Indeed data and information are separate A lot of data exists around us Until

Indeed data and information are separate a lot of

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Thanks for your blog post, Whitney! Indeed, data and information are separate. A lot of data exists around us. Until the time this data is not processed or structured to make it useful, we can not call it information. There needs to be some value taken out of the data to make it useful. For example, an online shop owner might have all the data on which customers bought how many items of what, at what times, etc. However, this is still just data. Till the time he does not make a deliberate effort to make it useful and drive value from it, it may not be information. The moment, for example, he uses the data to find out information like his sales go up during the weekends, or certain items are more popular among certain age groups, they are still in data and not information. Companies today sit on a tremendous amount of data. Some of the most powerful companies in the world today are so because of the data they possess – Facebook and Google are two classic examples. However, they are powerful not because they possess all this data, but also because they are deriving useful value from it and turning it into information – and they are experts at it. Similarly, your local grocery chain also has a lot of data, but till the time they do not derive value from it, it is not information.
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Thanks for your blog post! You do raise an interesting point. I particularly like how you broaden the definition of information to communication not just between humans and living beings, to include machines as well. A classic example that comes to mind is the use of chatbots. We communicate with chatbots on multiple occasions nowadays and even the way the information we try to communicate can be interpreted by different chatbots differently depending on how they are trained.
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