The needs and benefits of Text Mining applications on Post-Project Reviews

Post-Project Reviews (PPRs) are a rich source of knowledge and data for organisations – if organisations have the time and resources to analyse them. Too often these reports are stored, unread by many who could benefit from them. PPR reports attempt to document the project experience – both good and...

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Bibliographic Details
Published in:Computers in industry 2009-12, Vol.60 (9), p.728-740
Main Authors: Choudhary, A.K., Oluikpe, P.I., Harding, J.A., Carrillo, P.M.
Format: Article
Language:English
Subjects:
Applied sciences
Case studies
Compilation & review
Computer science
control theory
systems
Construction companies
Control theory. Systems
Data mining
Data processing. List processing. Character string processing
Exact sciences and technology
Information systems. Data bases
Knowledge discovery
Knowledge management
Manufacturing and construction
Memory organisation. Data processing
Post-Project Reviews (PPRs)
Process control. Computer integrated manufacturing
Software
Software engineering
Studies
Text Mining
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Summary:Post-Project Reviews (PPRs) are a rich source of knowledge and data for organisations – if organisations have the time and resources to analyse them. Too often these reports are stored, unread by many who could benefit from them. PPR reports attempt to document the project experience – both good and bad. If these reports were analysed collectively, they may expose important detail, e.g. recurring problems or examples of good practice, perhaps repeated across a number of projects. However, because most companies do not have the resources to thoroughly examine PPR reports, either individually or collectively, important insights and opportunities to learn from previous projects, are missed. This research explores the application of knowledge discovery techniques and Text Mining to uncover patterns, associations, and trends from PPR reports. The results might then be used to address problem areas, enhance processes, and improve customer relationships. A case study related to two construction companies is presented in this paper and knowledge discovery techniques are used to analyse 50 PPR reports collected during the last three years. The case study has been examined in six contexts and the results show that Text Mining has a good potential to improve overall knowledge reuse and exploitation.
ISSN:0166-3615
1872-6194
DOI:10.1016/j.compind.2009.05.006