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Big Data: Fundamental for e-Commerce

Posted: Thu Jan 23, 2025 5:10 am
by suhasini523
Big Data
Contents
1 What is Big Data and what is it used for?
1.1 Fundamental aspects of Big Data
2 Big Data Adoption
3 Big Data Perspectives for a Content Manager
3.1 Importance of a Content Marketing agency to achieve results
4 What Influence Does Big Data Have on Content Marketing?
4.1 Changes in Content Type
4.2 Content Went From “Art” To “Science”
4.3 Offering a Competitive Advantage to Brands
5 Contributions of Big Data to your Content Strategy
5.1 Content Planning
5.1.1 Steps to follow
5.2 Produce the Content
5.2.1 1. Create content ideas based nepal whatsapp resource on the data you already have
5.2.2 2. Testing headlines with A/B tests
5.3 Evaluate the Content
6 Big Data: Massive data processing for eCommerce
6.1 Optimal and personalized customer service
6.2 Decisions based on real data and not assumptions
6.3 Teaches the way to lead a Marketing strategy
6.4 Optimizing sales channels to improve user experience
7 Big Data: real examples
7.1 Data processing helped Barack Obama win the election
7.1.1 Contribution of Big Data
7.2 Macy's: Transformation of traditional department stores
7.3 Amazon
Big Data as a trend has been established in the market for a couple of years now, becoming the most genuine solution that technology has been able to offer to e-commerce owners.

It is the art of dealing with massive amounts of data and translating it into usable information. This is an action that provides great competitive advantages for those who use it correctly.

Given all the advantages it offers to e-commerce, Big Data is essential for online businesses that aim to improve sales by enhancing the user experience.

In some countries, eCommerce is already an established trend, while in others it is just beginning to take its first steps, especially in Latin America. That is why we believe it is essential to disseminate and create content that explains the benefits of Big Data for this type of online business.

Due to the urgent need to know details about the online user or consumer, data analysis techniques have been established for some time now.

Everything changed when the Internet began to expose an unlimited amount of information quickly and without time to process so much data at the same time. Big Data was born with the idea of ​​living and experiencing the era of “real time” and that is the main advantage it offers today.



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What is Big Data and what is it used for?
Big Data is born from the need to process high volumes of data that the software used to do this job could not handle at the time. The term itself refers to the translation of structured and unstructured data.

Structured data is information that can be easily processed and defined in a spreadsheet or database. It can include names, times, numbers, actions and ratings made by users who visit the eCommerce site.

In contrast, unstructured data is characterized by not having a specific format, and tends to be information stored in audio or video multimedia files, or longer PDF documents.

Fundamental aspects of Big Data
Data interpretation is based mainly on 4 fundamental aspects, which are known in the world of Digital Marketing as the 4 V 's :

Volume : This refers to the processing of data in quantity and is the main characteristic that defines it. With the level of interaction and everything that involves the behavior of more than 3.2 billion Internet users, it is necessary to apply big data in any aspect of online commerce. In addition to translating data in bulk in seconds.
Variety : Big Data is capable of translating data from different sources, you can know the origins of both structured and unstructured data. The second is another of the characteristics that have made data management an indispensable process for online businesses. Unstructured data can be: videos, emails, photos, sound files, etc.
Speed : This refers to the time it takes to translate high volumes of data . Imagine the billions of data that must be processed every second, now compare how quickly you can have that data translated into understandable information. There is no way to match the speed with which Big Data processes as much information as possible.
Veracity: This is about the fact that data is not altered when processed. Is the information presented exactly as the original data says? Those responsible for Big Data, and surely you too, will wonder if the translation is explicitly related to the original structured and unstructured data.
Another notable feature of high volume data processing is that its processing is unalterable. So, in relation to the fourth point, there should be no doubt.