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Using Text Analytics to Derive Customer Service Management Benefits from Unstructured Data

  • Oliver Müller
    ,
  • Iris Junglas
    ,
  • Stefan Debortoli
    ,
  • Jan vom Brocke
  • Florida State University
    ,
  • University of Liechtenstein
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Open access

Abstract

Deriving value from structured data is now commonplace. The value of unstructured textual data, however, remains mostly untapped and often unrecognized. This article describes the text analytics journeys of three organizations in the customer service management area. Based on their experiences, we provide four lessons that can guide other organizations as they embark on their text analytics journeys.

Publication Information

Output type

Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Original language

English

Journal (Volume, Issue Number)

M I S Quarterly Executive (Volume 15, Issue 4)

Publication milestones

  • Published - 31/12/2016

Publication status

Published - 31/12/2016

ISSN

1540-1960

Publication IDs

  • Scopus: 85011879284

Publication metrics

PlumX

Captures
133
Citation count
55

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