Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Big Data Plus Customization: A New Era for the Music Industry
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Big Data Plus Customization: A New Era for the Music Industry
Big Data

Big Data Plus Customization: A New Era for the Music Industry

bbyfield
bbyfield
4 Min Read
Image
SHARE

ImageBig data has turned the music industry on it’s head, changing the business model entirely. 

Just as eight tracks were to records and CDs to cassette tapes, online music streaming has completely changed how people purchase their music.

ImageBig data has turned the music industry on it’s head, changing the business model entirely. 

Just as eight tracks were to records and CDs to cassette tapes, online music streaming has completely changed how people purchase their music.

More Read

Search Innovation: Why Can’t We All Just Get Along?
Sustaining Cultural Change
Data Integration Is the Schema in Between
What is Cloud Computing
Teradata Takes On Cloud and Developers with Big Data & Analytics

Spotify, Pandora, iHeart Radio and many others have drastically altered music distribution and artist discovery, customizing the experience for users based on their on-platform behaviors and song preferences. And they do this via big data.

In fact, Spotify’s entire business is based on big data. Each day, around 600 GB of data is created by Spotify users as they listen and share songs, create playlists and use in-platform apps like Tunigo. Spotify then pulls from its 20+ million song library and tailors music discovery for individual users. 

Further, their recent acquisition of music intelligence company Echo Nest only proves that Spotify is invested in big data — for its customization abilities, and the loyalty such customization breeds.

Of course, with the surge of digital streaming technologies, the industry has been forced to look elsewhere for serious revenue — and festivals and concerts provide.

Spanning almost every genre imaginable, thousands of fans annually flock to Lollapalooza, SXSW, Coachella, Ultra and so many others. And that expectation of customization comes with them. 

This is where our on and offline lives are beginning to merge — and identity data via social media connects the dots between who you are online and what you want to see offline. As far as music tech goes, no one company knows that better than SXSW. 

Attracting more than 30,000 people each year and putting on more than 2,000 official and unofficial shows, SXSW employees have a lot of people doing a lot of things in a very small amount of time. Figuring out how to impress and delight them among the brand chatter is key to keeping those audiences coming back.

“How we’re looking at data and finding out who our community is really drives to the heart of what we’re trying to do with SXSW to make it successful,” said Scott Wilcox, director of technology at SXSW, in an interview with Umbel. “Which is to serve the community that’s attracted to SXSW, and to be able to give them relevant information and opportunities related to their interests.”

Customization is driving high music industry loyalty among the brands that deeply invest in the technology to power such individualization. That technology includes identity data collection, showcasing digital brand affinities (including bands, retail and food and beverage vendors). With such information, the ability to pull the most audience-relevant brands to an event becomes simply a data-backed decision. And one that produces ROIs similar to the music industry’s CD-driven golden age. This time, it’s just smarter.

TAGGED:music industry
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Diverse Research Datasets
The 5 Best Platforms Offering the Most Diverse Research Datasets in 2026
Big Data Exclusive
macro intelligence and ai
How Permutable AI is Advancing Macro Intelligence for Complex Global Markets
Artificial Intelligence Exclusive
warehouse accidents
Data Analytics and the Future of Warehouse Safety
Analytics Commentary Exclusive
stock investing and data analytics
How Data Analytics Supports Smarter Stock Trading Strategies
Analytics Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

big data in music industry
Big DataExclusive

How Up-And-Coming Music Companies Use Big Data For Optimal Results

7 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?