8 Comments

Data, the Google of Semantic Web

Data, a simple concept of numbers, words, codes, databases and information have become the central layer and the point of control within the internet economy. According to Tim O’Reily ‘Data is an Asset and it is the principal asset of competitive power“; hence coined the phrase ‘Data is the next Intel inside’. The Value of such data on the semantic web grows with its users and the content. As the value of user data increases, services are increased providing with more functionality interactivity, enhancing the core data. Typical examples of such services are Google Services, especially Google Analytics.

Various Web Services utilizing the power of data

Google Analytics is an expert web service that which tracks and stores data of every visitor to an individual specified. The complexity of data collected on Google Analytics range from how a user got to the site,  browsing data, geographical location, duration of the stay and the user browser compatibilities. This data is stored on Google’s own servers for easy access, speed and let users control their own data. Importance of data on Google Analytics is that it helps the website owners to make adjustments to web pages and marketing campaigns as well as analyse the entry points to the website.

Websites new visits benchmarked against similar industry

How does this Google Analytic data help out Web sites/businesses?

  • Tracking website revenue – the E-commerce module will provide the business with data such as revenue by channel, revenue by keyword, conversion rate, average order and other vital financial metrics that would support the revenue of a business
  • Effect on Search Engine Optimization  – Identify the keywords which brings in the most traffic and optimize keywords targeting a specific audience to increase the site traffic.
  • Compare historical data – websites are now able to compare seasonal and historical metrics on the site traffic. Comparisons of seasonal key words and traffic sources would allow a site to evaluate where its traffic come from and how to optimize such traffic sources.
  • Improve content with regards to bounce rate – Bounce rate is the percentage of entrances to a site that would result in visitors immediately leaving the site. A higher bounce rate would signify that the content in a certain page aren’t as effective as it could be; hence, improve the site content to increase the duration of a visit and earn a higher revenue.
  • Locate website errors – With Google Analytics website errors can be easily identified and rectified as a broken link or a page on a website would have a negative effect on the user experience, search engine optimization, and the overall revenue.

Challenges of utilizing large-scale data in Google Analytics

  • No direct control or access – Although Google Analytics provide a comprehensive analysis on the Website performance, it cannot be directly accessed through the site. However, it can be accessed through a user account through Google Analytics itself. Also the lack of control of the Analytics creates problems when the site choose to change to another analytics software. In such cases analytics data cannot be imported from Google but have to start from the beginning.
  • Disparities in statistics – Google Analytics have shown discrepancies between its statistics on traffic sources due to different JavaScript on browsers, robots crawling the sites and proxy servers.

Google VP, expressed that

“having access to large amounts of data is in many instances more important than creating great algorithms.”

Google Analytics is undoubtedly one of the most creative tools utilized by Google to harness the power of data to provide a complex business solution. A great reason behind the immense data collection by Google is that they recognize the principle of “Data is the next intel inside” and implement it into profitable applications. Data will be more valuable in the near future as more web applications are developed and the web businesses with most data will gain the competitive advantage.

References 

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8 comments on “Data, the Google of Semantic Web

  1. Data is definitely the base for any semantic web technology to take place. I have done a project recently on exposing some biological data to the semantic web. What I feel is also important is to in- corporate some ontology to it using OWL. Ontology brings more sense to the data and a well built and defined ontology only makes search more effective, efficient and well linked!

    • Yeah I think OWL well definitely have a big hand on web 3.0 as it further develop the communication process between the user and the web. Do you have any online records or research papers on the project you did? I would love to have a read if you have an online copy as to see how semantic web can be further implemented through data, for user benefits!

  2. Hi Hasitha.

    Excellent article! I quite enjoyed this insight into Google Analytics. I have looked at it before, but haven’t been active enough (Read: Managed my time enough) to generate traffic on them to make checking Google Analytics worthwhile. (I have a couple of websites, and mostly just check adsense every few days to make sure my ads don’t get spam click attacked).

    I can agree that being able profile the users that visit is a great tool. YouTube’s ‘Insight’ tool is another that allows you to examine the many different statistics associated with users that watch your videos, including the type of user they are, how long they watch the video and where they clicked from to view it.

    Thanks for writing this, I look forward to the next one.

    Anthony Smith
    anthonysmith4it@gmail.com

    • Thanks Anthony. Yeah I think Google Analytics is a MUST, if you have personal websites. Its key word analysis it self can generate enough traffic and give you solid information on what content brings and traffic and what does not. I think YouTube insight is a similar derivative of Analytics which is specific to it user videos and content. It is not surprising to see that YouTube implemented that kind of data analysis as it was acquired by Google.

      How productive and effective is AdSense for you? because I’ve only read about how it works and haven’t quite used it myself!

      • Adsense for me is…not very effective.

        This is largely due to the fact that I simply haven’t had time to manage my websites. But for me, it was largely a learning experience to purchase web space, building a website and of course, applying for Adsense.

        I might try looking into a different advertisement partner service. Such as those that count impressions rather than clicks.

        After I finish Uni, I hope to try a few different ideas for blog websites and forums and hopefully start up something I’ll be able to maintain in my free time.

        Anthony Smith
        http://anthonysmith4it.wordpress.com

  3. Really liking this. Not too much text, suitable and attractive images to compliment the content and solid writing here. Well done, I liked this article.

    • Thank you Johnathan, much appreciated your feedback. May I ask if you have heard or used Google Analytics before? I’m just interested to see if people have actually heard and used it before? or if it’s generally unheard of!

  4. Reblogged this on Engage and commented:
    Now, how to use this data to improve the blog. – – lw ;?)

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