Advanced

Analytics in a Decision Service Context

Broersen, Thomas LU and Bon, Dave LU (2017) INFM10 20171
Department of Informatics
Abstract
Organizations struggle to rapidly respond to competitive and changing business environments and therefore implement smarter Information Systems that incorporate automated decision services. An imminent role for complementing automated decision making are analytics, as it can evaluate past performances to provide insights on potential future decision making endeavors. While the consensus on how analytics support decision making is considerable, how analytics are utilized and the values it provide to an automated decision services is limitedly explored. Therefore the aim of this study is to examine the values that analytics provide for automated decisions services. The study followed a qualitative research approach, conducting four... (More)
Organizations struggle to rapidly respond to competitive and changing business environments and therefore implement smarter Information Systems that incorporate automated decision services. An imminent role for complementing automated decision making are analytics, as it can evaluate past performances to provide insights on potential future decision making endeavors. While the consensus on how analytics support decision making is considerable, how analytics are utilized and the values it provide to an automated decision services is limitedly explored. Therefore the aim of this study is to examine the values that analytics provide for automated decisions services. The study followed a qualitative research approach, conducting four interviews with prominent players in the field of decision automation and decision management. The empirical data showed that analytics provides more certainty in decision making and can be used to design the initial decision services, but are more commonly used to provide insights on how the decision services can be improved. The utilization of analytics embedded in decision services, especially for predicting future outcomes based on historical data, is promptly increasing. Analytics contributes to the improvement of automated decision services, however has not been widely adapted. The study also showed that analytics performs an imperative role in decision services while at the same time continue to add value to certainty, accuracy, agility and cost reduction in a decision service context. The future perspectives of analytics in such a context include an increasing use of predictive models, to assure real-time recognition of abnormal behavior and reducing the role of subjective human thinking. (Less)
Please use this url to cite or link to this publication:
author
Broersen, Thomas LU and Bon, Dave LU
supervisor
organization
alternative title
Exploring analytical values for enhancing automated decision performance
course
INFM10 20171
year
type
H1 - Master's Degree (One Year)
subject
keywords
Analytics, Decision Automation, Decision Management, Decision Services
report number
INF17-018
language
English
id
8916083
date added to LUP
2017-06-21 12:56:35
date last changed
2017-06-21 12:56:35
@misc{8916083,
  abstract     = {Organizations struggle to rapidly respond to competitive and changing business environments and therefore implement smarter Information Systems that incorporate automated decision services. An imminent role for complementing automated decision making are analytics, as it can evaluate past performances to provide insights on potential future decision making endeavors. While the consensus on how analytics support decision making is considerable, how analytics are utilized and the values it provide to an automated decision services is limitedly explored. Therefore the aim of this study is to examine the values that analytics provide for automated decisions services. The study followed a qualitative research approach, conducting four interviews with prominent players in the field of decision automation and decision management. The empirical data showed that analytics provides more certainty in decision making and can be used to design the initial decision services, but are more commonly used to provide insights on how the decision services can be improved. The utilization of analytics embedded in decision services, especially for predicting future outcomes based on historical data, is promptly increasing. Analytics contributes to the improvement of automated decision services, however has not been widely adapted. The study also showed that analytics performs an imperative role in decision services while at the same time continue to add value to certainty, accuracy, agility and cost reduction in a decision service context. The future perspectives of analytics in such a context include an increasing use of predictive models, to assure real-time recognition of abnormal behavior and reducing the role of subjective human thinking.},
  author       = {Broersen, Thomas and Bon, Dave},
  keyword      = {Analytics,Decision Automation,Decision Management,Decision Services},
  language     = {eng},
  note         = {Student Paper},
  title        = {Analytics in a Decision Service Context},
  year         = {2017},
}