The role of data and analytics in the music industry took center stage during a recent X Space hosted by Neclive, where industry professionals gathered to discuss the thought-provoking topic: “Is Data the New A&R? Can Analytics Predict the Next Superstar?”
The conversation featured creative consultant Yemi Nuel as a guest speaker, who offered a nuanced perspective on the growing influence of analytics in talent discovery and artist development.
Addressing the question, Nuel described it as both “dicey” and highly critical, emphasizing that while data has become an indispensable tool in the modern music business, it has limitations when it comes to identifying future superstars.
According to him, analytics are exceptionally effective at predicting momentum rather than artistry.
“Analytics can predict momentum, but you cannot automatically say that because of data you are able to find out who the next superstar is going to be,” Nuel explained.
He noted that data provides valuable insights into audience behavior and engagement patterns. Metrics such as streaming growth, monthly listeners, audience demographics, and geographical expansion can help industry stakeholders understand how an artist is performing and where their music is gaining traction.
“Data is definitely going to show you streaming growth, an artist’s monthly listeners, audience demographics, and geographic expansion,” he said.
However, Nuel pointed out that analytics struggle to capture some of the most important elements that contribute to stardom. While numbers can reveal trends and patterns, they cannot fully measure timing, cultural relevance, storytelling, identity, or the emotional connection artists build with audiences.
“What data struggles to capture is timing, narrative, and the identity of the artist,” he said. “It’s not certain that data can give you the insight that a particular artist is going to become the next superstar.”
The discussion also touched on the increasing reliance on data within the music industry, particularly among record labels and talent scouts. In an era where streaming platforms provide detailed performance metrics, analytics have become a key factor in talent acquisition and investment decisions.
“Data is what the industry is looking at now when signing talents,” Nuel observed.
Yet he cautioned against over-reliance on numbers alone. While analytics can identify artists experiencing rapid growth and audience engagement, they cannot accurately determine the creative qualities that transform promising talent into global stars.
“Analytics can predict momentum far better than they can predict the artistry of an artist,” he noted.
Nuel argued that future superstars often leave early signals in the data, but those signals only tell part of the story. The real driving force behind an artist’s breakthrough often lies within culture itself.
“Data alone rarely explains why millions of people suddenly decide to embrace an artist,” he said. “Data pretty much predicts behavior or gives you access to the backend of what’s happening, but culture predicts the artistry of the artist.”
The conversation highlighted an ongoing debate within the music industry: whether technology and analytics can replace the traditional instincts of A&R professionals. While data has undoubtedly transformed how talent is discovered and evaluated, speakers agreed that human intuition, cultural understanding, and artistic vision remain essential ingredients in identifying the next generation of music stars.
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Article origin: https://thenet.ng/data-can-predict-momentum-not-identify-superstars-yemi-nuel-on-the-future-of-ar/
Original author: Adedeji Adeyanju
