June 10, 2021
We explore the idea that AI may be an appropriate vehicle for insight into a problem, but that business problem itself, must be ground zero.
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.
May 2, 2018
In the January-March 2018 issue of APICS magazine, APICS CEO Abe Eshkenazi contends that if supply chain leaders bring business success then that makes them business leaders. Mr. Eshkenazi goes on to state “organizations that consider their supply chains as strategic and competitive assets outperform the market”.
December 19, 2017
I just read a blog post entitled How do you feel when someone mentions predictive analytics? Well, I feel like it’s a good thing. How about you?
July 11, 2017
Given that accounts receivable (A/R) are essentially zero interest loans extended to customers, one might be forgiven for considering credit sales a necessary evil. Maybe one day crypto-currencies like Bitcoin will replace all other forms of payment, but in the meantime many companies have a ton of cash tied up in receivables. So how evil is your A/R?
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.
June 25, 2015
In my last post, I introduced the longitudinal study that MIT Sloan Management Review has been conducting over the past five years. From 2010 to 2012 they indicated that 67% of those surveyed believed that analytics gave their organizations a competitive edge. In 2013, that figure stabilized at 66% revealing the so called 'Moneyball Effect' where leaders lost their competitive edge that they once enjoyed because followers matured and made analytics core competencies. In 2014, that trend continued, falling to 61%.
April 27, 2015
By now, most of you have probably heard of, or read, the book entitled Competing on Analytics by Thomas Davenport that demonstrates how some of the most successful organizations in the world have made analytics a core capability and integral to their strategic planning. MIT Sloan has been tracking this phenomenon since 2010 echoing Davenport's findings. From 2010 to 2012 they indicated that 67% of those surveyed believed that analytics gave their organizations a competitive edge. However, in their last installment of their longitudinal study, something interesting happened. Something that I like to call the 'Oakland Athletics Effect'.
August 22, 2014
In 2013, Gartner conducted a survey on Big Data Adoption in Supply Chain Industries and found that adoption has been flat and is lagging behind the overall adoption rate of other industries such as banking, insurance, and retail to name a few. Gartner ascertained that these characteristics pertaining to the Supply Chain industry are attributable to an inherent lack of understanding of what Big Data truly is and a fundamental lack of the required skill sets. This, in essence, is the challenge facing the Supply Chain industry.
May 7, 2014
Big data and big data analytics pose a series of implications and challenges. Organizations that seek to become analytical competitors must have an established analytics culture consisting of well trained employees who are using the right enabling technologies. However, these organizations face challenges maintaining consumer privacy while they collect and use sensitive information.
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