Exploiting Business Intelligence for Strategic Knowledge Management

Wynn, Martin G; Brinkmann, Daniel

doi:10.4018/ijbir.2016010102

Cited by 10 publications

(4 citation statements)

References 9 publications

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“…Extant literature mostly focuses the alignment between data governance and compliance with corporate strategy (Weber et al, 2009;Wende, 2007). Although Yeoh and Koronios (2010) and Wynn and Brinkmann (2016) recognise the importance of synergy with the corporate strategy, they do not discuss it in the master data context. Some authors such as Schierholz et al (2007) have addressed the design of customer relationship management (CRM) solutions in conjunction with the goals defined by the corporate strategy.…”

Section: Introductionmentioning

confidence: 99%

Defining one product data for a product

Silvola

Tolonen

Härkönen

et al. 2019

IJBIS

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The growing importance of product data management and master data necessitate companies to have practices for deriving product master data from their corporate strategy. Business drivers need to be understood from the perspective of corporate strategy to capture product master data in relevant systems in a straightforward manner. Ideally master data is created only once and used through the life-cycle of the product. This study clarifies the foundations for determining one product data from corporate strategy. Data definitions are analysed to understand its linkages to business drivers, whereas main business processes are used to support categorisation. The practices of three companies are analysed to understand how business drivers for new products impact product data requirements. The results highlight the importance of business drivers in defining one product data based on the product master data, business-process related product data and IT systems over the product life-cycle.

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Section: Introductionmentioning

confidence: 99%

Defining one product data for a product

Silvola

Tolonen

Härkönen

et al. 2019

IJBIS

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“…For this reason, DT projects will often go hand-in-hand with data analytics initiatives. The development of a digital thread and the use of webhooks and APIs to provide the necessary connectivity have parallels with the development of the data warehouse, data marts, and corporate data models in the 1990s [48]. For example, Dontha [15] (para.…”

Section: Discussionmentioning

confidence: 99%

Digital Twin Applications in Manufacturing Industry: A Case Study from a German Multi-National

Wynn,

Irizar

2023

Future Internet

Self Cite

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This article examines how digital twins have been used in a multi-national corporation, what technologies have been used, what benefits have been delivered, and the significance of people- and process-related issues in achieving successful implementation. A qualitative, inductive research method is used, based on interviews provided by key personnel involved in three digital twin projects. The article concludes that digital twin projects are likely to involve incremental rather than disruptive change, and that successful implementation is usually underpinned by ensuring technology, people, and process change factors are progressed in a balanced and integrated fashion. Building upon existing frameworks, three “properties” are identified as being of particular value in digital twin projects—workforce adaptability, technology manageability, and process agility—and a related set of steps and actions is put forward as a template and point of reference for future digital twin implementations. The combination of assessing digital properties and following a set of key actions represents a novel approach to digital twin project planning, and overall the findings are a contribution to the developing theory around digital twins and digitalization, in general, and are also of relevance to professionals embarking on DT projects.

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“…This is about considering raw information and utilizing software application to formulate meaningful sources of data which every division might utilize to effectively impact the business. The BI analysts utilizing this method might structure the data tools which permit information to be placed into a massive cache of spreadsheets, graphs or tables which can therefore be utilized for different business aims [6]. For instance, information might be utilized to formulate presentations which are essential for the restructuring of attainable business goals.…”

Section: Data Sourcesmentioning

confidence: 99%

“…In the segment of business intelligence, there are a lot of tools that are utilized in the analysis of different BI components and structure them into real problem-solving actions. Modern ubiquitous application of the internet and the considerable entrepreneurial zeal of the market ecosystem have relatively fostered the niche start-ups and market including the consulting companies and other business ventures which have enhanced the development of BI tools [7]. These certain business frameworks and tools being used in the modern age and the data analytics, visual analytics, data consultation, mobile BI, cloud technology, predictive analytics and data analytics are essential for the business.…”

Section: Bi Toolsmentioning

confidence: 99%

Business Intelligence and Knowledge Management in Enterprise Applications

Ramu

Haldorai²

2020

JEBM

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In the modern business day, enterprises have extensive data that has stimulated data variety in many information silos. These activities for extracting valued data from the sources apply Knowledge Management (KM) and Business Intelligence (BI) technologies and applications. The BI frameworks can effectively empower companies to share, analyse also access knowledge and data. Apart from that, KM fundamentally promotes the usage of knowledge and data that is available in the company. In that case, it might be assumed that KM and BI plays a fundamental role in the development of quantitative and qualitative data value which is essential for decision-making. These concepts can benefit from each other and it can be considered that BI plays a fundamental role in KM projects. For instance, BI techniques are applicable in KM for carrying and creating knowledge. The core rationale of this research is to evaluate the interactions, connections and differences between KM and BI. In this analysis, the essential information was taken and collected from different case studies and various literature sources. This procedure is used to compose this research which helps to access accurate data which is essential to mention enterprise management in the modern age. In general, effective agreement results has been witnessed in other scholastic research which states the clear connection of the two concepts and their interaction with each other.

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Exploiting Business Intelligence for Strategic Knowledge Management

Cited by 10 publications

References 9 publications

Defining one product data for a product

Defining one product data for a product

Digital Twin Applications in Manufacturing Industry: A Case Study from a German Multi-National

Business Intelligence and Knowledge Management in Enterprise Applications

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