Imagine you are the race director for a Formula One car. Decisions must be made within seconds, sometimes in the blink of an eye. When speed is of utmost importance, it is necessary for race engineers to have all relevant race data at their fingertips. Instead of having a couple of
I’m sitting here staring at a book on my shelf entitled, “Impending Crisis”. Even knowing the copyright date, 2003, it could still be about any one of several possible crises: healthcare, financial, energy, education, environment. But no, in this case the impending crisis in question is provided by the subtitle: “Too many jobs,
What is your primary goal as a supply chain professional? It’s not about demand sensing, demand shaping or even supply planning and demand planning. At the end of the day, it’s about profit optimization. Albeit important, demand sensing and shaping are only a piece of the equation and if isolated, decisions
While managing quality within the four walls of your own operation is all well and good and totally necessary, both the market and your bottom line are demanding a more holistic, quality lifecycle approach, and in support of that aim there is a treasure trove of downstream data waiting to be
Having spent a good part of my career “owning” the data hub in IT for analytics solutions, I think I can say, the myth that IT controls all things data has become less and less true through the years – and eventually it will be completely false. Or maybe it
How much of your business performance (profit) is driven by external factors versus internal? A figure of 85% compared to 15% was mentioned at last month’s Manufacturing Analytics Summit, and although I could not find the study mentioned to confirm, it feels about right to me. Certainly more than half,
For supply chain managers and analysts Getting Demand in Shape can mean collecting the most pertinent data to support specific business processes and activities. Identifying new or previously unused data sources can be especially important. My most recent article titled “Getting Demand in Shape” in the May / June issue of APICS magazine
Insights from decision trees and other basic analytic techniques show that you don’t always need complex analytics to solve business problems and add value. This was the message from Dr. James (Jim) Foster, Director of Research and Process Development, Archer Daniels Midland (ADM), at last month’s inaugural IE Group ‘Manufacturing Analytics
I led an analytical culture track at the SAS Global Forum Executive Conference last month in Washington, DC. I talked with leaders in fields as diverse as healthcare, chemical manufacturing and government. Although these organizations have very different operating models, their challenges, comments and questions were similar. They all recognized
Analytics gives us not just the ability but the imperative to separate our planning activities into two distinct segments – detailed planning that leads to budgets in support of execution, and high-level, analytic-enabled business/scenario planning. My critique of Control Towers in this blog last time led me not only to
After decades of trying to "manage" and "control" quality, manufacturers continue to struggle with consistently achieving quality excellence. To conquer the realities of today's marketplace and achieve quality excellence, manufacturers need to adopt an analytic approach to quality. The basic objective of manufacturers hasn't changed since the beginning - produce
With the increasing emphasis on responsiveness, resiliency, flexibility and agility, I suppose it was only a matter of time before the “agile” concept caught up with strategy itself. While I may have hinted at this idea four years ago in two of my earliest posts for the Value Alley, “Strategy
It is always important to continue to sell the value of analytics within your organization, especially to your leaders. Usually, these type of results are delivered via reports, dashboards, or emails. However did you know that analytics: Detects when expensive machinery like electrical submersible pumps (ESP) or oil platforms need maintenance before
From Gartner to IDC to the trade press, the watchwords in the supply chain for rest of this decade appear to be “resiliency” and “responsiveness”. It’s not going to be about promotion-based pull-through, and it’s most definitely not going to be about channel incentive-based push-through. What it’s going to be
Bridging the Rift between Dev and Ops As a member of the Product Marketing team at SAS, I spend a good part of my time researching – analyst reports, industry journals, blogs, social channels – and listening to what our customers are saying. Early last spring I began noticing the term
Since mead is becoming popular in movies (such as Thor and The Hobbit), and even as an emerging industry in real life ... what better example to use for some SAS graphs! And who knows - this might even turn you into a mead drinker! But first, to get you in the
“The factory of the future will have only two employees, a man and a dog. The man will be there to feed the dog. The dog will be there to keep the man from touching the equipment.” ~ Warren G. Bennis The promise of digital manufacturing is drawing closer to
From what I've seen, the energy industries appear to be at a tipping point in their interest and adoption of advanced analytics. If there's any question about how analytics can be used to benefit these industries, consider a few examples:. How much demand for electricity will there be and when?
The National Academy of Engineering identified fourteen "Grand Challenges for Engineering" that must be addressed in order to achieve a sustainable, economically robust, and politically stable future. (see the full list here) The challenges are a call-to-action for solutions to some of the most pressing issues in the 21st century:
Once I was chairing a conference where the speaker was explaining the business model for the licensing of the Peanuts cartoon characters - Charlie Brown, Snoopy and the gang - and how all that works when it comes to the balloons for the Macy’s Thanksgiving Day Parade (in case you are wondering,
In Amsterdam, harnessing the power of the (data) tide With more than 100 km of canals and 1,500 bridges, dikes and dams, Amsterdam has long been in tune with the tides. Today, as an economic tide tugs at Europe and many regions, organizations are coping with a flood of data
A question was recently put to me by everyone’s favorite futurist – Thornton May: “Most people don't put innovation and infrastructure in the same sentence. They simply tend to view savings derived from optimized infrastructure as a funding source for “other” innovation investments. My thoughts?” My thoughts initially circled in
I have been privileged to have had the opportunity to contribute to the recently published, “Positioned – Strategic Workforce Planning that gets the Right Person in the Right Job”, co-edited by Rob Tripp, Workforce Planning Manager at Ford Motor Company. The list of contributors is a Who’s Who of strategic
Wouldn’t it be great if we could predict the future? As a kid, I liked to write sci-fi stories. I wrote stories about what the year 2000 would be like: flying cars, robots, and talking dogs. OK, I won’t admit what year I was actually writing these stories, but back
What were we blogging about last year at this time? Some of our bloggers were attending a leadership conference in Singapore and others were attending an analytics conference at Disney. It may surprise you to know we were already talking about high-performance analytics. In fact, we were talking about high-performance
Last year I was given an iPad. At the time I was rather ho-hum about my new toy, but my fourteen-year-old daughter was ecstatic about it. I now know why. Today, I am writing this blog post from my iPad and I am lost when I leave it at home.
Today, more companies are offering more products in more markets in more currencies to more customer segments than ever before. The result? An exponential explosion in data covering virtually every aspect of the organization: sales, marketing, finance, manufacturing, legal, HR, and more. Unquestionably, the era of “big data” has arrived.
In my role at SAS I have the great fortune to meet with business intelligence and analytic (BI&A) teams all across the United States to share and discuss best practices and pain points, particularly around the ability to execute and operationalize insight internally and externally throughout the organization. In these
It's true. "Big data" can be a problem and an opportunity. Many organizations have struggled to manage, much less profit from, the deluge. In 2012, look for big data to spur demand for big data analytics. New developments in high-performance computing as well as increased demand for visualization and text
I was privileged to attend the National Association of Manufacturers (NAM) Board of Directors meeting in Washington D.C. recently. Attended by some 300 senior executives of American Manufacturing companies, it was like a who’s-who in brand names anyone would recognize. NAM is a very big influencer of public policy on
