Big Data Collected From Social Media – How Is Big Data Used Today?
What is Big Data? Today, anything you can imagine comes across the word big Data. This results to the more common question: what is big Data? And today, let us try to fully understand what big Data is. In this article, we will try to answer the question; How is Big Data Used in Automotive Industry?
Big Data has emerged as a crucial tool for providing real-time insights into critical business areas. Big Data can be defined as unstructured or unprocessed data that is processed and analyzed quickly and in parallel by highly trained computer systems. The result of big Data analytics is tangible benefits for both customers and manufacturers alike.
How is big Data collected and used for Social Media Marketing? Social media marketing is a new breed of online marketing strategies that involves gathering and analyzing large amounts of unstructured big Data. For example: A user creates a post on a social media website and within seconds, the post is visible to millions of users; the post is also indexed by popular search engines such as Google, Yahoo and Bing. All these remarkable capabilities allow users to find what they are looking for, when they are looking for it.
What are the different types of big Data collected and used in social media Marketing? There are two main types of big Data collected and used in social media Marketing: qualitative data strategy and quantitative data strategy. The first one refers to how the information is collected; while the latter refers to how the information is used. We will go over each of them below:
With qualitative data collected strategy, users sign up to be part of an online community or network. They create a profile that provides details about their likes, dislikes, hobbies, skills and other personal information. They can then be connected to other users who are also interested in the same things. They can share photos, videos, links, text and other unstructured data collected from all over the internet. The more the number of people you connect with, the more chances you have to sell your product or service. This strategy connects hundreds of thousands of people to your website or blog.
Quantitative data collected strategy is more of an analytical process rather than a social one. The collected big data includes customer behavior, demographics, purchases made and so on. Experts who specialize in this field conduct research on the collected data using sophisticated analytical tools and approach to develop new products and services based on their insights. Some of the popular insights are the following:
Understanding how big data collected strategy connects the consumer’s data to the business’s needs and objectives is crucial for businesses to successfully sell their products or services. In the automotive industry, the biggest insight lies in understanding the consumer’s data and the relationship between it and the decisions being made by the car owners. It has been found out that how the car owner navigates the car is more influential in choosing the car he or she drives. The car owner’s data, found during a survey conducted by some experts, indicated that how the user experiences the car’s design, color, interior features, quality, safety, comfort, features, etc., reflects the car owner’s perception of how a vehicle would perform in specific situations. The car’s features such as passenger safety, performance, price, gas mileage, accidents, and others are measured using big data collected from the customer’s perspective.
Data has always been the core component of how we collect, manage and use information. From the earliest days of how we collect data to how we use it to generate value, every single piece of information has been shaped by human interaction. Nowadays, we have technologies that enable us to collect and process data in unprecedented ways. Big data will be the trend in managing and organizing information going forward. Businesses and organizations will start realizing the potential benefits of this flexible approach to collect structured data from a wide range of sources.