The Process Of Producing And Collecting Informational Products
Information is one of the essential ingredients for analysis, synthesis and learning. Information has been called the element which is the basis for all science. Without information, all the sciences could not be understood. “The more I learn the less I am confused” is an old proverb. So it goes with data analysis and scientific data analysis.
In a broader sense, information is processed, structured and organised data with a purpose of providing meaning. It enables effective decision making and gives context to previously processed data. For instance, a particular consumer’s sale in a restaurant is information it is a subset of the total sales of that particular customer in the past.
But how does it help you? How do you make sense of what is currently happening in the world around you? How do you evaluate the performance of your favourite athletes? How can you explain the increasing gaps between reports and real world events in financial markets? How do you explain the recent increase in obesity among children? How do you explain the increasing gap between student performance in schools?
The challenge for many scientists and researchers in science is providing good information. Information science has a very important role in this process. This is because good information is necessary in order to make progress and to understand the world around us better. Unfortunately, a lot of information produced each day is of low quality and is almost certainly not accurate.
It is very easy to look up the scientific citation for a scientific paper and check if its data is correct. However, what happens when you want to know more about an aspect of a product or a business? If you try to collect the information yourself, you will end up looking at different sets of data and information. As a result you will miss out on some important pieces of information. This is why scientists now use databases such as citation databases and information-gathering tools.
No matter how much information you have collected, how valuable it is, how accurate it is, and what you plan to do with it, information still needs to be processed. In this sense information science is quite similar to commerce. You have information that you have collected and you need to turn this information into something useful. Your first step should be to process the data and information that you have. This will allow you to make a decision about the kind of products that you will launch and how you will sell them. After this, all you have to do is market the products and convince people to buy them.