should know that challenges and hurdles will cross the path, but if you are a true innovator and want to leave a dent you will have to keep on exploring. With all the learning experiences and failures in Data Science, success will be achieved. Till that time learn from the experiences and enjoy every uncertainty with your mood of music. Because in the end, We will, we will rock you!