R Programming
R is the leading analytics tool in the industry and widely used for statistics and data modeling. It can easily manipulate your data and present in different ways. It has exceeded SAS in many ways like capacity of data, performance and outcome. R compiles and runs on a wide variety of platforms viz -UNIX, Windows and MacOS. It has 11,556 packages and allows you to browse the packages by categories. R also provides tools to automatically install all packages as per user requirement, which can also be well assembled with Big data.IMS Proschool
Explore Data & Analytics Statistics
- 98 percent of sales representatives at construction companies that adopt analytics and geographic data reported dramatic decreases in their time frame for providing price quotes.
- By 2025, more than a quarter of all data created will be real-time, with 95% of that data generated by the Internet of Things.
- By 2025, 60% of the 163 zettabytes of existing data will be created and managed by enterprise organizations.
- 55 percent of North American businesses have adopted big data analytics.
- By 2020, there will be 2.7 million job postings for data science and analytics roles.
- 90 percent of IT professionals plan to increase spending on BI tools.
- 36 percent of investment professionals use web scraping to derive data.
- Customer/social analysis is considered the second most important big data analytics use case, followed by predictive maintenance.
- Businesses that use big data saw a profit increase of 8–10 percent.
- 40 percent of businesses say they need to manage unstructured data on a frequent basis.
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