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Data Doesn't Lie

Author: Victoria Sockwell

Data Doesnt LieOne of the strangest things about writers is that we all have a favorite word or a list of words that just move usto sigh with literary bliss. One of my favorite words was used more than four times within this week’s episode of MakingChips. Folks, the word of the week is “pivot.”

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In this week’s episode, Jim shares his story with Jason and Nick about how CARR was able to move from prototypes to production. The conversation around production research cannot be accomplished without data collection. While we pivot into the next manufacturing era, collecting data is even more imperative as we figure out what is and is not working within our companies.


Modern manufacturing processes produce an enormous amount of data that can provide valuable insights to aid organizations in making smarter business decisions. If collected and adequately utilized, this can lead to a significant competitive advantage. Unfortunately, it can be quite challenging to manage and capture all of the relevant data you have available to become useful. Here at MakingChips, as client-focused marketing professionals, we are big fans in proper data collecting in helping manufacturing leaders grow their business.


What is Data Collecting Exactly

Dating collecting is the process of gathering and measuring information on targeted variables in an established framework, which enables one to answer relevant questions and evaluate outcomes. Data collecting can help monitor and manage cost, which ensures a smooth operation.


Features of Data Collecting Systems

  • Real-time visibility into production
  • Advanced dashboards
  • Detailed reporting
  • Device history records
  • Overall equipment effectiveness (OEE) calculation
  • Key performance indicators (KPIs) calculation
  • Statistical Process Control (SPC) management
  • Alarm and notification configuration
  • Integration with automation and controls (PLCs, scales, I/O devices, etc.)
  • Integration with other production (MES, PLM) and business-level (ERP) systems


Benefits of Data Collection

As I mentioned before, gathering information can help measure where your money and time are being used. Here are some benefits I have collected within my research:

  • Reduce waste
  • Improve throughput
  • Allow informed decision-making
  • Increase response times to issues
  • Improve benchmarking
  • Optimize and improve processes
  • Reduce faulty/incorrect data submission
  • Eliminate paper-based audit trails and manual data submission



Challenges of Effective Data Collection

We have discussed some of the benefits of data collecting, but what about some drawbacks and challenges?

  • Transitioning from time-triggered to event-triggered control systems
  • Integrating new technologies within established frameworks
  • Combatting industrial data security challenges
  • Interpreting data accurately
  • Overseeing data storage issues



Pivoting to effective data collection is essential to cut the fat from our processes. At the core, this is a reality check to your vulnerable spots, your weakest areas. As leaders, we should encourage ourselves and our team to tackle these areas head-on for growth. Data does not lie and it advocates for transparency, not only for your company but also for your customers.


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