Rise Of Social Media Platforms
With more than 2.4 billion members, Facebook is the world's most popular social networking site. WhatsApp and YouTube are the other social media networks; each has more than one billion members. Additionally, there are 7.7 billion individuals around the globe, and at least 3.5 billion of them are online, which is a vast number! This indicates that over two-thirds of internet users and one in every three people worldwide utilize social media sites.
But with the wide usage comes the great challenge of massive datasets and of extracting insights from them. Here in this blog, we'll see how we can use data science and social media together and leverage the benefit.
Concept Of Data Science
Organizations that gather data constantly focus on data science because it is essential to utilize that data. To extract valuable insights from the data stores and use those insights to fuel business expansion, these firms require data science expertise.
Additionally, as more sources enter the picture, the amount of data being stored is increasing daily. Also, it needs to be updated to create infrastructure for data storage on-site and then process the data over time to uncover insights. As a result, storage-capable frameworks like Hadoop have become more and more popular.
Further, companies are increasingly emphasizing using advanced analytics technologies to handle the data more effectively. With this being said, let's see data science and social media working together.
How Data Science And Social Media Work Together
As we've mentioned earlier, social media is the pool of data. This data is to be used by marketers to understand the consumer's needs better. But, getting lost in the pool of data is irrelevant. Instead, we can apply the concept of data science in social media to understand the better and, most importantly, easily. Let's see different ways how to club data science and social media together.
Helps In Micro-Targeting
Social media is the perfect place to get millions of followers from all over the world. But as a brand from a particular location like India, you won't require followers from UAE or Singapore because the audience at that location won't be the lead of your products. So now, the question arises, how to find the correct audience for your brand and where to connect with them?
Analyzing the audience data manually can be an extremely tedious task, and thus, one can try using the application of data science in social media. Yes, because with data science, one can easily extract useful data and analyze the same. Not only that, but with data science algorithms, you can identify topics discussed on social media platforms regarding your niche. This will help you identify where your target audience is active, either Instagram, Facebook, Pinterest, etc.
Apart from this, with the help of sentiment analysis, you can always find the reaction of your audience to your brand's products and services.
Understand What Your Customers Like
Millennials have admitted that their purchasing decision depends on what they see on social media. But, with so much data already, there's no need to ask your audience to fill up the survey form and then analyze the situation. With data science concepts, one can directly use the already available information to make sense of data.
For example, the car company applied an algorithm to know what the audience wanted from the car. And with that feature, they created their brand slogans and creative taglines to provide what the audience is exactly demanding.
Concept Of Influencer Marketing
Influencer marketing is one of the best ways to connect to a new target audience. But selecting the right influencer in an era where every other person claims to be an influencer is tough. With the application of data science, the process can become easier. The algorithm first identifies the target audience of the brand. And then runs the algorithm on influencers and predicts the likelihood of the same interest in the niche.
With this, we saw three ways of developing a combination of data science and social media. Now, let's see some of the benefits or use cases of data science and social media.
Advantages Of Data Science And Social Media Are Together
Improved Decision Making
With a proper understanding of data due to algorithms, it is easier to reveal trends and patterns in data. The analysis also helps in understanding business risks and making informed decisions for the organization.
Linking data science and social media leads to smart analysis. Machine learning algorithms perform intelligent analysis on videos and photos and thus enable capturing market demand more quickly.
Scientific And Medical Information
In the healthcare sector, social media is essential for reducing misinformation, giving real-time public updates, and raising public knowledge of health-related concerns. Public healthcare associations, educational researchers, and scientists use data science to take advantage of the availability and accessibility of information for learning, collaboration, and the recruitment of analysis participants.
Better Marketing Strategy
Data science and social media analytics are employed together to help marketing efforts. The success of campaigns is monitored using these technologies, and marketing performance KPIs are measured. These tools are used to provide contextualized, tailored adverts and content depending on customer sentiment.
With this, we would say, the usage of social media and digital marketing has drastically changed the classic methods of communication that were being used. It has created many opportunities in different fields, from data science experts to guide and support in anything from academic research and health teaching to digital marketing and content creation. You can check out the best data science course that helps both existing and future job routes for people looking to expand their knowledge of data science and social media.