#146 – BASELINING SUSTAINABILITY PERFORMANCE WITH ESG, SCIENCE, & TECHNOLOGY – KELLY EISENHARDT

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Kelly EisenhardtBy leveraging their comprehensive ESG database, Thomson Reuters helps companies’ baseline sustainability performance and stay ahead of emerging global sustainability trends. TR recently released their latest Greenhouse Gas Emissions report highlighting “sustainable growth,” in addition to reducing GHG emissions and alignment with the U.N. Guidelines. Continue reading

#146 – HOW SAMPLE SIZE AFFECTS DECISION MAKING – FRED SCHENKELBERG

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ABC FredSample Size Determination

When planning for quality or reliability testing, an often posed question is: How many samples do you need? The trite answer is: Just as many samples as you need and not one more. A better answer is: Enough samples to make the right decision. The realistic expectation is : You will not have enough samples. Continue reading

#146 – RISK AHEAD OR RISK BEHIND – ERIC SCHULZE

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A EricOnly after the ship has sunk does everyone know how it might have been saved. Healthcare is changing at an incredible pace. Identifying what is relevant and prioritizing the changes that will impact a hospital is an enormous challenge for a hospital’s leadership. Unfortunately, many hospitals, especially rural hospitals, are not able to mitigate the problems successfully. Continue reading

#145 – ALTERED STATES: RISK PERCEPTION AFTER THE EVENT – GEARY SIKICH

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Untitled1-150x150Heightened Awareness or Reactive, Backwards Looking?

From financial crises to energy catastrophes to earthquakes and threats of terrorism, we hear a lot about events that challenge our ability to identify and manage risk. Unfortunately some of the things that emerge from many of these events are reactive regulatory rules and requirements. Continue reading

#145 – GATHERING DATA WITH NEVADA CHARTS – FRED SCHENKELBERG

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ABC FredGathering Field Failure Data

A common and rather poor technique to gather field data is to count the number of returns by week or month. This can provide a graph showing the number of returns over time. However, it hides useful information you need to understand your field failures.

Let’s take a look at a way to gather the same field failure data and retain the critical information necessary for time-to-failure analysis. Continue reading