Big Data: Here’s What It Offers


Let us start by understanding what Big data is all about!

Data is technically defined as a series of characters, symbols, or quantities on which any computer performs its operations. This data can be stored or sent in the form of electrical signals as well. Similarly, big data is the general form of data that is huge in size. This is a term that we use in order to define a huge group of data that is growing over time. Moreover, with its size, it is impossible to manage this data with any of the traditional management tools. 

There are several notable examples of big data such as:

  • NY Stock Exchange
    Nearly 1 TB of trade data is generated in the NY stock exchange per day. 
  • Social Media
    Social media platforms like facebook have about 500 TB of new data getting into their database every day. The data that is generated consists of comments, videos, posts, message exchange, etc. 
  • Airline Sector
    It is observed that a single jet engine is capable of generating almost 10 TB of data during a 30-minute flight. With thousands of aircraft flying on a daily basis, the data generated reaches up to Petabytes. 

Essentially there are three forms in which we can see BigData:

  • Structured 

Structured data is defined as the data that can be accessed, processed, and stored in a fixed format. With the advancement in technology, we have seen a rise of several capable tools that can be used in order to maintain and manage such data. However, with the ever-increasing size of data, it is quite a challenge to use structured data and manage it regularly. 

  • Unstructured

Any data with an unknown form or structure is known as unstructured data. Along with the issue of the huge size, it is quite difficult to manage unstructured data and derive any value out of it. A heterogeneous combination of text files, images, videos, etc. is a good example of this form of data. These days every company own tons of data but are unable to process it properly due to its raw form. Google’s output result is a really common example in this category.  

  • Semi-structured

As the name suggests, this is a combination of both structured and unstructured data. The data that we see in semi-structured databases is structured but we can not define it thereafter. The best example of semi-structured data is the data representation in an XML file. 

There Are 4 Basic Characteristics That We Can Observe In Bigdata:

  • Volume

As the name suggests with Bigdata we get files that are huge in size. The volume of a file is the first and the basic step through which we determine if it can be considered as Bigdata or not. The value of the data is also proportional to its volume as well. 

  • Variety 

Both structured and unstructured data consists of text files, images, videos, etc. This is why we see how difficult it is for analytical tools to analyze all the data correctly. Moreover, the addition of images and video files increases the file size that triggers the storage and mining issues as well. 

  • Velocity

The speed at which the data is transferred or received is known as its velocity. With Bigdata we observe that it deals with the data at the speed with which the data is received from its source such as business logs, application processes, social media sites, etc. The flow of data is quite massive and continuous as well. 

  • Variability 

Variability is referred to as the inconsistency that we observe with the data. This inconsistency create problems with the management and organization of the data. 

There are several benefits of using Bigdata processing such as:

  • With the help of Bigdata businesses can easily utilize the social data they get from search engines and social media platforms in order to scale their business. 
  • You can even improve your customer service with this as well. With the advancements, you get more natural language processing and better customer responses along with a much better operational facility. 
  • You get early detection if there are any risks with your product or service.

Lastly, let us start with the best strategies that we can follow in order to improve marketing through Bigdata. 

1. Use Predictive Analytics

It is really important that you use analytical tools in order to invest in really good web design. This should be your first step as you head out with the motive of digital marketing. A well-designed website is going to help you in the long run. Eventually, you will have longer visits on your website and thus more potential customers. With the help of predictive analytics you can create a clean and user-friendly website that you can optimize over time.

2. Machine Learning For SEO

As you use healthy SEO practices you can improve your Google ratings. As your customer search on Google, your name will appear on the top. This is how your potential customers would be able to find you easily. Although, the algorithms are continuously changing which is why you should opt for machine learning so that you can keep your website updated with the latest SEO practices 

3. Associate And Affiliate Program

These programs are really good as you start with your marketing campaign. These associates and affiliates will publish about your website on their respective pages that will boost traffic to your website. It is quite a handy way with which you can massively improve your results. 

4. Hire A Professional

If you ever feel like things are not going the way you planned you should not hesitate in hiring a professional. They will share their experience with you and thus you will be able to tacker other things. 

5. Email Marketing

It is not about spamming someone with loads of emails. You should prepare an email list with the content that is more relatable to each type of customer. When you try a more personalized approach you will surely get much better results. You should analyze their online behavior and prepare your content according to that only. 

6. Developing An Opt-in Email List

This is another great with which you can direct more traffic to your website. As visitors try to sign in they will get directed to your homepage. This way you can add more customers to your email list as well. 

7. Write Meaningful Content 

This can be seen as the soul of your website. You should try to create content that is relevant and appropriate to your target audience. This way you can engage them to your content and thus increasing the credibility of your website. 

8.Online Press Release

Time to time press releases is a good way for you to launch new products and services. If this is done with a well thought out plan including Bigdata factors you can dramatically improve your reach. 

9. Hold Promotions

In order to promote your content, you can host giveaways and contests for your clients. This way you increase customer interaction and improve the chances for more sales. 

10. Power Of Blog

You should never underestimate the power of a good blog. It will be quite handy for you to set up a really good blog with relevant and relatable themes. You can use the blogs in order to connect with your customers over time. 

Leave A Reply

Your email address will not be published.