What is considered big data? In an era of instantaneous information, where seemingly tiny bits of data can tell us everything from the location of a speeding vehicle to the contents of a hidden document, big data is becoming more important. We know more about our health as we collect and track all kinds of information – where we go and what we do. As we continue to acquire more data about our world and ourselves, it’s only natural that businesses are starting to harness its power for analysis and action.
So what is big data exactly? It is any sort of information that contains one or more variables – usually numerical – that can be analyzed to provide some sort of information. The primary factors in big data analysis are the use and purpose. The goal is to extract useful information from the huge amount of data, and analyze that information. Variability in data – especially between different time periods – can greatly limit the scope of traditional data analysis.
Data mining is one method that is used for big data analysis. Data mining involves using the massive amounts of data that is available in the internet to search for patterns, anomalies, relationships and correlations – anything that may point to the possibility of a new product or service being sold. It is a collective discipline that involves social scientists, computer programmers, statisticians, business executives, marketing managers and other interested parties.
Data visualization is another way to visualize big data. This tool is heavily used by web companies to visualize information from a variety of sources. Maps and diagrams can be created to represent relationships among variables. Networks can also be visualized, and visualizations can be run on both horizontal and vertical axes. This allows users to have a better understanding of relationships between variables.
Machine learning is a way of training computers to recognize patterns, predict future results and perform a certain task. In a sense, computers are able to replace most of the manual processes that are now involved in decision-making. They are able to process large amounts of unstructured data, and make connections that are not otherwise obvious to the human brain. The main advantage is that this method is relatively simple to implement.
Storage of big data is a challenge. Many companies store large amounts of information on hard drives or other mediums that are difficult to access and recover. This has led to the use of cloud computing, in which information is stored in a different virtual server so that it can be accessed in a timely fashion by any individual that has access to it.
Big data has shown to have an effect on law enforcement agencies. With the increase in data sharing through devices such as laptops and smart phones, law enforcement officers are able to do their job more accurately. Also, because law enforcement needs may be changing, big data is opening doors for government action. For example, companies are allowing law enforcement officials to look at cell phone records in order to help solve crimes.
Some companies have used big data to improve customer service. One of the problems that many people have is not being able to get in touch with a company after a telephone conversation. It may have taken several attempts to get in touch with someone, but by using big data, the problem was identified right away and the company was able to provide a solution for this problem. Likewise, big data can be used to cut expenses. By allowing companies to analyze large amounts of information, companies can determine what they are spending their money on and even eliminate some of these items. As time goes on, big data may become a very important part of all companies.