In an IoT world, everything is connected. But what does it mean to be connected? Does it mean being plugged in to your phone, car, home, TV, favorite apps and retailers? Does it mean knowing what’s happening all around you? And having the “things” you’re connected to acting as recommender
Recently I backed into a hotel parking spot after returning from a customer dinner. It was dark and rainy, and I was tired from traveling. My mind wandered until I heard a shrill “BEEP BEEP BEEP” coming from my rental car. I looked down at the dashboard’s rear-view camera, and
The widespread adoption of the term "analytics" reminds me of the evolution of the term "supply chain management." Initially the term focused on supply chain planning. It involved demand and supply balancing and the heuristics and optimization tools that came out of advanced planning and scheduling. Over time practically everything was included
Omnichannel Analytics are helping companies uncover patterns in big data to improve the customer experience. Using those insights, companies can anticipate what consumers are planning to purchase and influence that purchase in real time. Companies are experiencing unprecedented complexity as they look for growth and market opportunities. Their product portfolios are
Manufacturers are used to operating in challenging circumstances – whether financial, economic, political or competitive. And it's a good thing since the coming years seem likely to be as uncertain as those following the global economic crash. But manufacturing will have an excellent opportunity to thrive because, like many sectors,
I've been reflecting on my life and career recently and was amazed to discover that I just hit 30 years of working with industrial and manufacturing applications. While it’s a bit tough to admit my age, I’m quite happy with my career and have enjoyed manufacturing and industrial applications. I
Machine learning is taking a significant role in many big data initiatives today. Large retailers and consumer packaged goods (CPG) companies are using machine learning combined with predictive analytics to help them enhance consumer engagement and create more accurate demand forecasts as they expand into new sales channels like the
What if you could predict with near-perfect accuracy what you’re going to sell and when your customer is going to buy? Right supply, right time is the goal German manufacturers have set themselves, without reducing the configuration options customers expect. Having almost completed stage 1 of their plan – changing
Since the idea of an “IoT analytical lifecycle,” may be understood in many different ways, let’s start with a definition. Performing analytics at the data center and the cloud is well established practice, and is still quite relevant. With growing numbers of connected devices and availability of computing capabilities at
Data monetization, at its simplest, is the process of turning data into bottom-line value for a company -- often through improving efficiency and/or customer experience, and building customer loyalty as a result. This may sound simple, but in practice, it’s anything but. Good data, advanced analytics and real-time decision making
