Big Data in Manufacturing: BDA and IoT Can Optimize Production Lines and the Bottom Line—but Much of the Industry Isn’t There Yet

Big Data in Manufacturing: BDA and IoT Can Optimize Production Lines and the Bottom Line—but Much of the Industry Isn’t There Yet

RELEASE DATE
28-Dec-2016
REGION
North America
Deliverable Type
Strategic Forecasting
Research Code: 9A37-00-30-00-00
SKU: IT03175-NA-SF_19255
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IT03175-NA-SF_19255

$3,500.00

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Description

Even if predictive maintenance were to become widespread in the manufacturing vertical, it would impact only one area of a manufacturer’s operations. BDA has the potential to leverage data collected through IoT—and almost 40 other areas—to do much more for manufacturing companies, in almost every corner of the enterprise. This report analyzes what manufacturers are doing with BDA and IoT; identifies areas where they should be doing more; and assesses the financial impacts.

Table of Contents

Executive Summary

Introduction

Prerequisites to Predictive Maintenance: BDA and IoT

The Tip of the Spear: Optimizing Production

Optimizing the Manufacturing Enterprise

Case Study Briefs: Real-world Benefits

What Is Slowing Adoption?

What Manufacturers Should Do Now

Stratecast - The Last Word

APPENDIX: Featured Providers

About Stratecast

About Frost & Sullivan

Even if predictive maintenance were to become widespread in the manufacturing vertical, it would impact only one area of a manufacturer’s operations. BDA has the potential to leverage data collected through IoT—and almost 40 other areas—to do much more for manufacturing companies, in almost every corner of the enterprise. This report analyzes what manufacturers are doing with BDA and IoT; identifies areas where they should be doing more; and assesses the financial impacts.
More Information
Deliverable Type Strategic Forecasting
No Index No
Podcast No
Author Jeff Cotrupe
Industries Information Technology
WIP Number 9A37-00-30-00-00
Is Prebook No