Abstract
Big data has a massive impact on the world today, publicly and in the business province. SEO (Search Engine Optimization) is one of the areas of intelligent business marketing that is continuously affected by the insights. Big data makes it easier for search engines to analyze the content and deliver results that are relevant to user needs. Search engine optimization takes into account how search engines work, the computer-programmed algorithms that govern look search engine behavior, what users search for, and the actual search keywords submitted into search engines. Search engines are always preferred by their targeted audience. Big data analytics is obliging to increase website traffic. This really helps to apply intelligence in business areas. This chapter deals with big data analytics for SEO in intelligent business.
TopIntroduction
Important marketing decisions in intelligent business are determined by big data. This refers to the use of large, complicated datasets that typical data processing applications are unable to handle. Big Data analytics examples consist of stock exchanges, social media sites, jet engines, etc. In SEO, big data is really important. The use of big data in conjunction with SEO tactics makes it simple to overcome any challenges. It gives the company much-needed publicity as well as a larger user base. It also increases the probability of a higher conversion rate in the business. According to Ghasemaghaei et al. (2018), “All dimensions, except bigness of data, significantly increase decision efficiency”. Marketers can acquire in-depth insights on a consumer’s requirements and attitude by using business intelligence for marketing. The organization may then use this information to build more profitable marketing efforts, target the correct audience, and achieve the greatest outcomes.
Big Data in Customer Service
Nowadays, customers expect excellent customer experience. Data management plays a vital role for customer relationship management in companies. The data from a customer service and customer experience perspective need an integrated approach. The huge volume of information and data sources regarding customers, and transactions will be useful to find the customers who expect constant experiences. Businesses may use big data analytics to change their connections with customers, promote products more effectively, and boost revenue. Analytics that are properly specified and integrated into business processes enable critical behaviors for digital transformation, including: increased productivity, decision-making based on data. Every second, 1.7 MB of data are generated for each and every person on earth, according to estimates. Organizations are gathering and analyzing data in order to optimize their response to challenges and difficulties. Big data and AI are being invested in by 97.2 percent of businesses.
Search Engine
The search engine is more sophisticated at natural language processing and can better to determine the context behind a user’s search. Companies need to harness the power of big data to identify new opportunities and gain a reasonable edge in search results. A search engine is a web-based application that aids in the discovery of information on the Internet. Popular search engines include Google, Yahoo!, and MSN Search, to name a few. The spiders' data is utilized to generate a searchable index of the Web. Small company owners may utilize SEO to construct quick, sturdy, and user-friendly websites that rank higher in search engines, driving in more qualified potential customers and enhancing conversion rates (Kherbachi et al., 2020).
Big Data
Big data is described as large amounts of data that can only be examined by computers in order to reveal patterns, trends, and associations. Search engines are more upgradeable. They can able to handle large amount of data with high speed. Big Data describe the large amount of data in the networked, digitized, and information driven world.
Today, there are millions of data sources that make data at a speedy rate. These data sources are presented across the world. Social media platforms and networks are some of the most important data sources. For example; Facebook generates more than 500 terabytes of data every day. This data includes pictures, videos, messages, and more.
Data exists in different types or formats, like structured data, semi-structured data, and unstructured data. In Excel sheet, data is classified as structured data with a specific format. In contrast, emails fall under semi-structured. The pictures and videos fall under the type of unstructured data. All this data combined to create Big Data.
Big Data is considered in terms of 3V’s: volume (how much data), velocity (how fast the data is processed), and variety (different formats of data). A small volume of complex data, a huge volume of simple data, or sophisticated analytics and predictions from any kind of data can still benefit from the Big Data technology rejuvenation. The available Big Data today is all about “distributed”, “sharded” which means dividing up jobs into pieces and spreading them over a cluster. The real meaning is an actionable data, actionable information, and actionable intelligence. The following are some reasons why big data is important for digital marketers:
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Real-time customer insights
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Personalized targeting
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Increasing sales
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Improves the efficiency of a marketing campaign
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Budget optimization
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Measuring campaign's results more accurately
Key Terms in this Chapter
Search Engine: A search engine is a program that uses keywords or phrases to help people find information on the web. By continuously monitoring the Internet and indexing every page they visit, search engines can retrieve results quickly, even with millions of websites available.
Keywords: Keywords are topics and concepts that define the subject of your content. They're the words and phrase that people type into search engines, also termed as “search queries,” in terms of SEO. These are your primary keywords if you distil everything on your page down to simple words and phrases—all the pictures, video, copy, and so on.
Ranking: The location of a website in the search engine results page is referred to as ranking.
Big Data Analytics: Big data analytics is the difficult process of analyzing large amounts of data in order to reveal information such as hidden patterns, correlations, market trends, and customer preferences which can help businesses make more informed decisions.
Intelligent Business: Intelligent business is a collection of technologies that integrates business analytics, data mining, visualization of data, data tools and infrastructure, and methods to help companies make much better data-driven outcomes.
Big Data: Big data is a term that refers to massive, various amounts of data that are accumulating at an exponential rate.
Optimization: Optimization is the act of enhancing the performance of your website via the use of tools, technical strategies, and studies in terms of enhancing traffic, sales, and revenues.
Backlinks: Backlinks are hyperlinks that connect one website to another. Backlinks of high quality can enhance a site's ranking and visibility in search engine results (SEO).
Web Traffic: The volume of data sent and received by visitors to a website is known as web traffic. Web traffic has account for the vast majority of internet traffic since the mid-1990s. The number of visitors and the volume of pages they visit determine this result.
SEO: SEO stands for Search Engine Optimization, and it's the process of optimizing a website's technical setting, content relevancy, and link popularity so that its pages would be more easily found, more relevant, more popular in accordance with consumer search queries, and therefore rank higher in the search engines.