Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: 7 Ways Big Data Is Changing Manufacturing
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > 7 Ways Big Data Is Changing Manufacturing
Big Data

7 Ways Big Data Is Changing Manufacturing

Larry Alton
Larry Alton
5 Min Read
big data analytics
Shutterstock Licened Photo - 721342120
SHARE

Though manufacturing is a somewhat bygone industry, it might surprise you to learn how much it has benefited from the use of big data. Manufacturing is evolving, thanks to its access to new analytical tools and better ways to gather information.

How Big Data Is Changing Manufacturing

Below are just a few of the ways big data is reshaping manufacturing in the U.S.:

  1. Higher accuracy. Successful fabrication depends on sharp accuracy for manufacturers to continue to be competitive. Before big data came along, the best ways to improve were to invest in better equipment such as MIG welders, or invest in better employee training. With big data, though, manufacturers can use computer programs to refine the process, and analyze errors more skillfully so they can be prevented.
  2. Higher yield. Most manufacturers take in raw materials and to create finished products, which they sell for more than they paid for the intake. In this system, the higher the yield you can get (that is, the fewer raw materials you use per finished product), the more profitable your operation. New big-data applications give manufacturers greater insight into their overall yield, and opportunities to improve their operations to make more money for every batch of product.
  3. Better forecasting. Supply-chain forecasting and demand forecasting are two critical tools for manufacturers. They can determine how much you need to produce, when to slow down production for the off seasons, and how much to hold in your warehouses or ship out. Big data is helping manufacturers grasp the ebb and flow of supplier relationship management better, so they produce tactically, when it’s most worthwhile to produce.
  4. Predicting and tracking supplier performance. Manufacturers can also use big data to track supplier performance. If a supplier consistently ships inferior products that are unusable, for example, you can accurately calculate the likelihood of this, and determine whether it’s cost-effective to select a new supplier.
  5. Higher traceability. Big data also gives manufacturers more transparency and traceability. How much of your raw materials get lost during production, and at what stage of production? How much did a given batch yield, and where is it currently stored? How long will it take to ship, and once it’s on its way, where is it? Big data helps you track all these phases of production and delivery, and gives you insight into areas of possible inefficiency.
  6. Advanced custom jobs. Big data is making is it more possible to create advanced custom jobs, by taking data from past efforts and imagining new ways to manipulate raw materials. It can also aid in reverse engineering, to come up with new solutions to familiar problems.
  7. ROI and operational efficiency. Finally, big data is giving manufacturers more insight into the true efficiencies of their operations, as well as the return on investment (ROI) they accrue in upgrades, such as new equipment or new advertising strategies.

What Does This Mean for Manufacturers?

What can manufacturers do with this information? What are they currently doing to embrace and make good use of these trends?

More Read

Webtrends Engage 2011: Making Web Analytics Sexy
The Differences Between How the Government and the Private Sector Use Big Data
Mash Your Future with Augmented Reality
Predictive Analytics, Business Intelligence, and Strategy Management
3 Ways Big Data Improves Leadership Within Companies
  • Higher profitability. First, manufacturers push for higher profitability. In an area that’s traditionally been limited by factors such as raw material cost and hard limits to production, there are suddenly new avenues to cut costs and get more out of every production run. Business owners are excited to explore these opportunities and earn more revenue.
  • More competition. Next, as manufacturers adopt big-data strategies, their competitors feel increased pressure to adopt similar — and even better — approaches. The increased competition forces more and more traditional manufacturers to upgrade their internal systems, and it’s only going to grow more lively in the future.
  • Demand for new roles. Even lean-data applications can be challenging to an outsider, or anyone unfamiliar with data analysis. The new technologies are impressive, but they require someone sufficiently knowledgeable to implement and manage them. Thus, manufacturers are driven to hire new positions for their teams and migrate old ones as well.

Despite being an economic area that has undergone comparatively few technological leaps since the Industrial Revolution, manufacturing is feeling the impact of big data. In the coming years, more manufacturers will be encouraged or compelled to adopt new standards for data gathering, storage, and analysis if they want to stay in business.

TAGGED:big datamanufacturing
Share This Article
Facebook Pinterest LinkedIn
Share
ByLarry Alton
Follow:
Larry is an independent business consultant specializing in tech, social media trends, business, and entrepreneurship. Follow him on Twitter and LinkedIn.

Follow us on Facebook

Latest News

sales and data analytics
How Data Analytics Improves Lead Management and Sales Results
Analytics Big Data Exclusive
ai in marketing
How AI and Smart Platforms Improve Email Marketing
Artificial Intelligence Exclusive Marketing
AI Document Verification for Legal Firms: Importance & Top Tools
AI Document Verification for Legal Firms: Importance & Top Tools
Artificial Intelligence Exclusive
AI supply chain
AI Tools Are Strengthening Global Supply Chains
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Image
Big DataData MiningHadoopR Programming LanguageSQLUnstructured Data

Apache Drill vs. Apache Spark: What’s The Right Tool for the Job?

5 Min Read
HR professionals prepare GDPR
Big DataExclusive

Can HR Professionals Use Big Data After the GDPR?

5 Min Read

Is My Data Really Mine?

7 Min Read
big data changing capitalism
Big DataExclusivePolicy and GovernanceRisk Management

Ways Big Data is Changing Capitalism for Centuries to Come

6 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?