I am working at Genel Transport as shipment tracking specialist in maritime transportation department. For the maritime trade industry, data analysis can be used in areas such as forecasting delays, facilitating the customs process, autonomous vessels. In addition, as in all other industries, the logistics industry is subject to digitalization and the amount of data emerging and the need for data analysis will increase. Furthermore, as IoT and smart containers become widespread, many data such as temperature, humidity and cargo damage will emerge. I plan to work on the maritime trade industry by analyzing data such as foreign trade data, commodity prices, arrival times of shipments, speed of vessels, weather / wind speed data, port congestions and waiting time at transhipment ports.
UseR-2019 videos
At the beginning of the speech, the speaker talked about process mining. Afterwards, he gave a process model example and explained this example. In the example, the process of booking of users is explained. The user’s fund request, decision, hotel and train booking and cancelling plans etc. Fixed and dependent probability are compared. Also prefix tree and combining probabilities for each trace and Bayesian model etc. are mentioned.
Digital marketing, data analysis, artificial intelligence and machine learning have been mentioned.
Provides use of data science examples of below issues: - User profiling - Pricing - Lead scoring
Provides use of big data analytics examples of below issues: - Customer Acquisition and Retention - Marketing and Advertising - Risk Management - Innovations and Product Development - Supply Chain Management