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Driving Efficiency: Why Impatience is Good

Submitted by Sheila Kester, Vice President of Operations at TwinThread

When you break it down, the only way to improve performance in anything is to digest and meaningfully interpret opportunities for learning. For future-thinking, innovative organizations, this is nothing new. However, many organizations, in their attempt to improve fleet energy efficiency, run into an all too common challenge – major delays in gaining access to insights.

Why does this delay occur? The majority of the time, the slowdown in access to vital information is caused by a data-curation methodology that doesn’t allow operators and problem-solvers to interpret information in real-time, during operation. This forces them into a routine of learning after the fact, which goes without saying is inefficient and costly.

With this old approach, how can innovative and proactive thinkers make positive change? Frankly, while some positive change will be made, it will be painstakingly slow – and, those problem-solvers will be forced to be much more reactive than proactive.

Fortunately, there is no longer the need to wait for learnings and insights to be fleshed out over a lengthy period of time. TwinThread’s Predictive Energy Efficiency Application, and its parent suite of Predictive Applications, allows customers to tap into their fleet’s data in the now. No more waiting through long data gathering cycles. Problem-solvers and engineers can see the data immediately and garner insights into how processes could be optimized to consume less energy and save a whole lot more money.

We encourage organizations to be impatient for pushing improvement. It’s not natural or convenient to defer learning to a later date. TwinThread’s Predictive Operations Platform allows your problem-solvers to have the best information so they can make the most informed decisions – allowing your organization to push beyond its goals into new territories of performance and optimization.

Is your organization currently dealing with lengthy learning cycles and an inability to interpret data on the fly? Stop allowing this to stifle your innovative drive and get started with TwinThread now.