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Analytics, Business Intelligence, Healthcare, Posts

Perioperative Analytics: Exploratory Data Analysis in the OR (Part 4 of 4)

I am now entering the final phase of this blog series, in which I am delving into the analytics of knee replacements at one hospital. You can access the first three posts in this series here: part 1, part 2, part 3. The Seven Bridges of Königsberg to the Rescue Leonard Euler’s 1736 paper on…

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Analytics, Business Intelligence, Healthcare, Posts

Perioperative Analytics: Exploratory Data Analysis in the OR (Part 3 of 4)

After having painstakingly gone through all the legal, procedural, and data engineering pain points that I described earlier, I now have in my possession a data set from a hospital system that I can eagerly sink my exploratory analytics teeth into. The data, which is now ingested, formatted, prepared, cleansed, combined, scaled, and loaded in…

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Analytics, Business Intelligence, Healthcare, Posts

Perioperative Analytics: Exploratory Data Analysis in the OR (Part 2 of 4)

In part 1 of this four-part blog series, I invited you, the reader, to join me on a data-driven journey: Exploratory Analysis and Discovery in the OR. The goal was to discover whether there were any business process insights that may be leveraged from the hospital supply chain at the point of use. I also…

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Analytics, Business Intelligence, Healthcare, Posts

Perioperative Analytics: Exploratory Data Analysis in the OR (Part 1 of 4)

The vast swathes of data being collected in modern health systems suggest that perioperative analytics (or OR analytics) are at the ready. The truth is that extracting meaningful information from all those data points takes some coordination and a little exploration. Let's take a look at the exploratory data analysis that underscores analytics, and the different 'flavors' of perioperative analytics, from descriptive and diagnostic to predictive and prescriptive.

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Analytics, Business Intelligence, Posts, Supply Chain, Warehouse Management

Get Down to Brass Tacks

A lot of focus has been placed on advanced and predictive analytics, and rightfully so. I have written many posts and have spoken publically on the merits of advanced analytics for several years now. What I find disorienting and misleading are marketers harping on how important it is to adopt advanced analytics right now. The thing that they just don't get (or maybe they don't want to get?) is that an organization will need to transcend a series of analytical maturity levels before they can truly capitalize on the benefits of advanced and predictive analytics.

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Analytics, Business Intelligence, Posts, Supply Chain, Warehouse Management

Big Data Analytics

Big data is all around us.  As we have seen, big data is characterized by its volume, velocity, and variety (the infamous three 'V's).  Great, you have a lot of data...now what?  Well, these untapped 'dark data assets' give rise to vast opportunities for those organizations that seek new ways to compete.  Studies have shown that organizations that compete on analytics by focusing on their core competencies fare much better than those who do not.  Some have gone so far as to call big data the ‘new oil’.  In part two of this four part series, we will take a closer look at big data analytics.

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