How Are Big Data Collected and Used?

how is big data collected

How Are Big Data Collected and Used?

There has been a lot of discussion on the impact of big data and its potential to change the way we make decisions. The common question is, how is big data collected and used? There are three basic methods for collecting big data and they are off-site, online, and phone sensors. These are discussed below. The type of method that will be best suited to a given situation will depend on the nature and resources available.

Off-site data processing involves gathering different types of unstructured data from a variety of sources and then analyzing it through various algorithms. The advantage of this off-site processing is that it is simple. However, it also consumes a lot of time because it needs to travel through different networks. This type of data processing is used mostly for business applications. Examples of these applications include customer insight, which seeks to understand consumer sentiment about the products and services that a company offers.

Online data analysis helps a company to collect and organize large amounts of unstructured or qualitative data and then use this information to support business decisions. It involves mathematical techniques and statistical methods. Information that can be analyzed using this method includes demographics, market surveys, advertisements, and existing customer relationships. This type of big data analytics is best applied to address special problems associated with a small and/or limited set of markets.

Phone sensors can be installed in any place where people gather their personal information. This allows for collecting big data analytics using a variety of technologies including GPS, radio waves, and computer sensors. The collected information from these sensors, however, cannot be used for direct marketing purposes as it contains private, personal information. Rather, it must be used to support smart phone applications such as location-based services and e-commerce transactions.

A company may use the information gathered by these devices to determine how income levels and consumption patterns vary by state and locality. This would allow a company to determine its local reach and ability to compete against local competitors. It can also be used to provide customized services to target customers in certain areas. This would help the company to more effectively sell to these individuals. By using big data analysis, a company is better able to improve customer service, attract new customers, and close the sale. In turn, this improves the company’s bottom line.

With the rise of cloud computing, companies are realizing the importance of having an IT department that is fully equipped to implement, maintain, and understand big data management. They require trained professionals who can handle the complex requirements for deployment, maintenance, and support. These experts should be well versed in the latest server and database technologies.

Companies that want to succeed should take the time to train their own employees how is big data applied. Only then can they be fully prepared to embrace the opportunities that await them. The first step is to have a company-wide consultation where all employees will get an opportunity to learn how data sets are collected, analyzed, and used. Trainings should include not only theoretical knowledge but also hadoop itself, how it is used, and how it is stored. The basic idea is to show employees how big data-driven processes are vital to the success of any business.

When looking for a prospective candidate for a position within an IT department, ask what his or her priorities are. If he or she believes that having a solid computer science background is crucial, show him or her that a large number of industry experts believe that a business can achieve significant cost savings through data management and structured planning. Show the candidate that a big data analysis training program can be a key to the success of a business. If possible, the candidate should be shown specific examples of successful enterprises that use structured planning and IT. If someone can demonstrate how important it is to have a well thought out and implemented data management strategy, he or she should definitely be considered for a management role.