Big Data is only as valuable as the information it contains; information removes uncertainty all the answers that your data provides – whether on business, weather, sports or quantum physics. Using the information, people are able to make smarter decisions, and technology exerts algorithms more efficiently.
Many factors determine the amount of information that contains your data – quality of data collection, how it is encoded and processed, precision, it is analyzed and used. In large data sets, it is even possible for the amount of information to reduce the amount of data grows – because of greater uncertainty – resulting in poor decisions. This is especially true if your data is dirty and fragmented.
Can you have too much information?
First, you must answer the question: “How much information do I need” More information is that which is convenient to use in Geneva, Switzerland, sensitive detectors?. to the extent Large Hadron Collider – with incredible precision – the movement of very small objects, but sometimes all you need to know is whether the pitch was a ball or a strike
once. you know how much information is required, you must consider where information is lost from your data. to help you preserve as much information as possible, we have provided the following image shows the main causes of loss information.
the measurement produces data that people and technology to comment.
measures taken with a high-quality instrumentation produce more information with greater accuracy and less uncertainty. Better instruments collect a higher number of events on the total number of desired events, and they are able to describe objects in more detail. You can consider how the quality measurement affects the value of information using everyday examples like:
- The speed of a passing car,
- the number of videos played by a digital media player,
- the atmospheric pressure, or
- the number of steps taken in a day.
In each of these examples, the different instruments can take steps with a more or less accurately. For example, a speedometer used tire rotation to calculate the speed of a car. Under normal conditions, a speedometer is 2 percent of the real speed; however, the tire diameter change and environmental conditions can make this measure failed by more than 10 percent. Police officers use electromagnetic waves to determine the speed of your vehicle, but these instruments are also subject to variations in the quality measure. It’s easy to see why having better information about your actual speed could prove invaluable.
amount of information increases as the order becomes more granular. Examples include measurement scale time (daily, hourly, milliseconds, etc.) and location (state, city, geospatial coordinates, etc.). More information about the time and place is usually best, but the volumes of data grow rapidly when measuring objects in fine detail. Take you, for example. Your name, address and payment method are enough information to receive most services you use every day, including public services and media subscriptions, as well as make the most purchases. A deeper level measurement reveals information about you that traders are particularly valuable, including age, sex, entertainment, media consumption and spending habits. But information you can get much more granular yet. If the purpose of the measure is to diagnose your health, MRI or scanner can be used to capture enough information to prescribe the right treatment. The fair granularity measurement will be determined by your purpose for collecting the data.
You will get maximum information from your data with more precision instrumentation to measure the level of granularity. This reduces uncertainty and makes your valuable data, it can be.
In future posts I’ll show you how the information is lost by the coding, processing and analyzing data.