Coca Cola Data Collection

4.1- Data Collection
Data collection is one of the most important stage in conducting a research. A company can have the best research design in the world but if it cannot collect the required data, it will be not be able to complete its project. Data collection starts with determining what kind of data required followed by the selection of a sample from a certain population. After that, the company will need to use a certain instrument to collect the data from the selected sample. Collecting data stage, there are many different ways to collect data. The two most common and important methods involve interviews and observation. Interviews require asking questions and receiving back responses. Receive responses through face to face, by mail,

Coca Cola Company used 3 different formulations, which it tested against traditional Coke and Pepsi. Of the 200,000 consumers who took the test, just 40,000 actually was able to taste the new coke formula and preferred it blind which was then introduced, but the consumers did not have an idea of what they were tasting. Consumers did not know that these tests were indicators to Coca Cola to whether they will introduce the new Coke formula or not.
As the taste tests took place, a majority of consumers, about 53% versus 47% who tasted both the old and new Coke liked the new Coke formula better than the original formula. This result was apparently influential in the Coca Cola’s decision to use this new formula and replace the old one.
Coca Cola also surveyed a different set of consumers to see whether or not they liked it. They conducted surveys that were made of simple Yes/No questions. Coca Cola went ahead with what is known as the 80/20 rule which is the small minority buys are usually accounted for the bigger

461) which suggests involving observation and analysis of more than one statistical result at a time. In Coca Cola’s case, the technique will be used to construct multiple variations that all recite the Cola’s new and old flavours and the current brand perception in the loyal consumer and the average consumer. Verifying the variables, marketers can use the inverse design approach to treat every variable as an independent component of the test. With that, a full analysis of alternatives should be imposed for marketers to uncover the concepts of a customer needs to the fullest. Instead of assuming that the first hypothesis is in fact accurate, marketers will need to also analyze those very same concepts, but with retrospect of perhaps changing scenarios or change of mind to ensure and gain the idea of the consumer’s perception of Coca Cola. (Malthotra, Baalbaki, & Bechwati, 2010, pp.