From an information consumer to an information author: a new approach to business intelligence

Bani-Hani, Imad; Tona, Olgerta; Carlsson, Sven

doi:10.1080/10919392.2018.1444358

Cited by 17 publications

(12 citation statements)

References 60 publications

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“…SSBA is an approach to data analytics that basically enables its users to experience a higher degree of independence while exploring and exploiting data in the process of attending to a business need [5,33]. Yet, this process depends on institutions, resources, and actors that are active in a SSBA environment.…”

Section: Discussionmentioning

confidence: 99%

Patterns of Resource Integration in the Self-service Approach to Business Analytics

Bani-Hani¹,

Tona²,

Carlsson³

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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The main premise of Self-Service Business Analytics (SSBA) is to make business employees autonomous during the data analytical process. To empower business employees, organizations are decentralizing their analytical capabilities through an SSBA approach. Yet, little is known about how employees integrate resources, such as, among others, personal competencies, environment resources including technology, and to generate insights in SSBA. Based on the empirical data of a major Norwegian online marketplace and drawing on service-dominant logic as an analytical framework, we identify and explain two types of resource integration in an SSBA environment: direct and clustered resource integration (including 1st tier and 2nd tier) enabled and controlled by three types of institutions. We finally discuss some organizational implications and the meaning of each sub-type of clustered resource integration.

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Section: Discussionmentioning

confidence: 99%

Patterns of Resource Integration in the Self-service Approach to Business Analytics

Bani-Hani¹,

Tona²,

Carlsson³

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…In addition, with self -service support it is easier for managers to and executives to get the insights without IT interferation. In Bani-Hani et al, (2018) it is indicated that there are five main attributes that lead towards the success of self-service technologies (SST): co-production, autonomy, ease of use, control and trust. Their characteristics and explanation are summarized in the figure 1 below: Figure 1.…”

Section: Digital Capability (Organizational Context)mentioning

confidence: 99%

Self-Service Business Intelligence success factors that create value for business

Sinaj¹

2021

Proceedings of the 1st Linnaeus Student Conference on Information Technology: Digital Transformation in the Contemporary World

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Business Intelligence and Analytics have change the business needs, but the market requires a more data- driven decision-making environment. Self-service Business Intelligence initiatives are providing more competitive advantages currently. The role of the users and freedom of access is one of the essential advantages that SSBI holds. Despite this fact, there is still needed analysis on how business can gain more value from SSBI, based on the technological, operational and organizational aspects. The work in this paper serves to analysis on the SSBI requirements that bring value to business. The paper is organized starting from building knowledge by upon the existing literature and exploring the domain. Data will be collected by interviewing experts of the fields. The main findings will provide future suggestion related to the topic and the results will serve both the companies that have implemented it and the ones that want to see it as a perspective in the future.

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“…It is obviously clear that it is comprised of two terms: Self-Service (SS) and Analytics (A). The first part, SS, is more related to the individual behavior and preference to be independent, in control, save time and cost and to be efficient [16,56]. It denotes an attitude or ideology toward approaching a certain activity or task.…”

Section: Self-service Analytics Environmentmentioning

confidence: 99%

“…Self-Service Analytics (SSA) has recently emerged as a new approach to BA, allowing various employees at different organizational levels to independently build custom reports and explore previous ones without relying on the IT/BA department [14]. As a result, and with the support of the analytical environment, the user's role shifts from a consumer to more of a consumer-producer and expands the involvement of business users, allowing them not only to consume information but also to author information [15][16][17]. The shift in user role has made data analytics more personal and its value subjective to the user's needs, which highlights the need to maintain a certain level of value and hence support continuous use.…”

Section: Introductionmentioning

confidence: 99%

Self-Reinforcement Mechanisms of Sustainability and Continuous System Use: A Self-Service Analytics Environment Perspective

Bani-Hani

Shepherd²

2021

Informatics

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The capabilities of the people, processes, and technology are important factors to consider when exploring continuous use to create value. Multiple perceptions and attitudes towards self-service systems lead to various usage levels and outcomes. With complex analytical structures, organizations need a better understanding of IS value and users’ satisfaction. Incompatibility reduces the purpose of self-service analytics, decreasing its value and making it obsolete. In a qualitative, single case study, 20 interviews in a major digital Scandinavian marketplace were explored using the expectation–confirmation theory of continuous use to explore the mechanisms influencing the sustainability of self-service value. Two main mechanisms were identified: the personal capability reinforcement mechanism and the environment value reinforcement mechanism. This study contributes to the post-implementation and continuous use literature and self-service analytics literature and provides some practice implications to the related industry.

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From an information consumer to an information author: a new approach to business intelligence

Cited by 17 publications

References 60 publications

Patterns of Resource Integration in the Self-service Approach to Business Analytics

Patterns of Resource Integration in the Self-service Approach to Business Analytics

Self-Service Business Intelligence success factors that create value for business

Self-Reinforcement Mechanisms of Sustainability and Continuous System Use: A Self-Service Analytics Environment Perspective

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