Big data analytics for transportation

Transportation, as a means for moving goods and people between different locations, is a vital element of modern society. In this paper, we discuss how big data technology infrastructure fits into the current development of China, and provide suggestions for improvement. We discuss the current situation of China’s transportation system, and outline relevant big data technologies that are being used in the transportation domain. Finally we point out opportunities for improvement of China’s transportation system, through standardisation, integration of big data analytics in a national framework, and point to the future of transportation in China and beyond.

Sentiment Analysis Through Twitter Opinion Polling

In a minisymposium talk on public opinion polling through Twitter, Emily Cody talked about the opportunities and challenges of using Twitter for polling over traditional surveys. “People tend to get on their computer and tend to type how they’re feeling about an issue,” said Cody, talking about the ease of obtaining people’s opinions in the digital age.

Motivations for using Twitter opinion polls. Image credit: Emily Cody, AN16 presentation.Can we use this data to determine public opinion and analyze sentiment? Cody answered the question by describing the process behind extracting information by pulling all tweets on a subject of interest. A massive Twitter dataset is a great resource to infer characteristics of human emotion and behavior.

In a minisymposium talk on public opinion polling through Twitter, Emily Cody talked about the opportunities and challenges of using Twitter for polling over traditional surveys. “People tend to get on their computer and tend to type how they’re feeling about an issue,” said Cody, talking about the ease of obtaining people’s opinions in the digital age.

Motivations for using Twitter opinion polls. Image credit: Emily Cody, AN16 presentation.Can we use this data to determine public opinion and analyze sentiment? Cody answered the question by describing the process behind extracting information by pulling all tweets on a subject of interest. A massive Twitter dataset is a great resource to infer characteristics of human emotion and behavior.

In a minisymposium talk on public opinion polling through Twitter, Emily Cody talked about the opportunities and challenges of using Twitter for polling over traditional surveys. “People tend to get on their computer and tend to type how they’re feeling about an issue,” said Cody, talking about the ease of obtaining people’s opinions in the digital age.

Motivations for using Twitter opinion polls. Image credit: Emily Cody, AN16 presentation.Can we use this data to determine public opinion and analyze sentiment? Cody answered the question by describing the process behind extracting information by pulling all tweets on a subject of interest. A massive Twitter dataset is a great resource to infer characteristics of human emotion and behavior.

The impact of big data on financial systems

As customer volume increases, it dramatically affects the level of services offered by the organization. Existing data analytics practices have simplified the process of monitoring and evaluation of banks and other financial services organizations, including vast amounts of client data such as personal and security information. But with the help of Big Data, banks can now use this information to continually track client behavior in real time, providing the exact type of resources needed at any given moment. This real-time evaluation will in turn boost overall performance and profitability, thus thrusting the organization further into the growth cycle.

Identifying more areas where Big Data resources can be utilized most efficiently involves the alignment of business cases and technological capabilities, which reveals opportunities for improved business processes. There are three primary areas where banks and other financial organizations can attain benefits from advanced analytics: the customer experience, operation optimization, and employee engagement.

As customer volume increases, it dramatically affects the level of services offered by the organization. Existing data analytics practices have simplified the process of monitoring and evaluation of banks and other financial services organizations, including vast amounts of client data such as personal and security information. But with the help of Big Data, banks can now use this information to continually track client behavior in real time, providing the exact type of resources needed at any given moment. This real-time evaluation will in turn boost overall performance and profitability, thus thrusting the organization further into the growth cycle.

Identifying more areas where Big Data resources can be utilized most efficiently involves the alignment of business cases and technological capabilities, which reveals opportunities for improved business processes. There are three primary areas where banks and other financial organizations can attain benefits from advanced analytics: the customer experience, operation optimization, and employee engagement.

As customer volume increases, it dramatically affects the level of services offered by the organization. Existing data analytics practices have simplified the process of monitoring and evaluation of banks and other financial services organizations, including vast amounts of client data such as personal and security information. But with the help of Big Data, banks can now use this information to continually track client behavior in real time, providing the exact type of resources needed at any given moment. This real-time evaluation will in turn boost overall performance and profitability, thus thrusting the organization further into the growth cycle.

Identifying more areas where Big Data resources can be utilized most efficiently involves the alignment of business cases and technological capabilities, which reveals opportunities for improved business processes. There are three primary areas where banks and other financial organizations can attain benefits from advanced analytics: the customer experience, operation optimization, and employee engagement.