In my previous post, I discussed some of the challenges and costs organizations face when they’re stuck in Excel hell with no real data strategy. Now that we’ve discussed the problem, let’s dive into the solution. Every organization needs a data strategy with these building blocks: Your top priority is
By now, you’ve probably seen a video of a 3D printer discharging layers of plastic to create a model of a building or a plastic figurine. You may have heard stories about 3D printed guns, 3D printed airplane parts and even 3D printed body parts. While 3D printers are becoming more common, they are
“Our job at the lab is to find technology that’s new, cutting edge and cool – and to give it to someone else to be brilliant with.” – Matthew Horn, Manager, SAS Emerging Technologies UI Lab If you’ve heard of Google Glasses or Occulus Rift, you’ve heard of augmented reality.
Today, we celebrate Manufacturing Day 2015. Manufacturing may not be the world's oldest profession, but it is likely the world's oldest industry. The very earliest characteristics that separated us from other animals is the manufacture of tools. Other animals use sticks and rocks and other collected items to help them
Will the Internet of Things (IoT) create a web of connected devices that make our lives better or an infinite infestation of annoying devices invading our privacy for no good reason? I don't know. I do know that the answer is going to depend less on the technology and more
While discussing ways and means to improve Sales and Operations Planning (S&OP) and forecasting, many a time business executives ask “What can we do with social media?" This was definitely NOT a usual topic in S&OP forum just a few years back! Most of the time, I push back the
It’s been very hot here in Northern Italy: electricity provision has struggled to keep up and we’ve had frequent power outages in the area, even within our apartment building. A bit inconvenient? Don’t get me started. I feel like my home appliances have turned against me, taking me back to
SAS recently held the Detroit Automotive Analytics Executive Forum to bring together leaders from the Industry. We heard from an experienced group of leaders on the future of the automotive industry, best practices for analytics success, innovative retail analytics, customer experience analytics, the connected vehicle, and competing on analytics. Following
The amount of data being produced and captured from the plant floor today is staggering. When you add it all up, a factory can easily generate over 34 Terabytes of data per day, or nearly 9 Petabytes a year - that's 9 Million Gigabytes! Yet, with all of those systems, and all
Congratulations! You are part of a prestigious and exclusive club! A club of innovators and forward thinkers. A club of manufacturing professionals dedicated to data and the power of analytically driven decisions to make your organization the best that it can be - you are a SAS user. The best
If you buying or selling a house. The relator will tell the value of the property is all about location, location, location. For insurance companies location is just as important. For an underwriter assessing the risk on a property is essential that they consider the location of the property. How
Recently, I had an opportunity to participate in an analyst briefing around the Internet of Things (IoT). During the review, a chart was shown to summarize the status of IoT projects in the manufacturing sector. I wasn’t surprised by the varying degree of “completeness” of IoT projects across this industry, but
By now, we have all heard about the Internet of Things (IoT), or the Industrial Internet. Across industries, organizations are attempting to instrument and measure all critical business systems and assets in an effort to drive improved production and service delivery. It is estimated that by 2020, companies will spend
any factors go into your strategic global business decisions, from the physical placement of factories and distribution centers, to your choice of suppliers and partners, to your target markets and the business model itself. Businesses have a choice of fundamental global go-to-market investment strategies, from direct foreign investment on the one
As the age old idiom goes, the early bird gets the worm and the early adopter gets the break. New technologies give clear advantages to those organisations that figure out before their early-adopting competitors how to use them effectively, an advantage that recedes as others catch up, and the technology
I'm not just talking about all the energy put in planning, scheduling, and supporting this great event, which is in Dallas, TX next week, April 26-29. I'm talking about all the presentations about using analytics in energy related industries, particularly in Utilities and in Oil and Gas. There is a
When I visit with customers or potential clients, they often ask, "Where should I start in order to get a handle on my supply chain?" There is no clear and concise answer, but I usually say "Follow the inventory!" Inventory is a result of decisions made, not the cause. When you
Profitable growth is at the forefront of manufacturing executives’ minds¹. The math is simple: increase revenue and decrease costs. Easy, right? Unfortunately, getting there isn't that simple. The good news is that analytics can help. The better news is that there’s a new place for manufacturers to discover analytic best
Do you hear voices? I sure hope so. I’m not talking about the ones associated with psychiatric disorders or medical conditions, but the voices of quality. To compare the two for a just a moment, the medical description from HealthGrades explains that auditory hallucinations can be pleasant or threatening and
With all the enhancements in demand management over the past decade, companies are still faced with challenges impeding the advancement of demand-driven planning. Many organizations are struggling with how to analyze and make practical use of the mass of data being collected and stored. Others are perplexed as how to
This is a follow up to last week’s blog on understanding your customers’ perceptions of quality. As the world’s largest manufacturer of PCs and tablets, Lenovo is always looking for areas to reduce costs while increasing quality and customer satisfaction. Six months ago, Lenovo implemented the Lenovo Early Detection (LED) system
I was recently asked by a customer if they should move the responsibility for creating the statistical baseline forecast. They were considering moving it from their regional country offices to their global headquarters. In addtion, they were considering changing the role of their regional demand planners to only make adjustments to
People are talking about your products. But more importantly, they’re listening. Facebook, Twitter, review sites, and product forums are just a few of the sources that a savvy customer checks when making a buying decision. This reality has fundamentally changed the definition of quality. It’s no longer sufficient to conform
Well okay maybe you can't hear us, but at least you can read what we have to say. Although, I'm not ruling out an occasional video or podcast entry. One of the best kept secrets at SAS is the incredible domain expertise that comes to work here everyday, ready to
Increasingly, automotive executives want to talk about the "Art of the Possible" in analytics. So we took the opportunity to invite leaders around the industry to an Automotive Analytics Executive Roundtable to share their stories and spark new ideas. A myriad of diverse speakers covered a variety of topics on big data/Hadoop, the
Companies have become obsessed with product quality – and for good reason. Customer dynamics, their willingness to expose product quality issues socially on the web, and the ease with which they can jump to competitive products make quality a more important differentiator than ever before. Over the past 15 years,
Downstream data have been electronically available on a weekly basis since the late 1980s. But most companies have been slow to adopt downstream data for planning and forecasting purposes. Let's look at why that is. Downstream data is data that originates downstream on the demand side of the value chain. Examples
Today in manufacturing there has been a lot of investment in automation, supervisory controls, quality, and execution systems. The amount of data produced and now being captured is staggering. The data captured in industry will re-define what is “big” in big data. Yet, for all this investment: Equipment still fails. Scrap
“When it comes to the Internet of Things, the future clearly belongs to the Things”. I made this brash statement in a previous post (“Cloud encounters of the Fifth Kind”) referring to machine-to-machine (M2M) being the fastest growing component of non-human traffic on the Web. I say “brash” because that
Warranties have a long - and some might say - interesting past. But the future is even brighter. New technologies and data sources are transforming our understanding of field quality, enabling deeper insights into product performance and customer preferences. These breakthroughs are accelerating the quest to reduce defects and satisfy customers.
