Gartner Research

Technical Guidance on Sensor Data Management

Published: 18 April 2014

ID: G00262778

Analyst(s): Mei Selvage

Summary

The Internet of Things (IoT) generates a massive amount of sensor data. Sensor data management is challenging, but its rewards can be game-changing. This technical guidance helps you successfully model, collect, process, consume, manage and store sensor data.

Table Of Contents

Problem Statement

The Gartner Approach

The Guidance Framework

  • Learn and Prepare
    • Advanced Analytics Required at the Convergence of OT and IT
    • Sensor Data Characteristics: High Volume, Variety and Velocity
  • Model and Collect
    • Key Considerations for Sensor Data Modeling
    • Sensor Data Can Happen Anywhere
  • Process and Consume
    • Process and Save vs. Save and Process
    • Use Eight Dimensions of an Analytical Initiative to Clarify Requirements
  • Manage and Store
    • IT's Critical Role in Managing Sensor Data
    • Start a Strategic Logical Data Warehouse Initiative
    • Pick the Right Technology to Manage and Store Sensor Data

Risks and Pitfalls

  • Related Guidance

Gartner Recommended Reading

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