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Cited by 9Big Data and Business IntelligenceDigital Transformation in IndustryInternet of Things and AI

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Benefit From the Internet of Things Right Now by Accessing Dark Data

Gimpel, Gregory, Alter, Allan·2021·IT Professional
DOI 10.1109/mitp.2020.3025483
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Abstract

Even as companies become aware of the powerful benefits Internet-of-Things (IoT) data can bring to their organization, the investment costs of deploying new sensors in the field keep IoT initiatives as distant goals for many firms. At the same time, firms are swimming in substantial amounts of “dark data” that are created by operational technology, transactional systems, and other “things” already deployed by the company. An estimated 90% of this data is currently dark, because most of these “things” were not designed to record data in ways that facilitate aggregation with information from other sources. Using relatively low-cost strategies, companies can begin accessing and exploiting this data gold mine today.

Overview

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Crossref · 10.1109/mitp.2020.3025483

Cites

9 of 9 references verified0 citation errors · 0 not checkable

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Citations

Cites

Research works printed but not linked: 2

  1. charmaz, 2005, Grounded theory in the 21st century, Strategies of Qualitative Inquiry, 203
  2. gimpel, 2019, Enter the Industry 4.0 era today by using “dark data” you already have, E-Business Review, 17

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Metadata

Authors
Gimpel, G., & Alter, A.
Affiliations
  • Georgia State University (US)
  • Massachusetts Institute of Technology (US)
ORCID
Gimpel, Gregory
Venue
IT Professional
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2021-03-01
Volume
23
Issue
2
Pages
45-49
ISSN
  • 1520-9202 (ISSN-L)
  • 1941-045X
DOI
10.1109/mitp.2020.3025483
OpenAlex
W3146268899
Cited by
9
References
9
Citations by year
2025: 1 · 2024: 2 · 2023: 2 · 2022: 4
FWCI
1.98
Type
journal article
Language
en
Open access
closed
Licence
Locations
IT Professional (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
Keywords
Internet of Things, dark data, operational technology, transaction systems, data aggregation, data utilization

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