2 years ago
Goyo
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Big Data - How to employ it?
The following is what I have noted from Big Data: 1) Big Data cannot be scalable nor practical if done by people. There is a rise in data scientists but they are not the real important parts. The real important area comes from algorithms that break down the data into easier to understand patterns. 2) It is recommendable to investigate into many of the rising (if not large) data analysis companies. This might make it more plausible for a small to medium sized company, like us, to actually be able to employ big data. 3) Content marketing through big data can be done in a variety of ways. It seems though that the common things may be things like following: a) Keyword progressions b) Universal search standing c) Local SEO d) Social SEO e) Mobile SEO (don't really know much what this means... anyone?) f) Global SEO g) SEO ROI As far as viral marketing/content marketing, these may be some of the basics of the data that we need to track in order to apply big data mentality. Of course, there is a lot I am missing, but still lol. 4) This may not be plausible, unless we create an idea of what data we want, the reasoning behind it, and how we can apply it.
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Hmm, I think mobile SEO refers to when you have a separate mobile website that requires you to make the URLS search engine friendly as well? Though almost all websites are now responsive and have the same URL for web and mobile. Do search engines have different guidelines for web and mobile? I have no idea now...
I found some more info at https://developers.google.com/webmasters/mobile-sites/mobile-seo/?hl=en The more I think about it, the more I realize how important this is since everything is now mobile...
@TechAtHeart as of right now, there is no difference in how a mobile vs web is crawled. However, SEO does take into account spending time, loading time, etc and if your page is not mobile friendly, well then you are going to get killed with those numbers. That in turn will affect SEO
Now days, BigData in Korea is that one is Public Data, the other is Social Data.