Big Data is not only a buzzword, it is already a part of life routine. We use Big Data without any hesitation and even not noticing it. Big Data is widely used for Machine Learning and Artificial Intelligence. Thus, when you unlock your phone with a fingerprint or facial recognition, you use Big Data. These processes are practical because of training a neural network to recognize different data.
Thus said, if you ask yourself when to use Big Data, the answer is – you already use it in one way or another. If you want to know, how and why do businesses use Big Data and maybe how to implement it in your company, keep reading. We will talk about the theoretical part of Big Data. If you want to know more about the implementation from real specialists, follow the link https://itsvit.com/services/big-data/.
Why use Big Data?
Let’s talk about examples of Big Data applications that already exist. Of course, when you think about Big Data, firstly you remember IT companies. The giants like Apple, Google and IBM use Big Data in their services. These companies need to make a lot of tests of their production. To make only necessary tests, they use Big Data analytics and save time and resources. Also, IT companies collect and analyze user flow to make products better.
Gamedev industry uses Big Data to analyze and teach the AI systems to play with real people or make realistic movements for characters.
In the healthcare field, Big Data is used to specify diagnoses by analyzing a lot of data about patients.
The car industry increases safety by using Big Data. The system scans the environment and predicts car crashes or traffic jams and can react by switching on some safety staff or warn the driver. The autopilot cars are possible also thanks to the Big Data and Machine Learning.
These are a small piece of examples, there are a lot of other usages of Big Data.
As you can see, Big Data might be useful in different areas. What benefits for your business do you receive with Big Data?
- Cost reduction. It is worth noting that Big Data implementation is a very expensive process. You need to pay not only to specialists but for a lot of computing resources too. But after implementation, you will get a significant cost reduction for your operations at scale. So, before using Big Data, you should evaluate financial expediency.
- Process speed increasing. This means Big Data analytics will automatize a lot of processes and process a huge amount of data you were not able to process before. As a result, you’ll have quick and efficient system operations and workflows.
- Customization. Big Data can work with various types of data and return the needed results. This allows for making analyses and predictions to meet the specific needs of your company.
Conclusion: why do you need Big Data
Therefore, you already use Big Data in one or another form. Big Data analytics is widely used in different fields and businesses. It allows to process a huge amount of information and make conclusions and predictions. Results of this analytics are used for Machine Learning. Thus, we can implement complex solutions like recognizing terrain for making maps, recognizing faces, fingerprints, analyzing health data and many other useful things.
Implementing Big Data analytics in your company can bring you profits like increased efficiency, cost reduction and remarkable increasing competitiveness.
