Big data quality - Whose problem is it?

Shazia Sadiq; Paolo Papotti

doi:10.1109/ICDE.2016.7498367

Big data quality - Whose problem is it?

Shazia Sadiq, Paolo Papotti

Computing and Augmented Intelligence, School of (IAFSE-SCAI)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Scopus citations

Abstract

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 language	English (US)
Title of host publication	2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1446-1447
Number of pages	2
ISBN (Electronic)	9781509020195
DOIs	https://doi.org/10.1109/ICDE.2016.7498367
State	Published - Jun 22 2016
Event	32nd IEEE International Conference on Data Engineering, ICDE 2016 - Helsinki, Finland Duration: May 16 2016 → May 20 2016

Publication series

Name	2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016

Other

Other	32nd IEEE International Conference on Data Engineering, ICDE 2016
Country/Territory	Finland
City	Helsinki
Period	5/16/16 → 5/20/16

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

Access to Document

10.1109/ICDE.2016.7498367

Cite this

Big data quality - Whose problem is it? / Sadiq, Shazia; Papotti, Paolo.
2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1446-1447 7498367 (2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sadiq, S & Papotti, P 2016, Big data quality - Whose problem is it? in 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016., 7498367, 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016, Institute of Electrical and Electronics Engineers Inc., pp. 1446-1447, 32nd IEEE International Conference on Data Engineering, ICDE 2016, Helsinki, Finland, 5/16/16. https://doi.org/10.1109/ICDE.2016.7498367

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title = "Big data quality - Whose problem is it?",

abstract = "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'.",

author = "Shazia Sadiq and Paolo Papotti",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 32nd IEEE International Conference on Data Engineering, ICDE 2016 ; Conference date: 16-05-2016 Through 20-05-2016",

year = "2016",

month = jun,

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doi = "10.1109/ICDE.2016.7498367",

language = "English (US)",

series = "2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016",