Advanced Analytics for Operationalization of Textual Data
Advanced Analytics for Operationalization of Textual Data
批准号:
570843-2021
负责人:
Ruhe, Guenther
金额:
$3.64万
依托单位:
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2021
资助国家:
加拿大
项目状态:
已结题
起止时间:
2021-01-01 至 2022-12-31
中文摘要
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英文摘要
CHALLENGE: For making decisions based on non-quantitative data we have been relying on soft skills such as brainstorming, negotiation, and stakeholders workshop. With the shift from traditional customer relationship management to the platform mediated, online and open user feedback there is a large scale and diverse information often in the form of comments, posts, reviews, discussions which is shifting the process from inter-organizational negotiation and brainstorming into the user- and feedback-driven product management. GOAL: The Goal of this project is to provide a platform for Textual Data Analytics supporting the three stages of Product and Service decision-making. The focus is on providing on-demand cloud services to support tactical and strategic decisions on an executive level. EFFORT TO BE UNDERTAKEN: Decision-making is the result of a series of analyses. the choice of these analyses, the sequence, and granularity are not even clear in advance for any expert. We are providing a cloud service that is modular and the expert can choose and apply any set of analyses at different levels. The services combine and enhance existing components for Natural Language Processing, Deep Learning, and Sentiment Analysis with existing and extracted knowledge. On top of the isolated components, an integration layer is designed that includes the mapping between the analysis chosen and made and the mapping towards tactical and strategic decision-making in the context of product and service development. IMPACT: (Alberta) SMEs are roadblocked in their innovation pathway without getting access to advanced data management and analysis solutions. They often can neither afford the data scientists nor they are available. As Alberta diversifies and due to globalization, unstructured textual data is accessible from various distributed sources. This data helps companies understand customer needs better, create new product and service innovations, and monitor and control their development processes.
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