Software Toolbox Technical Blog

In this video blog post, Jeff Knepper from Flow Software and I engage in a discussion about the issues that users and integrators often face. Drawing from our experience, we dive into the challenges we've noticed in assisting manufacturers to reconsider and redesign their strategies in building robust data infrastructures, essential for scaling their analytic solutions. Join us as we explore these topics and more in this 46-minute video blog post.

With industrial processes, it's only possible to manage what is being effectively measured.  Without keeping tabs on key metrics in a process, you'll never be able to determine if the efficiency of the process is getting better or worse.

In this short blog post, we'll discuss the progression from raw process data to information to the actions that can be taken and decisions that can be made using that information.  We'll also discuss how the context (or how you're looking at data) can affect the information you're consuming.

To manage a process well, it's about more than just producing.  It's necessary to measure how efficiently that process is producing.  A process increases in profitability as it runs more efficiently (producing the same amount using the least amount of resources).

In this short blog post, we'll discuss some of the metrics or key performance indicators (KPIs) that should be available for a particular process and how measuring those KPIs can increase the profitability of your operations.  And we'll discuss how you probably already have the raw data sitting there and how you can turn that raw data into actionable information.

It is well known and accepted that, to manage a process, we need to measure the results of that process.  If we start measuring the production output of a machine, the people responsible for running and maintaining that machine are more likely to pay attention and take the necessary decisions to improve its performance.

Every business with any focus on continuous improvement has some system that works for them and has evolved as they have traveled their journey. Some use paper, some use paper and spreadsheets, others use custom solutions, and others use some form of off-the-shelf software.

For over 20 years we’ve helped users get the digital data they have into these various systems, but in the process of doing that, we’ve heard some things from them and seen some patterns we will share in this blog post.