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Integration with other data and systems

Kajtazi, Miranda LU orcid and Tona, Olgerta LU (2017) p.251-261
Abstract

As the new generation of Information Technology is progressing at a rapid pace, with big data establishing a trend in organisations, integration between systems becomes substantial. In this chapter, we particularly look at information security as a system that has become an essential part of Business Intelligence (BI). BI systems represent one type of decision support system (DSS) with a focus on data analysing and presenting actionable information to decision-makers in an accessible and visual manner (Watson and Wixom, 2007). The way business information is presented and delivered through BI (Watson, 2009) can provide support to employees’ decision-making processes (Kowalczyk and Buxmann, 2014; Popovic et al., 2012) and affect... (More)

As the new generation of Information Technology is progressing at a rapid pace, with big data establishing a trend in organisations, integration between systems becomes substantial. In this chapter, we particularly look at information security as a system that has become an essential part of Business Intelligence (BI). BI systems represent one type of decision support system (DSS) with a focus on data analysing and presenting actionable information to decision-makers in an accessible and visual manner (Watson and Wixom, 2007). The way business information is presented and delivered through BI (Watson, 2009) can provide support to employees’ decision-making processes (Kowalczyk and Buxmann, 2014; Popovic et al., 2012) and affect organisational knowledge (Shollo and Galliers, 2015). In recent years, BI has been integrated aggressively in many different industries (Arnott and Pervan, 2008), including retail, telecommunication, healthcare, transportation and financial services (Chaudhuri et al., 2011). The rapid growth of mobile computing (Arnott and Pervan, 2014; Hosack et al., 2012) is challenging and changing the BI field (Watson, 2009). Mobile technologies extend BI usage scenario beyond users’ office desks and hours, giving rise to an extension of BI, coined as mobile business intelligence (m-BI). m-BI is defined as “data-driven decision support applications on mobile devices like smartphones and tablet computers” (Power, 2013, p. 6).

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Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
The Routledge Companion to Accounting Information Systems
editor
Quinn, Martin and Strauss, Erik
pages
11 pages
publisher
Routledge
external identifiers
  • scopus:85045354159
ISBN
9781138125865
9781317297345
DOI
10.4324/9781315647210
language
English
LU publication?
yes
id
aa5ecfa6-05d1-4bde-8dd7-5ad820a58955
date added to LUP
2018-04-23 14:59:35
date last changed
2024-10-15 01:25:42
@inbook{aa5ecfa6-05d1-4bde-8dd7-5ad820a58955,
  abstract     = {{<p>As the new generation of Information Technology is progressing at a rapid pace, with big data establishing a trend in organisations, integration between systems becomes substantial. In this chapter, we particularly look at information security as a system that has become an essential part of Business Intelligence (BI). BI systems represent one type of decision support system (DSS) with a focus on data analysing and presenting actionable information to decision-makers in an accessible and visual manner (Watson and Wixom, 2007). The way business information is presented and delivered through BI (Watson, 2009) can provide support to employees’ decision-making processes (Kowalczyk and Buxmann, 2014; Popovic et al., 2012) and affect organisational knowledge (Shollo and Galliers, 2015). In recent years, BI has been integrated aggressively in many different industries (Arnott and Pervan, 2008), including retail, telecommunication, healthcare, transportation and financial services (Chaudhuri et al., 2011). The rapid growth of mobile computing (Arnott and Pervan, 2014; Hosack et al., 2012) is challenging and changing the BI field (Watson, 2009). Mobile technologies extend BI usage scenario beyond users’ office desks and hours, giving rise to an extension of BI, coined as mobile business intelligence (m-BI). m-BI is defined as “data-driven decision support applications on mobile devices like smartphones and tablet computers” (Power, 2013, p. 6).</p>}},
  author       = {{Kajtazi, Miranda and Tona, Olgerta}},
  booktitle    = {{The Routledge Companion to Accounting Information Systems}},
  editor       = {{Quinn, Martin and Strauss, Erik}},
  isbn         = {{9781138125865}},
  language     = {{eng}},
  month        = {{01}},
  pages        = {{251--261}},
  publisher    = {{Routledge}},
  title        = {{Integration with other data and systems}},
  url          = {{http://dx.doi.org/10.4324/9781315647210}},
  doi          = {{10.4324/9781315647210}},
  year         = {{2017}},
}