presents

Webinar on Business Analytics with R

Presented by: Satyabrata Pradhan

© copyright ACADGILD

Agenda• What is Big Data?

• What is Business Analytics?

• Business Analytic Experts in Industry

• Data Science and its Key Components

• Why R?

• Companies using R for Analytics

• Market demand of Business Analytics

• Job Trends

• Case Study

• Few Open Questions on Case Study

• Q&A

Business Analysis with R 2

© copyright ACADGILD

What is Big Data?

Business Analysis with R 3

© copyright ACADGILD

What is Business Analytics?

• Analytics is the use of data, information technology, statistical analysis, quantitative methods and mathematical or computer-based models to help managers gain improved insight about their business operations and make better, fact-based decisions.

Business Analysis with R 4

© copyright ACADGILD

What is Business Analytics? (Contd.)

Business Analysis with R 5

© copyright ACADGILD

Business Analytic Experts in Industry

Business Analysis with R 6

© copyright ACADGILD

• Data Science is an interdisciplinary field about processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured.

• Data Science is a continuation of some of the data analysis fields such as statistics, data mining, and predictive analytics.

Data Science

Database Technology Statistics

Domain Knowledge

MachineLearning Visualization

Programming Skills

Data Science and its Key Components

Business Analysis with R 7

© copyright ACADGILD 8Business Analysis with R

Why R and How is it different then other Languages• R is a programming language and software environment for statistical

computing and graphics supported by the R Foundation for Statistical Computing.

• R language is widely used among statisticians and data miners for developing statistical software and data analysis.

• R's strong package ecosystem and charting benefits

• R isn't just for advanced programmers– "I wouldn't even say R is for programmers. It's best suited for people that have data-oriented

problems they're trying to solve, regardless of their programming aptitude.“

Why R?

© copyright ACADGILD 9Business Analysis with R

Company Name Uses

New York Times Used for interactive and print visualization

Google Has more than 500 R users

FDA Uses R for clinical trials of new drugs

John Deere Uses R to forecast crop yield and optimize tractor manufacturing

National Weather Service Uses R to predict the extent of flooding events

The Consumer Financial Protection Bureau

Uses R and other open source tools

Twitter Uses R for data science applications on the Twitter database

FourSquare Uses R to develop its recommendation engine

Facebook Uses R to model all sorts of user behavior.

Companies using R For Analytics

© copyright ACADGILD 10Business Analysis with R

Market Demand of Business Analytics

© copyright ACADGILD 11Business Analysis with R

Market Demand of Business Analytics (Contd.)

© copyright ACADGILD 12Business Analysis with R

Analytics is an industry that is all set for exponential growth. This has resulted in a huge demand for professionals skilled in Analytics. With organizations looking for ways to capitalize the power of Big Data, the

demand for such professionals increases exponentially. The number of Analytics-related job postings in Indeed, Dice, Glassdoor and

other job portals are seeing a substantial increase compared to the previous year.

Job Trend

© copyright ACADGILD 13Business Analysis with R

• The Coca-Cola Co. and product consistency.

– "Many people think the world's best kept secret may just be the formula for Coke, but it's not," Laney said. "It's the formula for orange juice." Coke engineers identified more than 600 (!) possible flavors of oranges and then built a proprietary algorithm to ensure consistent taste and texture from one batch of orange juice to the next. The orange juice data profiles shield its Minute Maid and Simply Orange brands from unknowns such as orange crop availability or taste variance from one orange to the next. Laney encouraged businesses to identify places where consistency in the face of external elements is necessary, such as the supply chain."

Case Study

© copyright ACADGILD 14Business Analysis with R

• Companies produces millions of Minute Maid! How can they test all the bottles?

• Are they testing a small set of bottles?• How to know which set of bottles to be tested?• Is there any assumptions taken when they find the average “test variation” in

the sample?• Does they only find “Average variation in test” or conduct some other test as

well?

Few Open Questions on Case Study

© copyright ACADGILD

Any Questions?

Contact Info:

o Website : http://www.acadgild.com

o LinkedIn : https://www.linkedin.com/company/acadgild

o Facebook : https://www.facebook.com/acadgild

o Support: support@acadgild.com

© copyright ACADGILD

Get in Touch with Us

16Business Analysis with R

© copyright ACADGILD

Thank You

17Business Analysis with R