Knowledge Discovery on Unstructured Data

Ethan LIANG Nanxing

Chapter 32 in Business Analytics:Progress on Applications in Asia Pacific, 2016, pp 828-863 from World Scientific Publishing Co. Pte. Ltd.

Abstract: A significant portion of organizational knowledge resides in the form of unstructured data such as emails, customer feedbacks and internal reports. Many Chief Information Officers (CIO) and Chief Technology Officers (CTO) consider this data to be crucial in business re-engineering.A non-profit organization, faced with the problem of understanding large volumes of unstructured data, wanted a knowledge discovery solution that could improve their efficiency in extracting business intelligence. A long-term deliverable was co-developed with all stakeholders from which an intermediate goal suitable for the study timeline was carved out. IBM Watson Content Analytics was used to help business users understand two pre-processed textual sources in tandem. User tests with evaluation questionnaires were also performed to quantitatively and qualitatively evaluate the efficacy of the developed knowledge discovery solution. This study details the work done in constructing the knowledge discovery solution, and the value delivered to the non-profit organization.

Keywords: Business Analytics; Entrepreneurship; Big Data; Information Technology (search for similar items in EconPapers)
JEL-codes: L26 (search for similar items in EconPapers)
Date: 2016
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