PEPSI BLUE CASE STUDY: THE CHALLENGES INHERENT IN EXECUTING A GLOBAL RE-BRANDING CAMPAIGN During the 1990s‚ PepsiCo launched new products and engineered a global re-branding campaign in an effort to grow sales volume; reinvigorate their stagnant brand; and to close the increasingly large sales and market share gap between itself and its primary competitor‚ Coca-Cola. In 1993‚ Pepsi jump-started its marketing efforts by adding two brands to its portfolio: Crystal Pepsi and Pepsi Max. Crystal
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Corporate level strategy Coca-Cola Company is now the largest soft drink company in the world. Moreover‚ the company has become the largest manufacturer‚ distributor‚ and marketer of non-alcoholic beverage concentrates and syrups which operate in more than 200 countries. After years of globalization and brand building‚ Coca-Cola proudly pronounces its Mission Statement “At The Coca Cola Company we strive to refresh the world‚ inspire moments of optimism and happiness‚ create value and make
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the stock prices by using trends‚ patterns‚ moving averages observed from historical data. However‚ there have been a certain number of people criticizing the use of past data. Among these people‚ a French mathematician‚ Louis Bachelier raised a theory called Efficient Market Hypothesis more than a century ago. The theory states that stock prices follow a random walk‚ which discouraged the study of historical data. This is very controversial and has led to an ever lasting dispute about the reliability
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ITKM Analysis of Data Mining The article Data Mining by Christopher Clifton analyzed how different types of data mining techniques have been applied in crime detection and different outcomes. Moreover‚ the analysis proposed how the different data mining techniques can be used in detection of different form of frauds. The analysis gave the advantages and disadvantages of using data mining in different operation. The major advantage was that data mining enables analysis of large quantities
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sweeteners and it accounts for high portion of sales. However‚ the bottlers are allowed to handle the non-cola brands as well and they have the right to decide on final retail pricing; and top bottlers get contribution from the main companies such as Coca-Cola. 2. How has the competition between Coke and Pepsi affected the industry’s profits? In the 1980s‚ Cola Wars between Coke and Pepsi started to heat up. To get more profits than the other‚ they tried in doing so many things such as a huge
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20 August 2013 Leonard v. Pepsi Cola The Assigned case that I am to discuss is Leonard v. Pepsi Cola. In this paper I will discuss the facts of the case‚ the history‚ issues the court had to decide‚ the holding or the answer to the questions‚ the reasoning the court used to justify the decision‚ and finally the results and the judgment. The Facts is the Leonard sued Pepsi Co for refusing a formal demand to honor its offer. The history of this case is; Pepsi Co ran a promotional campaign
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Troy Wilson* suggest a way for preserving and enhancing the value of exploration data E very year explorationists‚ industrywide‚ collect billions of dollars worth of data. Yet‚ when it comes time for geologists to extract value from their information‚ they often find that value has been lost through poor practices in data management. There is no reliable record of the data that has been collected or data is not where it should be - it has been misplaced or corrupted. Re-assembling information
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for industry profitability‚ an analysis of the five competitive forces offers an explanation for the success of the soft drink (CP) industry. The soft drink industry benefits from generally benign forces. Colas characterized the first 50+ years of the soft drink industry‚ with Coke and Pepsi accounting for the top brand names. While substitutes for soft drinks certainly exist‚ the major players in the CP industry have successfully shaped this competitive force in their favor‚ by changing the arenas
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their product. My Biology 141 class challenged people to do the Pepsi/Coke challenge to see if they were cable in distinguishing between Cola products Pepsi and Coke even if they had recently brushed their teeth or not. There were two hypotheses to test. The first one being that there is a difference between brushing your teeth and not brushing your teeth‚ within the last thirty minutes‚ in their ability to distinguish between Pepsi and Coke. The second one was that there is no difference between brushing
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Limitations of Data Mining Data mining is one of the more efficient tools when it comes to looking for specific characteristics over large amounts of data. It is as simple as typing in certain keywords and the words being highlighted in certain articles and other data. Data mining however‚ is not nearly a perfect process. It has certain limitations and capabilities that can vary by situation. The article N.Y. bomb plot highlights limitations of data mining‚ brought up a few very good points
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