Why Data Science?

Some years ago, data was less and mostly available in a structured form, which could be easily stored in excel sheets, and processed using BI tools.

But in today's world, data is becoming so vast, i.e., approximately 2.5 quintals bytes of data is generating on every day, which led to data explosion. It is estimated as per researches, that by 2020, 1.7 MB of data will be created at every single second, by a single person on earth. Every Company requires data to work, grow, and improve their businesses.

Now, handling of such huge amount of data is a challenging task for every organization. So to handle, process, and analysis of this, we required some complex, powerful, and efficient algorithms and technology, that is  data Science.

Following are some main reasons for using data science technology:

1. With the help of data science technology, we can convert the massive amount of raw and unstructured data into meaningful insights.
2. Data science technology is opting by various companies, whether it is a big brand or a startup. Google, Amazon, Netflix, etc, which handle the huge amount of data, are using data science algorithms for better customer experience.
3. Data science is working for automating transportation such as creating a self-driving car, which is the future of transportation.
4. Data science can help in different predictions such as various survey, elections, flight ticket confirmation, etc.
5. Data is the oil for today's world. With the right tools, technologies, algorithms, we can use data and convert it into a distinctive business advantage
6. Data Science can help you to detect fraud using advanced machine learning algorithms
7. It helps you to prevent any significant monetary losses
8. Allows to build intelligence ability in machines
9. You can perform sentiment analysis to gauge customer brand loyalty
10. It enables you to take better and faster decisions
11. Helps you to recommend the right product to the right customer to enhance your business