How Big Data Works
More than 4,2 billion websites exist on the World Wide Web. Each individual collects more, sometimes less information - and thus data. Big Data therefore is on everyone's lips. The talk is of enormous amounts of data, which are produced on the Internet or in other networks, accumulate in databases and are available there.
Above all, social media platforms, forums and blogs invite the user to exchange views, express opinions, products or Company to rate, share photos or videos and generate data and continue to grow the social web.
The era of social exchange ... online
The possibility of social online exchange seems to inspire users to interact, to share, to share, to expose the resulting data exponentially. The social web feeds on everyday topics such as shopping, travel, education and health.
On average, every Internet user spends 2,5 hours a day on social media platforms. The data that he produces does not only make ever-larger data processing and storage servers necessary, but also reveals information about him.
This includes his preferences, fears, experiences and wishes. In this way, the platforms are better acquainted with it, as well as influencing the decisions of other users.
Let the data speak
Facebook, as the world's largest online community, collects more data through its API than any other social network. The "Like" button on the platform is pressed 2,7 billion times a day. 2,5 millions of content are created per minute.
With each click, post and comment, the information about the users increases, condense and reveal more.
What data are collected by HR platforms?
But also HR platforms such as LinkedIn collect large amounts of data about their users. For example, 22 percent of LinkedIn users between 500-999 have connections to others on the network.
Connecting to 301-499 people have 19 percent. This "Professional Data" helps LinkedIn to create eg their "Economic Graph".
Predicting the future with Big Data?
LinkedIn defines it as "digital mapping of the global economy to connect talent with an opportunity at massive scale". Here, too, the realization succeeds only thanks to the huge volume of data - "massive scale".
Google can forecast the development of unemployment as a result of the search queries. But Facebook knows who will fall in love.
But what language do they speak?
"The expansion of communication in digital space [...] calls for new methods and tools of analysis", says Prof. Dr. Dr. Thomas Schildhauer from the Institute for Internet and Society of the Humboldt University in Berlin.
Because, of course, there is an outstanding data density in the social web, but it is usually unstructured information. In order to actually generate the optimum from Social Big Data, the goal is to monitor and analyze.
Already since the beginning of the millennium there have been professional social media consultations and monitoring providers, which invest tools and time into a well-founded analysis.
It is gratifying that, over the course of time, the awareness of companies has sharpened considerably in the importance and potential of social data from the Internet.
The complexity of the analyzes has increased
However, the complexity of the analysis and monitoring has also increased enormously. The amount of data produced on forums, blogs and platforms is growing steadily. So also the specialization of the individual channels.
I would recommend any company to use a professional and coordinated social media listening system that combines automatic identification with an analytical interpretation. Google Alerts are no longer sufficient for the professional area.
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