July 2017
Intermediate to advanced
68 pages
1h 28m
English
Content preview from Implementing a Smart Data Platform
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Chapter 7. Case Studies
SmartDP Drives Growth in Banks
Smart data is important to the financial industry, a highly information-oriented industry. If we compare the finance industry to a car, the information system is the engine of the car and data the fuel. By taking advantage of smart data, the financial industry will witness faster growth, reduced costs, and more first-mover advantages.
Financial enterprises have experienced business engineering and technical engineering in their development process. Business engineering refers to a process by which business models are searched, mainly for the establishment of a business process. Technical engineering refers to a process by which the business process becomes tool- and system-oriented during the business engineering implementation. Both business engineering and technical engineering solve the issue of modern and standardized production.
With the aid of TalkingData, a bank built its big data application using the SmartDP model. Unstructured data was acquired and analyzed and then labeled according to data application contexts. A machine learning model was established based on trade data and behavior data to satisfy the demands of banks for large-scale data mining and analytics. In contrast to the traditional BI tools, SmartDP is able to process both structured and unstructured data with a capacity of 100T or above and also user behavior data of hundreds of millions of dimensions. Using the Atom computing engine, independently ...
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