Towards Re-Orienting the Big Data Rhetoric

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dc.contributor.authorVerma, Nitya
dc.date.accessioned2023-03-17T22:48:58Z
dc.date.available2023-03-17T22:48:58Z
dc.date.issued2016
dc.description.abstractData analytics and BI (business intelligence) systems are the most prominent user-facing manifestation of 'big data' and the related computational turn in thinking within organizations. However, the big data mythologies-specifically that data can offer more accurate, objective and truthful forms of intelligence and knowledge-impact, reinforce, and reproduce certain epistemological biases. In my research, I study these big data technologies in human services related contexts to examine knowledge claims and the strengths and limitations of big data.en
dc.identifier.doi10.1145/2957276.2997027
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/4597
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofProceedings of the 2016 ACM International Conference on Supporting Group Work
dc.subjectbusiness intelligence
dc.subjectdata analytics
dc.subjectbig data
dc.titleTowards Re-Orienting the Big Data Rhetoricen
dc.typeText/Conference Paper
gi.citation.startPage505–508
gi.conference.locationSanibel Island, Florida, USA

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