Big Data Evaluation Scorecard

This study seeks to examine the evolution of issues that have been espoused by both junior and senior scholars to aggregate out of literature, a criterion that can guide firms in evaluating their Big data analytic (BDA) projects. The systematic review approach took stock of varied socio-technical understanding, requirements, and capabilities used in addressing Big data issues and synthesized these issues for value accruals. The study strongly argues that Big data benefits accrue to firms whose economic activities require distributed collaborative effort, operational visibilities, cost, and time-sensitive decisions who adopt and implement the concept in their strategic, tactical, and operational levels. Though the trend shows steady growth in scholars’ interests and expectations in BDA, a significant percentage of the reviewed studies were not informed by any theory. The study contributes to BDA literature by affording scholars issue gaps and for practitioners, an analytical competency and evaluation scorecard that links strategic business goals to operational outcomes

BUSINESS INTELLIGENCE CAPABILITIES' EFFECTS ON PERFORMANCE IN A COMPETITIVE ENVIRONMENT STUDYING ON-SITE AT THE TOUCHES FOUNDATION FOR ART AND INNOVATION

Abstract This study aims to determine how the touches Foundation for Innovation and the Arts' competitive performance was impacted by its business intelligence capabilities. All 63 members of the touches Foundation for Innovation and the Arts make up the study community. The study's methodology was based on a scoring descriptive approach that identified two aspects-the first of which was business intelligence capabilities-and three other dimensions. These are (business intelligence techniques, business intelligence structure, and business intelligence culture) and competitive performance after four dimensions (cost, quality, flexibility. access) According to the study's findings, the Touches Foundation for Innovation and the Arts employees had an average degree of business intelligence across all of its aspects. The study's findings also indicated that the Touches Foundation for Innovation and the Arts employees' level of performance in a competitive environment was average additionally, the findings of the regression equation have demonstrated that there are statistically significant disparities between competitive performance and business intelligence skills across all dimensions. The study's conclusion included a number of recommendations, including educating the company's leadership and workers about the importance of acquiring business intelligence skills in order to enhance the operation of the company and take advantage of future business prospects

Enabling factors for successful business intelligence systems: A review

Business Intelligence (BI) systems have continually been one of the top priorities of CIOs for almost a decade.BI systems provide the ability to analyze information in order to support management decision making process.In context of Malaysia rural development, BI can potentially be the driving force that enable major transformation to take place.Currently, studies on success factors of BI systems have been well research, yet many organizations are still struggling to make use of the information in their BI systems implementation.The aim of this paper is to provide a better understanding of the enabling factors for successful BI systems for the appropriate needs of the organizations.This paper reviews success factors of BI systems and outlines the factors according to the need of organization.The review contributes to both academia and industry by providing analysis of success factors that direct and indirect support the organization decision making process

The Status of Business Intelligence in Small and Medium Size Enterprises in Norway

Business intelligence has the potential to bring new opportunities to organizations. Dashboards, various reporting options, visualizations techniques, end-user self-service and data warehousing are entering society at an alarming rate. There is a push from all angles to make society digital. To ensure BI is successful, it is important for organizations to determine the critical success factors beforehand. The purpose of this study is to investigate the CSFs and their associated contextual issues that impact the implementation of BI systems. In this study IT professionals in Norway has been surveyed to determine the current state in Norway.publishedVersio

Realising Synergy in Business Analytics Enabled Systems

The synergy of IT resources with other organisational resources is important in achieving operational and strategic benefits. The synergistic interaction between IT resources and other organisational resources leads to the emergence of new IT-enabled organisational resources, which are capable of generating significant organisational value. The aim of this paper is to understand how this synergy is realised between IT resources and other organisational resources. Based on a synthesis of relevant literature, we propose six enablers and mechanisms which lead to synergy. To assess the face validity of these enablers and mechanisms, we conducted ten one-hour interviews with Business Analytics (BA) experts. The results assisted us in refining and contextualising the enablers and mechanisms for BA systems and led to a clear and comprehensive definition of synergy. The paper concludes with suggestions for empirical research to further refine our definition of synergy

The Current Status of Business Intelligence: A Systematic Literature Review

Business intelligence has gained much attention the last few years and corporations has invested a lot of money in its operation to better prepare for the future. Studies show improvements in organizations performance both when it comes to better insight but also better decision making. Business intelligence software has made it possible for easier transformation of data. This article presents a systematic literature review on business intelligence and address the challenges and benefits of BI, along with its critical success factors.publishedVersio

How Business Analytics Systems Provide Benefits and Contribute to Firm Performance?

Organisations invest in Business analytics (BA) systems to improve firm performance and gain competitive advantage. BA systems use advanced analytical tools and techniques to analyse organisational data and generate insights. Decision makers at different levels of the organisations leverage the insights and take competitive actions. In this paper, we utilise Resource-based View (RBV) and business value of IT literature to develop a research model to explain the firm performance impacts of BA systems in customer relations. The research model proposes that BA capability creates informational benefits in customer relations using two pathways: (1) Direct creation of informational benefits, and (2) Indirect creation of informational benefits through developing higher-order Analytical CRM capability. Informational benefits once created, contribute to superior firm performance. The research model is evaluated using survey data in Large US-based organisations

THE ROLE OF MOBILE BI CAPABILITIES IN MOBILE BI SUCCESS

While IS success research has gained considerable attention within academia in the past, understanding its constitunts and the relationships among them has also emerged within professional fields. Since extant inquiries on the relationships among IS success dimensions have produced equivocal findings, the need to address IS success in the context of specific technologies has been regularly highlighted. Within business intelligence (BI) field one such pervasive technology gaining considerable attention is mobile BI (m-BI). \ \ Despite the recognized valu that m-BI brings to firms, our understanding of the success of m-BI is limited. To address this gap, we conducted a quantitative study of key informants using m-BI, employing multiple data collection methods to understand what the key m-BI capabilities are and other success dimensions being perceived as important by users, and how they can be assessed. \ \ Our contribution to the BI and IT business valu literature is twofold. First, our results highlight the users´ perceptions about m-BI capabilities that are deemed important for increasing satisfaction with m-BI and its use. Second, while these capabilities have a relatively high explanatory power for user satisfaction, their power to explain m-BI use is found to be rather low, suggesting there are other unobserved organizational characteristics importantly affecting m-BI usage behaviour, thus calling for further investigation