How can SMEs benefit from big data? Challenges and a path forward

Big data is big news, and large companies in all sectors are making significant advances in their customer relations, product selection and development and consequent profitability through using this valuable commodity. Small and medium enterprises (SMEs) have proved themselves to be slow adopters of the new technology of big data analytics and are in danger of being left behind. In Europe, SMEs are a vital part of the economy, and the challenges they encounter need to be addressed as a matter of urgency. This paper identifies barriers to SME uptake of big data analytics and recognises their complex challenge to all stakeholders, including national and international policy makers, IT, business management and data science communities. The paper proposes a big data maturity model for SMEs as a first step towards an SME roadmap to data analytics. It considers the ‘state-of-the-art’ of IT with respect to usability and usefulness for SMEs and discusses how SMEs can overcome the barriers preventing them from adopting existing solutions. The paper then considers management perspectives and the role of maturity models in enhancing and structuring the adoption of data analytics in an organisation. The history of total quality management is reviewed to inform the core aspects of implanting a new paradigm. The paper concludes with recommendations to help SMEs develop their big data capability and enable them to continue as the engines of European industrial and business success. Copyright © 2016 John Wiley & Sons, Ltd.Peer ReviewedPostprint (author's final draft

Analytical Study on Building a Comprehensive Big Data Management Maturity Framework

Harnessing big data in organizations today realizes benefits for competitive advantage. Generated profound insights are reflected in informed decision making, creating better business plans, and improved service delivery. Yet, organizations are still not recognizing how mature their big data management capabilities are. However, there is no structured approach to assess and build necessary capabilities for valuable big data utilizing, which draws a clear improvement pathway. Existing solutions lack a consistent perception of big data management capabilities, a reliable assessment, and a rigid improvement scheme. This paper contributes in building an analytical study on existing key works in assessing and building big data management capabilities. Drawing upon the results and gaps revealed from this analytical study, the main requirements for building a comprehensive big data management maturity framework are defined. This framework will enable organizations to assess and improve their current capabilities towards effective big data management.https://dorl.net/dor/ 20.1001.1.20088302.2022.20.1.13.

PENGARUH RASIO CAMEL TERHADAP KONDISI FINANCIAL DISTRESS PADA PERBANKAN SYARIAH

Bank well-being level measurement has been regulated based on indonesia bank rule with take\ud outside sk no. 30/11/piece/mer date 30 aprils 1997 about bank well-being level evaluation\ud method that cover aspects capital adequacy ratio (capitalization), assets quality (voluminous\ud assets quality), management risk (management risk), earnings (rentability) and liquidity\ud (liquidity) which aspects usually known with method camel. analysis operative in conventional\ud banking and also can be used in sharia banking.\ud This watchfulness aim is to tests influence camel towards kondisis financial menytress sharia\ud banking and to test dominant influential variable in determines financial menytress sharia\ud banking. analyzer that used in this watchfulness that is by using doubled linear regression\ud analysis.\ud Based on test result f knowable camel influential towards condition financial menytress sharia\ud banking. based on regression coefficient result each variable knowable influence magnitude each\ud variable, to capital adequacy ratio (car) that is as big as 0,371, return on risked assets (rora) as\ud big as 0,384, return on assets (roa) as big as -0,462, operating expenses ratioes towards interest\ud income (bopo) that is as big as 0,432, cash ratio (cr) as big as 0,421 and loan to deposit ratio (ldr)\ud as big as -0,369. based on comparison so inferential that return on assets (roa) has dominant\ud influence towards financial menytress in sharia banking

Big data science issues in distributed database

This paper reviewed on the issues that occurs by Big Data Science such as challenges, opportunities, good practices and tools required to run Big Data Science. The paper refers to different techniques used to define the requirements on data management, access control and security. The paper also explains on how Big Data helps in contributing its function towards the development of distributed database

Cherenkov Telescope Array Data Management

Very High Energy gamma-ray astronomy with the Cherenkov Telescope Array (CTA) is evolving towards the model of a public observatory. Handling, processing and archiving the large amount of data generated by the CTA instruments and delivering scientific products are some of the challenges in designing the CTA Data Management. The participation of scientists from within CTA Consortium and from the greater worldwide scientific community necessitates a sophisticated scientific analysis system capable of providing unified and efficient user access to data, software and computing resources. Data Management is designed to respond to three main issues: (i) the treatment and flow of data from remote telescopes; (ii) "big-data" archiving and processing; (iii) and open data access. In this communication the overall technical design of the CTA Data Management, current major developments and prototypes are presented.Comment: 8 pages, 2 figures, In Proceedings of the 34th International Cosmic Ray Conference (ICRC2015), The Hague, The Netherlands. All CTA contributions at arXiv:1508.0589

Urban Local Governance in the Crucible: empirical overtones of central government meddling in local urban councils affairs in Zimbabwe

This article explores the criticalness of decentralized governance as a solution towards service delivery challenges experienced by urban centres. But, in Zimbabwe centre-local relations are a phenomenological reflection of a tendency towards (re)centralization than decentralization. This is clearly visible in the widespread political interference by central government’s Ministry of Local Government, Public Works and National Housing in the administrative affairs of urban councils. The results from a survey of a sample of fifty-two respondents on the Zimbabwean urban governance status revealed that issues of political interference revolved around the firing of legitimate councils and mayors, control of all council reforms including generation of funds, politicking in the chambers, unlawful appointments, and the use of commissions. Constitutional amendment has been cited as a big step towards political interference in urban governance of the country.decentralisation, citizenship, sustainable development, urban politics, constitution, financial management, interference