The Importance of Big Data in Business Development through SEO Strategy

Big Data can be a bridge to optimize SEO business strategies (Photos by Pexels).

Big Data has become an important factor in the ever-evolving digital world. In the context of business, for example, many of the potentials of Big Data are starting to spread to companies, organizations or individuals. For instance, NFT and Crypto business transactions, analyzing content search trends on social media or analyzing user experience of various products or services, helping the efficiency of SEO marketing strategies and many more.

In short, the concept of Big Data includes three main dimensions: the volume or large amount of data generated, the speed at which data is generated and must be processed, and the diversity of various types of data generated. Big Data analytics unearths the information, patterns, trends, and insights contained in the data. In many cases, Big Data is analyzed using machine learning algorithms and artificial intelligence to reveal new insights, predict future events, or make better decisions.

In addition, in this digital era, Big Data also has extensive and diverse tremendous potential for companies and organizations in their business development. One of them is applied in the context of SEO (Search Engine Optimization) strategies. The following are 5 essential points regarding the benefits of big data that can be applied in the context of SEO:

1. Identification of Relevant Keywords

Big data allows companies, organizations, and individuals to identify the most relevant keywords and users’ demands. By analyzing search data collected from search engines, they can find the keywords searched by their target audience. This information helps direct SEO efforts in the right direction, increasing their chances of getting higher rankings.

Suppose an online shoe retail company uses Big Data to identify popular keywords in their industry. After analyzing the search data, they found that the keyword currently having the highest search rate is “best sports shoes.” With this knowledge, the company can optimize their website with more relevant content and product descriptions, thus increasing the likelihood of their shoe retail website appearing more frequently in related search results.

Also read: Big Data: Definition, Examples, and Its Functions.

2. Personalized User or Buyer Experience

Big data allows companies, organizations, and individuals to provide a more personalized user experience through SEO business development strategies. By analyzing behavioral data and user preferences, companies or individuals can customize the content, product recommendations, or website appearance according to the needs of their buyers or users. This personalization increases user or buyer satisfaction, engagement, and builds stronger relationships.

Big Data analytics can help user or buyer satisfaction (Photos by Pexels).

3. Better Content Optimization

Big Data allows companies, organizations, and individuals to optimize their content better. They can understand user trends, preferences, and needs by analysing the data collected. This information directs content development strategies and produces more relevant and engaging material, improving SEO rankings.

For example, a beauty content creator uses Big Data to optimize content. By analyzing search data and user behavior, they find that topics on “POV before and after makeup” are popular. In response, the creator can create and follow trending content on that topic, which is more likely to catch users’ attention and improve their SEO ranking.

4. Deeper Competitor Analysis

Big data allows companies, organizations, and individuals to analyze competitors more deeply. By monitoring competitor data, they can identify successful strategies, gaps that can be exploited, and changing trends in the market. This information provides valuable insights that can be used to optimize SEO strategies and gain a competitive advantage.

5. Data-Driven Decision Making

Big Data enables companies, organizations, and individuals to take data-backed decisions in their SEO business development strategies. By analyzing relevant data, they can gain insights into the effectiveness of executing strategies, changing market trends, and user preferences. These data-driven decisions help optimize SEO strategies, improve business performance, and achieve set goals.

For example, an online media business owner uses Big Data analysis (analytic review) for a month on social media (Youtube, Instagram, and Tiktok), how much income they get, what content has many views, what content has few likes, and what content has a long watch time. Through such analysis, the owner can better understand customer preferences, the most profitable keywords, and high content trends. Such online media owners will be able to direct their SEO efforts and optimize their marketing strategies to achieve even better results.

Also read: Majoring in Data Science to Become a Data Scientist.

So, those are 5 crucial points about the importance of big data that can be applied in SEO business development strategies. The benefits of big data are very important for companies, organizations, and individuals in the business world. By utilizing it effectively, they can identify opportunities, optimize content, and achieve a competitive advantage in their SEO efforts.

For additional information, you can also visit UMN’s official website for other information about UMN, the world of students, lectures, and careers!!!

Sources: 

• Dicoding.com 
• Detik.com 
• Sas.com 

By Iglo Montana | UMN News Service

English translation by Levina Chrestella Theodora

Kuliah di Jakarta untuk jurusan program studi Informatika | Sistem Informasi | Teknik Komputer | Teknik Elektro | Teknik Fisika | Akuntansi | Manajemen| Komunikasi Strategis | Jurnalistik | Desain Komunikasi Visual | Film dan Animasi | Arsitektur | D3 Perhotelan , di Universitas Multimedia Nusantara. www.umn.ac.id