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The Potential of Big Data in Banking
13 references·1 citing·45 second hop
The Potential of Big Data in Banking (2017)The Potential of Big Data in BankingThe Big Data Analytics Gold Rush: A Research Framework for Coordination and Governance (2016)The Big Data Analytics Gold R…The Challenges of Data Quality and Data Quality Assessment in the Big Data Era (2015)The Challenges of Data Qualit…BIG DATA: NEW SCIENCE, NEW CHALLENGES, NEW DIALOGICAL OPPORTUNITIES (2015)BIG DATA: NEW SCIENCE, NEW CH…Big Data and central banks (2015)Big Data and central banksBig Data: New Tricks for Econometrics (2014)Big Data: New Tricks for Econ…Beyond the hype: Big data concepts, methods, and analytics (2014)Beyond the hype: Big data con…Big Data: Issues and Challenges Moving Forward (2013)Big Data: Issues and Challeng…Business Intelligence and Analytics: From Big Data to Big Impact (2012)Business Intelligence and Ana…Crisis Early Warning and Decision Support: Contemporary Approaches and Thoughts on Future Research (2010)Crisis Early Warning and Deci…The pathologies of big data (2009)The pathologies of big dataA Semiotics Framework for Analyzing Data Provenance Research (2008)A Semiotics Framework for Ana…Information quality benchmarks (2002)Information quality benchmarksAnchoring data quality dimensions in ontological foundations (1996)Anchoring data quality dimens…The Impact of Big Data on Banking Operations (2021)The Impact of Big Data on Ban…Economic theory of teams (1972)On the ontological expressiveness of information systems analysis and design grammars (1993)A framework for analysis of data quality research (1995)AIMQ: a methodology for information quality assessment (2002)Data quality assessment (2002)Methodologies for data quality assessment and improvement (2009)The data warehouse toolkit: practical techniques for building dimensional data warehouses (1996)Data mining with big data (2013)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Algorithms at Work: The New Contested Terrain of Control (2019)The zero marginal cost society: the Internet of things, the collaborative commons, and the eclipse of capitalism (2014)Text Mining for Central Banks (2015)The Zero Marginal Cost Society: The Internet of Things, the Collaborative Commons, and the Eclipse of Capitalism (2015)Debating big data: A literature review on realizing value from big data (2017)Machine Learning at Central Banks (2017)Quality-Control Handbook. (1952)Delivering quality service: balancing customer perceptions and expectations (1990)Beyond Accuracy: What Data Quality Means to Data Consumers (1996)Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications (2014)Dilemmas in a general theory of planning (1973)The black swan: the impact of the highly improbable (2007)Critical analysis of Big Data challenges and analytical methods (2016)Promoting novelty, rigor, and style in energy social science: Towards codes of practice for appropriate methods and research design (2018)The Logic of Comparative Social Inquiry. (1971)Ethnicity, Insurgency, and Civil War (2003)Greed and grievance in civil war (2004)Political Marginalization, Climate Change, and Conflict in African Sahel States (2010)Seven deadly sins of contemporary quantitative political analysis (2013)'Beating the news' with EMBERS (2014)Predicting the Present with Google Trends (2012)Why Are There Still So Many Jobs? The History and Future of Workplace Automation (2015)Human Decisions and Machine Predictions (2017)American Economic Review (2019)Forecasting: theory and practice (2022)Big data: The next frontier for innovation, competition, and productivity (2011)Challenges of Big Data analysis (2014)Machine learning on big data: Opportunities and challenges (2017)Setting the future of digital and social media marketing research: Perspectives and research propositions (2020)The Digital Universe in 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East (2012)Big data: Issues, challenges, tools and Good practices (2013)An Overview of Data Quality Frameworks (2019)Leveraging internet of things and big data analytics initiatives in European and American firms: Is data quality a way to extract business value? (2019)Effects of COVID-19 in E-learning on higher education institution students: the group comparison between male and female (2020)Understanding Customer Experience Throughout the Customer Journey (2016)Digital transformation: A multidisciplinary reflection and research agenda (2019)
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References

  • 2012Business Intelligence and Analytics: From Big Data to Big Impact6,241 cited
  • 2014Beyond the hype: Big data concepts, methods, and analytics4,409 cited
  • 2014Big Data: New Tricks for Econometrics1,608 cited
  • 1996Anchoring data quality dimensions in ontological foundations1,484 cited
  • 2015The Challenges of Data Quality and Data Quality Assessment in the Big Data Era1,044 cited
  • 2013Big Data: Issues and Challenges Moving Forward961 cited
  • 2002Information quality benchmarks736 cited
  • 2009The pathologies of big data681 cited
  • 2010Crisis Early Warning and Decision Support: Contemporary Approaches and Thoughts on Future Research268 cited
  • 2015Big Data and central banks54 cited
  • 2016The Big Data Analytics Gold Rush: A Research Framework for Coordination and Governance52 cited
  • 2015BIG DATA: NEW SCIENCE, NEW CHALLENGES, NEW DIALOGICAL OPPORTUNITIES24 cited
  • 2008A Semiotics Framework for Analyzing Data Provenance Research17 cited

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  • 2021The Impact of Big Data on Banking Operations8 cited

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