Polyphonic HMI Mixing Music and Math Essay Example For Students

Polyphonic HMI: Mixing Music and Math Essay Polyphonic, which target market?unsigned artists, producers, or record companies?would you pursue? How would you serve this target market? We will start with the three steps of Segmentation, Targeting, and Positioning. The market have been categorized into three subsets, and in deciding market coverage, we have been limited to only one market due to companys resources according to the case. In view of Product Life Cycle, because Polyphonic is n its early stage where the company would need to find some pioneers who are willing to give the product a shot before adopted in a major market. Few would accept it with the relatively high expense Polyphonic charges to Justify the R cost, so the market size and the ability to pay should be taken into consideration: Five major record companies in US can be broken down into several labels. They were a small company of approximately 50 people but had a wide portfolio of business interests that included energy, finance and business. In 2002 AI decided to venture into the world of entertainment and introduce their tools into the industry. They did this by forming a new company called Polyphonic HIM. Polyphonic team consisted of a relatively small number of staff members and scientists but had access to the Las data and scientist staff and was given an annual operating budget of around $500,000. The product being introduced was based on the science of analyzing music by its mathematical characteristics. The new technology named Music Recommendation System and used a database compiled of lions of songs to isolate features like melody, tempo, pitch, rhythm, and cord progression. Initially the company decided to target the consumer market segment in which to introduce the technology. The concept was centered on a customer going into a big box music store not knowing which music to select or what genre they may like. By entering some basic information the new technology could assist them in the selection of particular songs that met their particular set of criteria. Thus enhancing the consumers experience by getting them the music they wanted to hear and increasing sales for the retailers. By the time the product was ready to release there had been a sharp decline in music sales in the big box stores. (Figure 1) It was believed that this was due to several factors: first, increasing pressure from online competition and the ability to download music through the internet. Second, the belief of the consumers that online music should be free. (Case Study Review) By redskin digital format. The New Product Faced with this Polyphonic and AI revisited the design intent of the technology and created a new program called Hit Song Science (HAS). The way HAS worked was it coked at the same information as the previous version but instead of looking for music with certain criteria entered by an individual consumer it looked at the similarities of songs that had made the Top 40 hit list and the melody characteristics of each. What the Polyphonic team found was that there were clusters each hit fell into and Polyphonic scientists felt that their system could accurately predict which songs would be hits and which ones would not, based on the analysis of HAS. After continued analysis and refinements in the program Polyphonic found that they could predict whether or not a song would be a hit with n 80% success rate. The calculations were made based on the weighted score found by HAS. If the songs weighted score was 7. Or greater there was a good probability that the song would be a hit. According to CEO Mike McCrea there were still limitations to HAS but if those limitations were taken into account the information provided could be useful in the selection off hit song. At the time the Polyphonic was ready go to market with HAS they had invested approximately $600,000 dollars on the development of Hit Song Science and found that they were running very low n capital investments. Essay About Pop MusicAt this point the music industry had used focus groups and surveys as research methods but these could run up to $10,000 dollars per song and were not very accurate. For the most part the industry had been making critical decisions based simply on Gut feelings and intuition. Polyphonic major decision was to choose which segment they would first introduce HAS. The choices being the producers, the AR executives, the artists, or any group that perceivable could profit from the technology the most.