A Maturity Analysis of Big Data Technologies

Boncea, Radu; Petre, Ionuț; Smada, Dragos-Marian; Zamfiroiu, Alin

doi:10.12948/issn14531305/21.1.2017.05

Cited by 9 publications

(6 citation statements)

References 7 publications

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“…In the context of a single firm, the output depends on factors and random events that the process cannot manage. For example, big data technologies are expensive and of varying maturity (Alharthi et al, 2017;Boncea et al, 2017). Immature technology can seriously damage the asset creation process.…”

Section: Discussionmentioning

confidence: 99%

“…However, they are not sufficient on their ownthere is no guarantee that more input produces more output. Scholars have observed several factors, such as organizational factors inhibiting radical innovations in incumbent firms (Sandberg and Aarikka-Stenroos, 2014), as well as data quality concerns weakening the veracity of data ( Janssen et al, 2017;Vidgen et al, 2017), immature technologies leading to problems (Boncea et al, 2017), or simply a lack of analytic resources that may hamper the process. From the viewpoint of a single firm, these external factors add uncertainty to the process.…”

Section: Discussionmentioning

confidence: 99%

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A recipe for big data value creation

Ylijoki

Porras

2018

BPMJ

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Purpose The purpose of this paper is to present a process-theory-based model of big data value creation in a business context. The authors approach the topic from the viewpoint of a single firm. Design/methodology/approach The authors reflect current big data literature in two widely used value creation frameworks and arrange the results according to a process theory perspective. Findings The model, consisting of four probabilistic processes, provides a “recipe” for converting big data investments into firm performance. The provided recipe helps practitioners to understand the ingredients and complexities that may promote or demote the performance impact of big data in a business context. Practical implications The model acts as a framework which helps to understand the necessary conditions and their relationships in the conversion process. This helps to focus on success factors which promote positive performance. Originality/value Using well-established frameworks and process components, the authors synthetize big data value creation-related papers into a holistic model which explains how big data investments translate into economic performance, and why the conversion sometimes fails. While the authors rely on existing theories and frameworks, the authors claim that the arrangement and application of the elements to the big data context is novel.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

A recipe for big data value creation

Ylijoki

Porras

2018

BPMJ

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“…Organizational leaders can leverage big data open-source platforms to create their custom big data applications for advanced data analytics (Boncea et al, 2017). Open source big data platforms can also support integration with one another to form a single solution.…”

Section: Big Data Analytics and Competitive Advantagementioning

confidence: 99%

Strategies to Implement Big Data Analytics in Telecommunication Organizations

Aneato¹,

Castellanos²

2021

IJCATR

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Information technology (IT) leaders who do not invest in big data projects may struggle to gain a competitive advantage and business insights to improve performance. Grounded in Kotter’s change and Six Sigma models, the purpose of this qualitative multiple case study was to explore strategies IT leaders use to implement big data analytics successfully. The participants comprised 4 IT leaders from 2 telecommunication organizations in the United States of America, who expertly used big data analytics strategies to promote and maximize competitive advantage. Data were collected from semistructured interviews, company documents, and project-related documents. The collected information was examined by utilizing a thematic analysis approach. Four themes emerged from the data analysis process communication, training, employee involvement in decisions, and teamwork strategy. A key recommendation from these findings is for IT leaders to use successful communication strategies to convey the vision and objectives to all organizational levels. The successful communication-strategy can help evaluate business trends, forecasts, improve overall organizational performance and competitive advantage. The implications for positive social change include the potential for job creation, thus catalysing economic growth within communities.

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“…Powell [21] derived the retinal vessel centre line distance for finding out the vasculature branching points as a landmark for image correspondence. The approach presented in [22] was tested for 462 pairs of the green channelled fundus images and reliable outcomes are achieved for the retinal image registration based on the identified vascular features for 2D vessel segmentation.…”

Section: Retinal Image Web-pacs and Design Of Dicom-srmentioning

confidence: 99%

“…To give the characterization, the curvature is the main mathematical models of retinal blood vessels. This study will retinal vascular centerline as a random process, first of all, according to the image neighborhood information to extract the blood center line and then the vascular segment between two adjacent feature points is automatically separated to extract the pixel of each pixel on the Central Line of the segment coordinate information, and by using the second order moments of the random process metrics such as the variation of statistical features to reflect the degree of change curve, through the simulation curve data and actual test on the retinal image, the test after the experiment methods for different scale, rotation of vascular give stability, and compared with other indices like chord is reported in the literature [22].…”

Section: Quantitative Analysis Of Retinal Vascular Tortuositymentioning

confidence: 99%

An Intelligent Information Management System for Retinal Image Storage and Recognition in Chronic Disease using Digital Signal and Image Processing

Tang

et al. 2021

IJCAI

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Retinal imaging plays a very significant role in the study of retinal vasculature changes indicative of chronic disease information related to vision. This study investigates the invulnerability of retinal image information in the disease information system and assesses the quantitative method of the morphological changes in the retinal vascular network. In this work, the medical digital image transmission protocol Digital Imaging & Communications in Medicine (DICOM) version 3.0 and the retinal image Picture Archiving & Communication System (PACS) were constructed in the laboratory using browser/server mode. Also, the DICOM-SR document was designed in this article using a list or hierarchy, and the retinal images to report the information of patients by using the Hypertext Transfer Protocol (HTTP)based Web Access to DICOM Persistent Objects (WADO) approach. The results showed that the retinal image PACS system constructed in Browser/Server mode can effectively store and transmit DICOM images. When the imaging device is combined with the application program, special adapters are used to negotiate the transmission syntax. The message flow is decoded in the communication process, which can be connected with the realization to improve the efficiency of information collection. The proposed PACS system integrates the quantitative features of retina providing more meaningful research data for data mining in comparison to the traditional state of the art methods based on chronic disease management system. The diagnostic ability of the retinal imaging procedure using the DICOM images is justified by obtaining 98.51%, 98.04%, 99% and 99.01% of accuracy, sensitivity, specificity and precision values respectively. Povzetek: V prispevku je predstavljen protokol in sistem za shranjevanje slik očesnega ozadja za medicinske namene.

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A Maturity Analysis of Big Data Technologies

Cited by 9 publications

References 7 publications

A recipe for big data value creation

A recipe for big data value creation

Strategies to Implement Big Data Analytics in Telecommunication Organizations

An Intelligent Information Management System for Retinal Image Storage and Recognition in Chronic Disease using Digital Signal and Image Processing

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