Analytics, Business Intelligence, Healthcare
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.
Analytics, Business Intelligence, Demand Planning and Forecasting, Healthcare, Supply Chain
Shared Metrics Drive Business Success
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”.
Analytics, Business Intelligence, Demand Planning and Forecasting, Supply Chain
How Do You Feel About Predictive Analytics?
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?
Analytics, Business Intelligence, Supply Chain
Evil A/R Threatens Cash Flow – Time to Fight Back
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?
Analytics, Business Intelligence, 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.
Analytics, Business Intelligence, Healthcare, Supply Chain, Warehouse Management
Competing on Data Talent
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%.