Drowning in Data: Understanding and Improving Data Management for the IoT

December 22, 2017 | Research Report

Data is at the heart of the internet of things (IoT) – whether being generated, transmitted, or analyzed – to enable businesses to operate more effectively. A data-centric approach is critical to IoT stack optimization, which ensures that the most critical business needs are addressed up front, in a resource-efficient manner. This report examines the seven most important areas of IoT data management – data creation, data security, data transmission, data cleanliness, data analytics, data storage, and data sharing – to identify the key problems and innovations in each area, and identify which area to prioritize.


  • Chemicals
  • CPG
  • Government & Non-Profit
  • Industrials
  • Oil and Gas
  • Utilities

Table of Contents

  • Title page

Lead Analyst

Mike Rolfes


Jonathan Melnick, Ph.D.
Venkatesh Konanur
Katrina Westerhof

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