Presentation on theme: "Applications of Big Data in Transportation and Finance Hardeep Kumar (2014CSB2106) Aridaman Singh (2014CSB2103)"— Presentation transcript:
Applications of Big Data in Transportation and Finance Hardeep Kumar (2014CSB2106) Aridaman Singh (2014CSB2103)
What big data is? ●Structured and unstructured large data sets which is difficult to process using our traditional systems due complexity. ●High-volume, high-velocity and high-variety information
The Three V’s ●Volume ●Velocity ●Variety Big data is not only about the volume of data but also its velocity and variety
Why so much data? ●Digitisation of Travel, Shopping, Downloading, billing system, online transactions etc. ●Increasing of technologies like smartphones and electronics devices which leave footprints every time they used. ●Internet of things collects large amount data like sensors, traffic cameras etc.
Big Data and finance To get the right information to identify the right markets and customers at the right time and enable us to make the right strategic decisions.
Big data and finance system ●Consumer risk models ●Business Intelligence & Reporting ●Planning, Budgeting & Forecasting using Data ●Financial Analytics & Dashboards ●E-Banking ●Share market ●Fraud Detection
Consumer risk models ●Better understand customers through automated consumer facing services ●Online interaction of customers ●Redefine customer groups ●Online credit and debit purchases, direct deposits, and detailed web browsing trails.
Personalization and Recommendation ●Differentiate offerings based on a firm’s collective intelligence ●Retain loyal customers with personalized service
Fraud Detection and Anti- money Laundering ●Detection of online frauds i.e online transactions ●Banks are increasingly turning to analytics to predict and prevent fraud in real-time ●Detect IP addresses or unusual login times ●Real-Time Big Data Analytics
Big data and Transportation With the help of big data we use vehicles more productively can provide the same or better access to transportation services with 46–84 percent less driving.
Big data transport future ●The world is becoming INSTRUMENTED Smart sensors on road, in cars, cell data, Connected cars everywhere ●The world is becoming INTERCONNECTED Linking information on road, in cars and railways, throughout the supply chain – “the internet of things / vehicles” ●The world is becoming INTELLIGENT Cars talking to each other, sensors talking to each other, we can predict where traffic jams are, before and while you drive
How are Governments using big data? ●Traffic Controlling ●Transport Planning and Modeling ●Route Planning ●Congestion Management ●Intelligent Transport Systems
How is the Private Sector using big data? ●Travel Industry ●Route Planning and Logistics ●Revenue Management ●Competitive Advantage ●Technological Enhancements
How are Individuals using big data ? ●Route Planning (save time/increase fuel-efficiency) ●Travel (tourism) ●GPS ●Navigation system
Train Signal and Control Systems ●High-tech, complex process for tracking location of trains, estimating travel times, etc. ●From electro-mechanical to electronic-digital ●Automatic Block Signaling, Cab Signaling System, Centralized Traffic Control, Automatic Train Control, Communications-Based Train Control, Automatic Train Operation, Positive Train Control, Driverless ATO
Route Planning and Scheduling Performs routine, tedious tasks — routing, developing timetables, blocking into bus and train schedules, runcutting, and other essential component tasks such as rostering Allows schedulers and transit planners to quickly develop many different scheduling scenarios Significantly increases operational efficiency
Automatic Vehicle Location (AVL) Uses GPS-based data + Analytics to track both buses and trains Passenger Information System Based on AVL or train signal/dispatching system Big hit with passengers
Automated Fare Collection (AFC) Uses ticket vending machines (TVMs) Smartcards provide access to all types of transit services across multiple operating agencies and jurisdictions AFC Analytics provide details of how passengers are using systems, identify trends, help improve service
Automated Passenger Counting (APC) Informs agency as to how many passengers are boarding- deboarding each vehicle, precisely where this happens Data can be used to provide better service and project evolving ridership trends
References About big data: http://en.wikipedia.org/wiki/Big_data Transportation topic: - http://imsc.usc.edu/intelligent-transportation.html Big data in finance business: - http://www.slideshare.net/SAPServices/top5- usecasesinbankingfinance?qid=3c729511-84cd-4460-b576- 09e7ce35b003&v=default&b=&from_search=2 Transportation: - http://search.oecd.org/officialdocuments/publicdisplaydocumentpdf/?cote=DSTI/ICCP(2012)9/FINAL &docLanguage=En Transportation: - http://blog.rmi.org/blog_how_big_data_drives_intelligent_transportation Transportation: - http://www.oecd.org/sti/ieconomy/Session_5_Letouz%C3%A9.pdf Transportation: -http://www.omnitrans-international.com/en/general/news/2013-07-04-using-big- data-in-transport-modelling DATA analyze:- http://open-data.europa.eu/ Diagrams and analytics reports: - http://siteresources.worldbank.org/INTTRANSPORT/Resources/StockholmcongestionCBAEliassonn.pd f Cloudera (WHY ARE FINANCIAL SERVICES FIRMS ADOPTING CLOUDERA’S BIG DATA SOLUTIONS):- http://www.cloudera.com
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