Knowledge Management in Business Intelligence

Herschel, Richard T.; Yermish, Ira

doi:10.1007/978-1-4419-0011-1_9

Cited by 11 publications

(8 citation statements)

References 18 publications

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“…While knowledge is useful in general, having relevant and impactful informational insights provides higher value to firms (Liu et al, 2014). Through BI applications, valuable business insights is created to support decision-making, increasing the information value of data resided in the database (Curko et al, 2007;Herschel and Jones, 2005). In particular, much literature emphasizes that data, information and operational insights are one of the most valuable strategic resource that confers firm competitiveness (e.g., Craighead et al, 2009;Nonaka and Takeuchi, 1995;Ranft and Lord, 2002).…”

Section: Discussionmentioning

confidence: 99%

Business intelligence systems and operational capability: an empirical analysis of high-tech sectors

Yiu

Yeung

Jong

2020

IMDS

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PurposeIn this research, we empirically examine the impact of Business Intelligence (BI) systems on operational capability in high-tech sectors. We also seek to understand the contextual factors that facilitate the adoption of BI systems.Design/methodology/approachWe adopt Propensity Score Matching (PSM) and event study methodology, and analyze the financial data for a sample of 144 US firms which adopted BI systems from 2005–2014, and compare them to control firms without BI systems.FindingsWe find that the implementation of BI systems leads to higher operational capability, particularly for large high-tech firms with high technology intensity. We further show that technology intensity and firm size are important contextual factors for firms to reap the benefits of BI systems.Practical implicationsWe demonstrate how benefits from the adoption of BI systems are likely to be strengthened. The benefits of BI systems depend on firms' technology intensity and firm size of high-tech firms. Accessing relevant and timely reports for decision-making is particularly important in the highly dynamic, volatile and competitive high-tech sectors.Originality/valueWe contribute to the literature by providing empirical evidence that the adoption of BI systems can improve firms' operational capability and show that technology intensity and firm size are important contextual factors for firms to reap the benefits of BI systems. We advance the understanding regarding the contextual factors in which firms are more likely to gain additional benefits from their adoptions of BI systems.

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Section: Discussionmentioning

confidence: 99%

Business intelligence systems and operational capability: an empirical analysis of high-tech sectors

Yiu

Yeung

Jong

2020

IMDS

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“…This knowledge must be managed so that it can be used by the organization whenever it is required. In this sense, the set of business intelligence technologies facilitates the collection, analysis and management of this valuable knowledge [5].…”

Section: A Strategic Intelligencementioning

confidence: 99%

“…Gartner defines business intelligence as a set of all technologies that collect and analyze data to improve decisionmaking. Business intelligence deals with decision-making using, as main elements, data storage and online analytical processing techniques (OLAP) [5]. Specifically, according to the definition offered by Gartner [7], "Business Intelligence services are offered to design, develop and implement business processes and integrate, support and manage applications and related technology platforms."…”

Section: B Knowledge Management and Business Intelligencementioning

confidence: 99%

“…At a practical level, this analysis translates into functional requirements that the implementation of the platform must meet to adequately address the management needs of the organization.  In the second phase, the units were shown examples of technologies that could improve management: a dynamic data analysis system based on OLAP cubes [5], a reporting system, and a dashboard for visualizations. OLAP cubes were chosen because it is the most widely used tool at the industrial level within the field of business intelligence.…”

Section: B Phase 2: Needs Analysismentioning

confidence: 99%

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A Framework for Strategic Intelligence Systems Applied to Education Management: A Pilot Study in the Community of Madrid

et al. 2021

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The management of educational policies is a complex issue. There are complexities related to the country's organizational system (competencies delegated by different areas in some cases), and to the limited resources in the educational system. In addition, there are many variables that need to be managed: ICT resources, special educational needs, human resources available, the socioeconomic characteristics of each district, etc. These types of issues are similar to those dealt with by strategic intelligence management. In this field, commonly included within innovation management, methodological frameworks are established that enable collection and consolidation of data from various sources and their subsequent exploitation to enhance decision-making based on previously identified needs. This article presents the details of a pilot plan aimed at implementing a framework for strategic intelligence management in the educational management system of the Community of Madrid (Spain). These intelligence systems are difficult to deploy in educational organizations that have highly fragmented management as in the case described in our pilot plan, although their implementation leads to more correct and agile decision-makings. This paper describes the steps carried out to define the new management platform requirements, its technical implementation issues, and the validation results that demonstrate its functional validity and acceptance by end-users participating in the described pilot project.

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“…Better information leads to better strategies, tactics, and a more efficient decisionmaking process ( Schwartz and Teeni, 2011, p.73). Herschel (2008) argued that BI activities should lead to knowledge improvement. In other words, "the effectiveness of BI should measure based on how well it promotes and enhances knowledge, how well it improves the mental model(s) and understanding of the decision maker(s), and how well it improves decision making and, hence, firm performance.…”

Section: Relationship Between Bi and Kmmentioning

confidence: 99%

Integration of Business Intelligence and Knowledge Management – A literature review

Rostami¹

2014

JISIB

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In today’s world data are so numerous that technology is needed to cope with this knowledge. Business Intelligence (BI) is a process that involves sorting all the collected information and select those that are relevant. BI provides critical insights that help organizations make right decisions. Knowledge management (KM) is a key approach to solving current problems. KM can be defined as a systematic process of finding, selecting, organizing, distilling and presenting information in a way that improves an employee's comprehension in a specific area of interest. BI and KM play an important role in improving the qualitative and quantitative value of information available for decision making. KM and BI can also benefit from each other. It seems that integration of BI and KM can help organizations achieve wider benefits. Integration of BI and KM will not only help to promote and enhance knowledge for better decision making, but also improve an organization’s performance. Therefore it is imperative for organizations to have both BI and KM as an integrated system to get full value from both. This paper is a literature review which shows the importance of BI and KM Integration through a series of models.

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Knowledge Management in Business Intelligence

Cited by 11 publications

References 18 publications

Business intelligence systems and operational capability: an empirical analysis of high-tech sectors

Business intelligence systems and operational capability: an empirical analysis of high-tech sectors

A Framework for Strategic Intelligence Systems Applied to Education Management: A Pilot Study in the Community of Madrid

Integration of Business Intelligence and Knowledge Management – A literature review

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