Abstract
Conventional data analytics process uses dashboard with tables, charts, summaries, search tool in projecting its analysis outcome to its user with the goal of enabling discovery of useful information or suggesting conclusions to support decision-making. Such decision-making mechanisms can be improved further by using natural language interface in the dashboard components, e.g. using natural language keywords to search the sales performance of a product. Motivated by the needs to enable a user friendlier interaction with analytics outcome, this paper proposes a chatbot, called analytics bot who can assist in the role of decision making by delivering information of dashboard components with human like conversational pattern.
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Acknowledgements
This research was supported by USM Research University Grant (1001/PKOMP/811335: Mining Unstructured Web Data for Tour Itineraries Construction), Universiti Sains Malaysia.
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Hoon, G.K., Yong, L.J., Yang, G.K. (2020). Interfacing Chatbot with Data Retrieval and Analytics Queries for Decision Making. In: P. P. Abdul Majeed, A., Mat-Jizat, J., Hassan, M., Taha, Z., Choi, H., Kim, J. (eds) RITA 2018. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-8323-6_32
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DOI: https://doi.org/10.1007/978-981-13-8323-6_32
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