Big Data Assignment Help

• Crime prediction

• Disease prediction

• Simulating and predicting traffic patterns

• Modeling Natural Language

• Fraud Detection

• Sentiment analysis of big data

• Deceit recognition

• Predicting the interests of audiences

• Optimized or on-demand scheduling of media streams in digital media distribution platforms

• Getting insights from customer reviews

• Effective targeting of the advertisements

• Social Media Data Analysis with Spark

• Machine Learning Algorithms (Apply classification to Tweets)

• Real time analysis of Tweets (Spark Streaming Library)

​

​

Applications of Big data on Education:

• Customized and Dynamic Learning Programs: Customized programs and schemes to benefit individual students can be created using the data collected on the bases of each student’s learning history. This improves the overall student results.

• Reframing Course Material: Reframing the course material according to the data that is collected on the basis of what a student learns and to what extent by real-time monitoring of the components of a course is beneficial for the students.

• Grading Systems: New advancements in grading systems have been introduced as a result of a proper analysis of student data. 

• Career Prediction: Appropriate analysis and study of every student’s records will help understand each student’s progress, strengths, weaknesses, interests, and more. It would also help in determining which career would be the most suitable for the student in future.

 

The applications of big data have provided a solution to one of the biggest pitfalls in the education system, that is, the one-size-fits-all fashion of academic set-up, by contributing in e-learning solutions.

​

​

Case Studies

AETNA: Looks at patient results on a series of metabolic syndrome-detecting tests, assesses patient risk factors and focuses on treating one or two things that will have the most impact (statistically speaking) on improving their health. 90% of patients who didn’t have a previous visit with their doctor would benefit from a screening, and 60% would benefit from improving their adherence to their medicine regimen.There are many pre-trained models available on the internet which could be used to extract features from the dataset in case the amount of data available is low.

​

​

AMERICAN EXPRESS: Starts looking for indicators that could predict loyalty and developed sophisticated predictive models to analyze historical transactions and 115 variables to forecast potential churn. The company believes it can now identify 24% of accounts that will close within the next four months.

​​

ATLANTA FALCONS: Use GPS technology to assess player movements during practices, which helps the coaches create more efficient plays.

 

BANK OF AMERICA: “BankAmeriDeals” provides cash-back offers to credit and debit-card customers based upon analyses of their prior purchases.

 

BASIS: Is a wrist-based health tracker and online personal dashboard that helps users incorporate small, progressive health changes over time—that ultimately add up to major results.

 

BRITISH AIRWAYS: “Know Me” program combines already existing loyalty information with the data collected from customers based on their online behavior. With the blending of these two sources of information, British Airways can make more targeted offers while responding to service lapses in ways to create a more positive experience for the flyer.

 

CAESARS ENTERTAINMENT: Combines patrons’ gambling outcomes with their rewards program information to offer enticing perks to those who are losing at the tables.

 

CATAPULT: Uncovers vitally important information like whether an athlete is developing an injury, or whether certain workouts are overly stressful. That helps teams keep their players safe and game-ready. Sales grew 64% last year and Catapult now works with nearly half of NFL teams, a third of NBA teams, and 30 major college programs.

 

COMMONBOND: Is a student lending platform that connects students and graduates to alumni investors and accomplished professionals. Thus, students can access lower, fixed-rate financing—and save thousands of dollars on their repayments.

 

DELTA: With over 130 million bags checked per year, Delta has a lot of tracking data about bags and became the first major airline to allow customers to track their bags from mobile devices. To date, the app has been downloaded over 11 million times and gives customers much greater peace of mind.

 

DUETTO: Makes it easier for companies to personalize data to individuals searching online for hotels. Prices by hotels can be personalized by taking data such as how much you typically spend at the bar or casino to incentivize you with a lower price for your room. The hotel can give you a better price, knowing you’ll spend money on other services.

 

EBAY: “the Feed” is a new homepage that allows customers to follow entire categories of items no matter how obscure. This makes it easier for customers to stay on top of the latest items they have a particular interest, especially if they are collectors.

 

EVOVL: Helps large global companies make better hiring and management decisions through tpredictive analytics.  Evolv crunches more than 500 million data points on gas prices, unemployment rates, and social media usage to help clients like Xerox—who has cut attrition by 20 percent—predict, for example, when an employee is most likely to leave his job. Companies like Xerox, AT&T and Kelly Services use Evolv, and on average, our clients see a $10 million impact on their P&L. Evolv’s sales grew a whopping 150% from Q3 2012 to Q3 2013.

 

GENERAL ELECTRIC: Many machines—everything from power plants to locomotives to hospital equipment—now pump out data about how they’re operating. GE’s analytics team crunches it, then rejiggers machines to be more efficient. Even tiny improvements are substantial, given the scale: By GE’s estimates, data can boost productivity in the U.S. by 1.5%, which over a 20-year period could save enough cash to raise average national incomes by as much as 30%.

 

GOOGLE: Working with the U.S. Centers for Disease Control, tracks when users are inputting search terms related to flu topics, to help predict which regions may experience outbreaks.

 

HOMER: Handcrafted by top literacy experts, helps children learn to read. It has a complete phonics program, a library of beautifully illustrated stories, hundreds of science field trips, and exciting art and recording tools—combining the best early learning techniques into an engaging app that connects learning to read with learning to understand the world.

 

IRS: Uses Big Data to stop identity theft, fraud, and improper payments, such as those who are not paying taxes and should. The system also helps to ensure compliance with tax rules and laws. So far, the IRS has stopped billions of dollars in fraud, specifically with identity theft, and recovered more than $2 billion over the last three years.

​​