If you are an IT guy or a Data Analytics Online Training you will be asked for the data insights so that based on your data decisions will be taken accordingly either it can be good or bad. If the data gives you valuable inputs then chances are to invest more money based on the performances. As a company, you want to look at the data because it gives us a wider angle of every aspect in terms of company growth. We have covered some interesting facts about data using different sources.

1. Less than 0.5% of all data we create is ever analyzed and used.
2. A 10% increase in data accessibility will result in more than $65 million additional net income for the typical Fortune 1000 company.
3. The US leads the data science market, requiring 190,000 data scientists by next year.
4. Google uses about 1,000 computers to answer every single search query.
5. By 2020, there will be more than 50 billion smart connected devices in the world, collecting, analyzing and sharing data.
6. By 2025, the Data analytics sector in India is estimated to grow eightfold, reaching $16 billion.
7. Last year, an estimated 1 trillion photos were taken and billions of them will be shared online.
8. Nearly 80% of photos are taken on smartphones and most will become searchable data online.
9. Every second 60,000 search queries are performed on Google and 1.2 trillion searches per year.
10. By 2020, about 1.7 megabytes of new information will be created every second for every human on the planet.
11. Data scientists earn more than the average IT employee.
12. 1 billion pieces of content are shared via Facebook’s Open Graph every day.
13. Bad data costs US businesses alone $600 billion annually.
14. 70% of data is created by individuals, but enterprises are responsible for storing and managing 80% of that.
15. There are nearly as many pieces of digital information as there are stars in the universe.

These facts talk about the importance of data in the current situation and the future. These numbers will gradually increase over time and so the job of a data analyst or scientist is to utilize these numbers for good use.

These numbers clearly play the role of a Data Analytics Training in Delhi following the life cycle of business understanding, data mining, data cleaning, data visualization, and data exploration to good use.