Big data quality - Whose problem is it?

Shazia Sadiq, Paolo Papotti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations


The increased reliance on data driven enterprise has seen an unprecedented investment in big data initiatives. Organizations averaged US$8M in investments in big data-related initiatives and programs in 2014, with 70% of large enterprises and 56% of small and medium enterprises (SMEs) having already deployed, or planning to deploy, big-data projects [1]. As companies intensify their efforts to get value from big data, the growth in the amount of data being managed continues at an exponential rate, leaving organizations with a massive footprint of unexplored, unfamiliar datasets. On February 8th, 2015, a group of global thought leaders from the database research community outlined the grand challenges in getting value from big data [2]. The key message was the need to develop the capacity to 'understand how the quality of data affects the quality of the insight we derive from it'.

Original languageEnglish (US)
Title of host publication2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages2
ISBN (Electronic)9781509020195
StatePublished - Jun 22 2016
Event32nd IEEE International Conference on Data Engineering, ICDE 2016 - Helsinki, Finland
Duration: May 16 2016May 20 2016


Other32nd IEEE International Conference on Data Engineering, ICDE 2016

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management


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