Gartner Research

Data Risks in the Internet of Things Demand Extensive Information Governance

Published: 30 June 2016

ID: G00273608

Analyst(s): Ted Friedman , Saul Judah

Summary

As organizations struggle with the basics of governing traditional information types, challenges many times greater are looming in the Internet of Things. Data and analytics leaders must extend information governance practices to address several key differences in IoT data.

Table Of Contents
  • Impacts

Analysis

Impacts and Recommendations

  • Data in IoT solutions is often highly confidential and sensitive, requiring data and analytics leaders to ensure that privacy and security expectations are met and legal mandates are not violated
  • The scale and pace of data generated by "things" introduces integrity challenges and obviates traditional approaches that data and analytics leaders have used for data quality assurance
  • The highly distributed nature of IoT architectures challenges expectations on data availability, requiring data and analytics leaders to accept that purely centralized approaches to governance controls will become less viable

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