Unstructured Data: History, Need, and Applications | Desklib

Unstructured Data: the need, the history and application?
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Executive Summary
The use and application of unstructured data has been one of the most fundamental aspects that
many organizations have been working on. Though it has been a challenge to collect, analyze
and make use of unstructured data, organizations have tried as much as possible to come up with
some applications that can help in analysis of such data. This paper would focus on unstructured
data in three broad categories namely; background history, the need of unstructured data by
organizations and its applications in real life situations. In order to have intensive and extensive
analysis, it would be quite importance to evaluate the challenges that are faced by organizations
when using unstructured data. Important to note is that these challenges cannot be forgone as
they help organizations to come up some strategies that offers competitive advantage in the
industry. In cases where customer satisfaction has to be evaluated, unstructured data comes in to
complement structured data. Finally, attributes that are associated with unstructured data would
be evaluated in order to be able to understand the nature and existence of unstructured data.

Contents
Executive Summary...................................................................................................................................2
Table of figures..........................................................................................................................................3
Introduction...............................................................................................................................................4
Literature Review......................................................................................................................................5
History of unstructured data....................................................................................................................6
Need for unstructured data by organizations..........................................................................................7
Unstructured textual data opportunities.............................................................................................9
Unstructured textual data challenges.................................................................................................10
Attributes of unstructured textual data.............................................................................................11
Application of unstructured data...........................................................................................................12
Management of customer experience.................................................................................................12
Preventing fraud in an organization..................................................................................................13
Organizational marketing optimization.............................................................................................14
Healthcare industry and patient care.................................................................................................14
Conclusion................................................................................................................................................15
Bibliography............................................................................................................................................16
Table of figures

Figure 1: Importance of mining unstructured data.................................................................10
Figure 2: Measuring customer satisfaction...............................................................................13
Figure 3: Use of unstructured data in healthcare.....................................................................15
Introduction
Unstructured data is usually known to be a form of data that is not organized in any pre-
defined format. Typically, it is considered to be reach in text rather than numerical data but it