Data Science To Enhance Enterprise SEO
SEO is an essential aspect of businesses today. It has become a necessity for small and big businesses equally. The organic traffic coming with SEO is among the significant sources of traffic for companies. And it is also the most affordable form of marketing. But what would you do if your website is a mammoth with thousands of pages? It would make it difficult for webmasters to maintain and rank the site with the traditional website management and SEO approach.
How do you solve the problem of volume to rank your website? Data SEO is an upcoming field that tries to address this problem.
Enterprises are flooded with data from all the sources. They have data repositories for the information accumulated over some time. This is a problem of volume.
The information coming from different sources has particular use cases that make sense to improve the enterprise's SEO game. The coming from CRM can be utilized for developing buyer persona and local SEO. The information coming from ERP can be used for maintaining the stock level on the e-commerce site. The data coming from website analytics can be utilized for understanding which pages are performing better. Similarly, all other data sources can be creatively used to improve the SEO of the enterprise website.
The big problem is that this incoming data and information may not be in a structured form. This is a problem of variety.
The information might be coming from various countries if the enterprise is global. That poses the problem of language, currency, etc., and can further result in a significant challenge in handling data. This is a problem of veracity.
This massive quantity of data can be used and utilized by webmasters to improve SEO and hence the website footfall. However, it needs a data engineering approach to manage such data.
Enterprises would need the following data science-related profiles to manage data-driven enterprise websites.
Data engineers: They will help integrate data from different sources of information. They will make data ready in the consumable form for the other steps in the process.
Data scientists: They will perform analysis of raw data as well as create analytical models. They will analyze and improve an existing process for producing predictive models to be applied to new processes.
Data analysts: They will query and process the underlying data prepared by engineers and modeled by scientists to be put to real use. They will create reports, summarize and visualize data that can then be fed to the website.
They will support webmasters and SEO experts by helping them manage the data side of the website well.
