Data mining proposal-case of coca-cola

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Reference no: EM132932800

Data Mining Proposal: Case of Coca-Cola  

Data collection from Coco-Cola is to gain business insights such as sales, profits, sales, customer base, etc.

  1. The goal of Coca-Cola is to allow predictive insights about consumers from large databases, enabling Coca-Cola to learn more about their customers. For example, an e-commerce company could analyze a customer's past purchases, make more relevant product recommendations, and then use analytics to target advertising.
  2. The second goal is to operate on - or in the cloud is a system that combines data from various sources within an organization. Cluster analysis allows data to be collected about a specific user group from multiple sources, such as social media, email, and other data sources.

Question below-

Your submission will be assessed according to the content, the logic of your explanations and analysis, and the evidence of your gained knowledge. In the professional realm, however, the communication of ideas is also important. Therefore, your submission will also be assessed on the way your ideas are presented to the audience (in this case, the management of the selected company). Remember that management may not have the same level of data knowledge that you do, particularly with the use of specialized language.

A. Visualization: Effectively communicate your insights and conclusions using appropriate visualizations and depictions of data possibilities.

B. Presentation: Present your proposal in a report to ensure your audience understands the value of your initiative.

Remember that a proposal is meant to be accepted, so you will need to employ language and communication techniques that are likely to meet your audience's needs.

 

 

Reference no: EM132932800

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