C A P S T O N E
P R O J E C T I D E A S
Prediction of epidemics: using past and current data to predict
where an epidemic may break out within any country in the world.
Detection of fraud: algorithms that can be used to analyze emails
and other messages to identify fraudulent messages.
Predicting rises in crime: use available data to predict where
crimes are most likely to occur and when.
Analysis of employee relations within a large company: helping big
companies improve retention through an understanding of staff
Beating traffic jams: using real-time data to provide a clear route
to your destination in the quickest possible time.
Analysis of project management: identifying bottlenecks and
delays to help ensure future projects run smoothly.
Supply chain management improvements: analysis of all aspects
of the supply chain for a large manufacturer to help improve all
aspects of purchasing.
To improve sports performance: analysis of past plays and other
data to help develop strategies for training.
Improving your diet: use big data analysis to discover what diets
work for what people.
Improving agricultural yields: analysis of the many different
variables around different crops to find the best conditions for
Build a recommendation system for YouTube: using the available
data create an algorithm to suggest videos to view.
Look at the relationship between a knife or gun crime and school
results: create a regional map to show the relationship between
crime and education.
Using real-time network data to predict failures: use the data
available to predict where the network is likely to fail.
The effectiveness of sales channels: show how the different
routes to market perform with a breakdown of the markets they
are effective for.
Identify reasons for software design failure: help to build more
robust software through understanding reasons for failure.
Predicting supply chain delays: analysis of data to identify the
conditions most likely to cause supplier failures and delays.
Analysis of blogs to discover the most popular content: what are
the specific features of a blog that attract more readers?
When to sell: analyze financial market conditions and housing
pricing to define the ideal time to sell the property for a profit.
Understand consumer behavior on “Black Friday”: what do people
want to buy at this point in time?
Provide better cab coverage: analysis of riding patterns to ensure
that cabs are available in the right locations at the right time.