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Business Intelligence & Analytics (BI&A) Systems Training: The Guidelines for Improving the Effectiveness of BI&A Systems Training for Business Users

Cheng, Ruijing LU and Zhang, Xiaosong (2018) INFM10 20181
Department of Informatics
Abstract
The technical department usually own the Business Intelligence and Analytics (BI&A) systems. However, due to the need for faster decision-making, the business users started to demand using BI&A in their daily work as well. The traditional training for BI&I focused more on the technical people, who have proficient technical background while the business users lack technical backgrounds. Therefore, the traditional BI&A training program does not satisfy the needs of the business users. This demand of business user stemmed the need for effective training program targeting the business users. The purpose of this thesis is to develop the guidelines for improving the effectiveness of the BI&A systems training program for the business users. From... (More)
The technical department usually own the Business Intelligence and Analytics (BI&A) systems. However, due to the need for faster decision-making, the business users started to demand using BI&A in their daily work as well. The traditional training for BI&I focused more on the technical people, who have proficient technical background while the business users lack technical backgrounds. Therefore, the traditional BI&A training program does not satisfy the needs of the business users. This demand of business user stemmed the need for effective training program targeting the business users. The purpose of this thesis is to develop the guidelines for improving the effectiveness of the BI&A systems training program for the business users. From the literature review, we identified the factors that may affect the effectiveness of the training and proposed the initial guidelines for the training program. We then collected data from six trainers and users, who have the experience in either training or taking the training program. Based on the findings, we developed the new guidelines for the training program. (Less)
Please use this url to cite or link to this publication:
author
Cheng, Ruijing LU and Zhang, Xiaosong
supervisor
organization
course
INFM10 20181
year
type
H1 - Master's Degree (One Year)
subject
keywords
Business Intelligence, Business Intelligence & Analytics, End-users, Business User, Training Program
report number
INF18-002
language
English
id
8950559
date added to LUP
2018-06-18 14:57:34
date last changed
2018-06-18 14:57:34
@misc{8950559,
  abstract     = {{The technical department usually own the Business Intelligence and Analytics (BI&A) systems. However, due to the need for faster decision-making, the business users started to demand using BI&A in their daily work as well. The traditional training for BI&I focused more on the technical people, who have proficient technical background while the business users lack technical backgrounds. Therefore, the traditional BI&A training program does not satisfy the needs of the business users. This demand of business user stemmed the need for effective training program targeting the business users. The purpose of this thesis is to develop the guidelines for improving the effectiveness of the BI&A systems training program for the business users. From the literature review, we identified the factors that may affect the effectiveness of the training and proposed the initial guidelines for the training program. We then collected data from six trainers and users, who have the experience in either training or taking the training program. Based on the findings, we developed the new guidelines for the training program.}},
  author       = {{Cheng, Ruijing and Zhang, Xiaosong}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Business Intelligence & Analytics (BI&A) Systems Training: The Guidelines for Improving the Effectiveness of BI&A Systems Training for Business Users}},
  year         = {{2018}},
}