September 21, 2021
What truly makes an advanced order management system and why would a retailer need one?
May 14, 2019
I am now entering the final phase of this blog series, in which I am delving into the analytics of…
April 23, 2019
After having painstakingly gone through all the legal, procedural, and data engineering pain points that I described earlier, I now…
April 2, 2019
In part 1 of this four-part blog series, I invited you, the reader, to join me on a data-driven journey:…
October 31, 2018
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.
October 27, 2015
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.
February 23, 2014
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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