Ground Breaking Benefits of Information Analysis

Ground Breaking Benefits of Information AnalysisImagine you could use your exposure and your vast pool of knowledge to make incredibly accurate forecasts. What if these predictions could save a life? The new hot app “MyShake” allows analyst experts to do just that. The app does not require anything from its consumers, but for the consumers to want to voluntarily assist in earthquake prevention. You simply install the app and the phone tracks rumbling or vibrations that are similar to that of an earthquake. In real time the analysts can see groups of many phones rumbling and accurately predict the severity of the earthquake as well as send warnings to those with the apps. Good information analysis is done when all that is required is that people actually want your product. There are already there because you understand what they want and you are providing them with this. This is much more cost effective than to having to bribe consumers with numerous benefits to collect your information.

In order to have accurate predictions you need a lot of information, and the proper expert analysts to make the information useful. Both of those clearly take time and money. In order to reduce the cost of collecting information as much as possible, your customer has to want to give you that information willingly and effortlessly. This is how unlimited exposure works. The beginning of your information history is collected from when a consumer first visits your website. Once a bit of history is established the changes in viewer patterns can be properly be processed by analysts. The visitors to your website are giving you information for free in the form of general approval or disapproval of an idea or topic. If a topic is gaining a lot of reach then the trend analysts will take notice. As well if an idea is being rejected analysts can discover this without having ever spoken to the customer. This goes to show the amazing power of collecting and analyzing information, in particular information your consumer wants to give you or gives you without having knowledge of it. When you suspect food has been tampered with, you will surely be suspicious of whether or not it is good enough to use or eat. The same applies to data, if there is a bias, then the data is considered tainted. This happens sometimes during direct surveys or information directly collected from your customers. This is because of many reasons. Suppose you want to collect information about your consumers who work during the day in offices, if you collected information from people at a mall on a work day at 2pm, the data you collect would not really correspond to the focus of your study. People who have office jobs will not be where you decided to conduct the survey and you have thus collected irrelevant data. You cannot properly make predictions about your consumer if you did not survey or interview the correct consumer. This problem is avoided almost entirely with the data collected indirectly. The trend analysts do not have to worry as they analyze pure information because it is not exposed to possible bias. This data is then collected, analyzed and used to improve your content which, in essence establishes a better user experience and really that's all that matters.

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