scholarly journals The Wizard of Oz: Instilling a Resilient Heart into Self-Service Business Applications

2006 ◽  
pp. 209-216
Author(s):  
Gabriel J. Costello
Keyword(s):  
Wizard Of Oz ◽  
Service Business ◽  
Business Applications ◽  
Self Service

scholarly journals Fusion Cubes

2013 ◽  
Vol 9 (2) ◽  
pp. 66-88 ◽  
Author(s):  
Alberto Abelló ◽  
Jérôme Darmont ◽  
Lorena Etcheverry ◽  
Matteo Golfarelli ◽  
Jose-Norberto Mazón ◽  
...  
Keyword(s):  
Business Intelligence ◽  
Decision Process ◽  
Decision Makers ◽  
Related Research ◽  
Service Business ◽  
Short Lifespan ◽  
Research Challenges ◽  
Self Service ◽  
Core Idea ◽  
And Storage

Self-service business intelligence is about enabling non-expert users to make well-informed decisions by enriching the decision process with situational data, i.e., data that have a narrow focus on a specific business problem and, typically, a short lifespan for a small group of users. Often, these data are not owned and controlled by the decision maker; their search, extraction, integration, and storage for reuse or sharing should be accomplished by decision makers without any intervention by designers or programmers. The goal of this paper is to present the framework we envision to support self-service business intelligence and the related research challenges; the underlying core idea is the notion of fusion cubes, i.e., multidimensional cubes that can be dynamically extended both in their schema and their instances, and in which situational data and metadata are associated with quality and provenance annotations.

Self-Service Business Intelligence Adoption in Business Enterprises

2017 ◽  
Vol 13 (3) ◽  
pp. 65-85 ◽  
Author(s):  
Mohammad Daradkeh ◽  
Radwan Moh'd Al-Dwairi
Keyword(s):  
Technology Acceptance ◽  
Business Intelligence ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
System Quality ◽  
Service Business ◽  
Business Enterprises ◽  
Self Service ◽  
Analysis Quality

Despite the growing popularity of self-service business intelligence (SSBI) tools, empirical research that investigates their acceptance by business professionals is still scarce. This paper presents and tests an integrated model of the antecedents of users' acceptance of SSBI tools in business enterprises. The proposed model is developed based on the technology acceptance model (TAM) and incorporating information and system quality from DeLone and McLean IS success model. It also includes an important factor from the business intelligence literature called analysis quality. To test the model, data were collected through a questionnaire survey from 331 business users working in a variety of industries in Jordan. Data were analysed using structural equation modeling (SEM) techniques. The results demonstrated that the three quality factors– information quality, system quality and analysis quality – are key antecedents of perceived usefulness and ease of use, which in turn were found to be strong predictors of users' intention to use SSBI tools. The findings of this study provide several implications for research and practice, and thus should help in the design and deployment of more user-accepted SSBI tools.

scholarly journals User-Related Challenges of Self-Service Business Intelligence

2020 ◽  
pp. 1-15
Author(s):  
Christian Lennerholt ◽  
Joeri Van Laere ◽  
Eva Söderström
Keyword(s):  
Business Intelligence ◽  
Service Business ◽  
Self Service

scholarly journals The Triadic Relationship of Sense-Making, Analytics, and Institutional Influences

Informatics ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 3
Author(s):  
Imad Bani-Hani ◽  
Soumitra Chowdhury ◽  
Arianit Kurti
Keyword(s):  
Data Analytics ◽  
Business Environment ◽  
Sense Making ◽  
Business Analytics ◽  
Service Business ◽  
Institutional Influences ◽  
Self Service ◽  
Relationship Of ◽  
The Relationship ◽  
Triadic Relationship

The current business environment demands the enablement of organization-wide use of analytics to support a fact-based decision making. Such movement within the organization require employees to take advantage of the self-service business analytics tools to independently fulfil their needs. However, assuming independence in data analytics requires employees to make sense of several elements which collectively contribute to the generation of required insights. Building on sense-making, self-service business analytics, and institutions literature, this paper explores the relationship between sense-making and self-service business analytics and how institutions influence and shape such relationship. By adopting a qualitative perspective and using 22 interviews, we have empirically investigated a model developed through our literature review and provided more understanding of the sense-making concept in a self-service business analytics context.

Encouraging the use of self-service business intelligence – an examination of employee-related influencing factors

2020 ◽  
Vol 29 (1) ◽  
pp. 1-26
Author(s):  
Jens Passlick ◽  
Nadine Guhr ◽  
Benedikt Lebek ◽  
Michael H. Breitner
Keyword(s):  
Influencing Factors ◽  
Business Intelligence ◽  
Use Of Self ◽  
Service Business ◽  
Self Service

scholarly journals SELF-SERVICE BUSINESS ANALYTICS AND DATA GOVERNANCE

2020 ◽  
Author(s):  
Mihaela MUNTEAN ◽  
Constantin Viorel NEGRUŢ ◽  
Florin MILITARU
Keyword(s):  
Business Analytics ◽  
Data Governance ◽  
Service Business ◽  
Self Service

Self-Service Business Intelligence

Controlling ◽  
2021 ◽  
Vol 33 (6) ◽  
pp. 50-56
Author(s):  
Marvin Jagals ◽  
Erik Karger ◽  
und Marco Boehle
Keyword(s):  
Business Intelligence ◽  
Service Business ◽  
Self Service

Self-Service BI gestattet Fachbereichen innerhalb einer Organisation in Eigenverantwortung Analysen zu erstellen. In der Praxis existieren dazu jedoch besonders auf Managementebene diverse Herausforderungen. Im Rahmen dieses Beitrags werden Gestaltungsempfehlungen erörtert, die der Managementpraxis zu einer erfolgreichen Implementierung verhelfen.

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