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Thumbnail image for product with reference number 9-506-S18
Polyphonic HMI: Mixing Music and Math
Case
-
Reference no. 9-506-S18
Spanish language
Subject category: Marketing
Authors: Anita Elberse (Harvard Business School); Jehoshua Eliashberg (Harvard Business School); Julian Villanueva (IESE Business School)
Published by: Harvard Business Publishing
Originally published in: 2005
Version: 7 September 2005
Revision date: 24-Apr-2019
Length: 25 pages
Data source: Field research
Topics: AI and machine learning; Change management; Economic forecasting; Innovation; Marketing management; Marketing strategy; Pricing strategy; Product positioning; Target markets; Value creation
Share a link: https://casecent.re/p/99442
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Abstract

This is a Spanish version. In 2003, Mike McCready, Chief Executive Officer of Barcelona-based Polyphonic HMI, was preparing to launch an artificial intelligence tool that could create significant value for music businesses. The technology, referred to as Hit Song Science (HSS), analyzed the mathematical characteristics of music and compared them to characteristics of past music hits, making it possible to determine a new song's hit potential. McCready must decide on a target market - record companies, producers, or unsigned artists - and develop a marketing plan that helps overcome the likely resistance against adoption.
Locations:
Europe; Spain; United States
Industry:
Music Industry
Size:
USD100,000 revenues, 20 employees
Other setting(s):
2003
Thumbnail image for product with reference number 5-506-081
Polyphonic Hmi: Mixing Music and Math
Teaching note
-
Reference no. 5-506-081
Subject category: Marketing
Authors: Anita Elberse (Harvard Business School)
Published by: Harvard Business Publishing
Originally published in: 2006
Version: 9 March 2007
Length: 20 pages
Data source: Field research
View full details
Thumbnail image for product with reference number 9-506-009
Polyphonic HMI: Mixing Music and Math
Case
-
Reference no. 9-506-009
Subject category: Marketing
Authors: Anita Elberse (Harvard Business School); Jehoshua Eliashberg (Harvard Business School); Julian Villanueva (IESE Business School)
Published by: Harvard Business Publishing
Originally published in: 2005
Version: 5 September 2006
Revision date: 29-Jul-2011
Length: 24 pages
Data source: Field research
Topics: AI and machine learning; Change management; Economic forecasting; Innovation; Marketing management; Marketing strategy; Pricing strategy; Product positioning; Target markets; Value creation
View full details

About

Abstract

This is a Spanish version. In 2003, Mike McCready, Chief Executive Officer of Barcelona-based Polyphonic HMI, was preparing to launch an artificial intelligence tool that could create significant value for music businesses. The technology, referred to as Hit Song Science (HSS), analyzed the mathematical characteristics of music and compared them to characteristics of past music hits, making it possible to determine a new song's hit potential. McCready must decide on a target market - record companies, producers, or unsigned artists - and develop a marketing plan that helps overcome the likely resistance against adoption.

Settings

Locations:
Europe; Spain; United States
Industry:
Music Industry
Size:
USD100,000 revenues, 20 employees
Other setting(s):
2003

Related

Thumbnail image for product with reference number 5-506-081
Polyphonic Hmi: Mixing Music and Math
Teaching note
-
Reference no. 5-506-081
Subject category: Marketing
Authors: Anita Elberse (Harvard Business School)
Published by: Harvard Business Publishing
Originally published in: 2006
Version: 9 March 2007
Length: 20 pages
Data source: Field research
View full details
Thumbnail image for product with reference number 9-506-009
Polyphonic HMI: Mixing Music and Math
Case
-
Reference no. 9-506-009
Subject category: Marketing
Authors: Anita Elberse (Harvard Business School); Jehoshua Eliashberg (Harvard Business School); Julian Villanueva (IESE Business School)
Published by: Harvard Business Publishing
Originally published in: 2005
Version: 5 September 2006
Revision date: 29-Jul-2011
Length: 24 pages
Data source: Field research
Topics: AI and machine learning; Change management; Economic forecasting; Innovation; Marketing management; Marketing strategy; Pricing strategy; Product positioning; Target markets; Value creation
View full details