Big Data has been defined by Oxford Languages as "extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and...

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Big Data has been defined by Oxford Languages as "extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions."



How is Big Data being used in online marketing and by whom? Provide several specific examples and their corresponding competitive edges. Discuss potential negative impacts to consumers.






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  1. Read and understand the question and address it fully in all its aspects.

  2. The best answers will cite 3+ sources in APA format and contain a solid rationale and/or additional facts for each post.

  3. The best answers will be 500 - 700 words in length for each post.



Answered Same DayMar 31, 2022

Answer To: Big Data has been defined by Oxford Languages as "extremely large data sets that may be analyzed...

Shubham answered on Apr 01 2022
107 Votes
Running Head: ACADEMIC WRITING                            1
ACADEMIC WRITING                                    3
ACADEMIC WRITING
Table of Contents
Use of Big Data    3

Negative impacts of Big Data to consumers    3
References    5
Use of Big Data
Big Data helps the businesses and marketers to understand the consumer’s patterns from different angles and design their strategy in such a manner that they are able to pitch their product which can be recognized, can be easily recalled and improve the online transactions with the product. Big Data has four features responsible for increasing its importance in marketing: (i) Velocity: the speed with which it is stored and formed, (ii) Veracity: the accuracy and quality of information, (iii) Variety: Different types of data like structured, unstructured and semi-structured data are its parts and (iv) Quantity: huge volumes which are created automatically is a collection of all types of consumer movements. According to Gentsch (2018) the consumer behaviour and the related high and lows are business insights, which are complex in nature and cannot be dealt with traditional analytical tools. It helps marketers to create strategies which can attract traffic to websites and target right consumer base.
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