In 2005, the transactions on Alibaba’s websites were less than 10,000 per day. By 2007, they increased to around 500,000 per day. As its popularity grew, the number of transactions grew, reaching even 1 billion transactions per day during popular shopping days. From the beginning, Alibaba captured all the data pertaining to the buyers, sellers, and other data about frequency of order, average order size, etc. This was captured from its different sources.

IT and Systems Case Studies | Case Study in Management, Operations, Strategies, IT and Systems, Case Studies

IT and Systems Case Studies Case Studies | Case Study in Management, Operations, Strategies, IT and Systems, Case Studies

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TAKING BIG DATA TO THE NEXT LEVEL

The Artificial Intelligence (AI) program, that was an offshoot of big data, was used widely in China to tackle problems like traffic congestion, easing traffic, suggesting alternate routes, medical imaging, etc. AI and MaxCompute were deployed to support local governments in several smart city projects in mainland China. For example, as a part of the ‘Hangzhou City Brain’ project, videos were taken from more than 50,000 surveillance cameras in the city, and processed to take decisions pertaining to traffic signals...

LOOKING AHEAD

According to Jack Ma, pure e-commerce would vanish in the future and five trends would dominate – ‘new retail’, ‘new production’, ‘new finance’, ‘new technology’, and ‘new resources’. These new trends would bring with them several opportunities and challenges, especially for online entrepreneurs, to use the internet to meet increasing demand. According to Jack Ma, ‘New retail’ meant “the integration of online, offline, logistics, and data across a single value chain.” ..

EXHIBITS

Exhibit I: Alibaba – Business
Exhibit II: Alibaba – Annual Active Buyers
Exhibit III: Alibaba – Milestones
Exhibit IV: Alibaba Financial Data
Exhibit V: Alibaba Internal Sources of Data
Exhibit VI: About Big Data
Exhibit VII: About Alimama
Exhibit VIII: Cloud Computing
Exhibit IX: Alibaba – Businesses and Data Flow
Exhibit X: Multi-Layer Risk Prevention Framework