What is Variety in Terms of Big Data?
In terms of big data and big analytics, what exactly is variety? This is a question that may have an answer different for different people. For some, understanding this question means having a quick overview of what is meant by “big data”. For others, understanding this concept could mean having to go deep into the philosophical arguments about its meaning. In any case, understanding how to think about big data is a complex endeavor, one that often defies easy categorization.
The crux of the matter is that big data can be both unstructured and structured. It may involve the collection of raw unstructured data, for example; or it may involve the construction of highly custom web applications. In any case, when it comes to unstructured data, what is variety in big data is that it can be anything, including:
In terms of structured, big data, what is the variety means that it can be anything structured. Some examples of structured data may include customer lists, property tax data, utility bills, and so on. In any case, what is variety in big data means that whatever it is, it can be organized in such a way as to make it easy to perform certain tasks. This may mean developing and deploying substitute products or simply making it a point to map it all into a common format so that everyone involved in the project can understand what’s going on.
In other words, what is variety in terms of big data is that it makes life easier for those who are managing it. Take, for example, the issue of extracting useful information from unstructured data sets. If you have an online retail operation, what is the likelihood that one of your customers goes out of the site without ordering anything? That probability is going to be influenced greatly by the ease with which you can collect and make data related to them available to you. What if you need to employ someone to do this task? Without the unstructured data in hand, will you be able to select one of your sales individuals based solely on his or her ability to gather information and present it in a way that helps your business run more efficiently?
Without the data in hand to base your selection criteria on, how are you ever going to be able to select the most effective sales person for the job? The answer is simple. You need to be able to make use of the variety in big data to make your job simpler and more direct. Without the unstructured data in hand, you would have to select one person on the basis of some arbitrary criterion-for example, you may consider a sales person’s gender, skills, and so on.
This arbitrary selection criterion is, of course, completely useless. How can you make it relevant? By using big data to make your selection criteria more relevant. More relevant in the context of your business, of course, would mean choosing someone who has the necessary skills that fit well with the tasks that you have in hand.
One other interesting aspect of big data is its potential applications. There are very many instances where you would want to use this data to make your business more efficient. One such application is for decision making. A good example of such a decision making task would be the selection of which employees would be best for particular tasks. You may use this data to choose employees better suited to perform certain tasks. This application may well prove useful in terms of reducing the stress levels of your business operations.
So, what is variety? It is the ability to extract value from large amounts of data. In the context of business, data is used to make a lot of different decisions regarding your business operations. Examples of data include sales figures, inventory information, customer lists, and so on. Today, huge amounts of data are available and the data mining skills necessary to access and extract value from this data is in high demand. Today, anyone who wants to get ahead in business must develop a skill to use big data in their own business in order to get ahead in terms of quality, speed, accuracy, and the like.