
Business Driven Technology 6th Edition by Paige Baltzan
Edition 6ISBN: 9780073376905
Business Driven Technology 6th Edition by Paige Baltzan
Edition 6ISBN: 9780073376905 Exercise 5
Predicting Netflix
Netflix Inc., the largest online movie rental service, provides more than 12 million subscribers access to more than 100,000 unique DVD titles along with a growing on-demand library in excess of 10,000 choices. Data and information are so important to Netflix that it created The Netflix Prize, an open competition for anyone who could improve the data used in prediction ratings for films (an increase of 10 percent), based on previous ratings. The winner would receive a $1 million prize.
Project Focus
The ability to search, analyze, and comprehend information is vital for any organization's success. It certainly was for Netflix, as it was happy to pay anyone $1 million to improve the quality of its information. In a group explain how Netflix might use databases, data warehouses, and data marts to predict customer movie recommendations. Here are a few characteristics you might want to analyze to get you started:
Customer demographics.
Movie genre, rating, year, producer, type.
Actor information.
Internet access.
Location for mail pickup.
Netflix Inc., the largest online movie rental service, provides more than 12 million subscribers access to more than 100,000 unique DVD titles along with a growing on-demand library in excess of 10,000 choices. Data and information are so important to Netflix that it created The Netflix Prize, an open competition for anyone who could improve the data used in prediction ratings for films (an increase of 10 percent), based on previous ratings. The winner would receive a $1 million prize.
Project Focus
The ability to search, analyze, and comprehend information is vital for any organization's success. It certainly was for Netflix, as it was happy to pay anyone $1 million to improve the quality of its information. In a group explain how Netflix might use databases, data warehouses, and data marts to predict customer movie recommendations. Here are a few characteristics you might want to analyze to get you started:
Customer demographics.
Movie genre, rating, year, producer, type.
Actor information.
Internet access.
Location for mail pickup.
Explanation
The five common characteristics of high ...
Business Driven Technology 6th Edition by Paige Baltzan
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