‘Quality‘ means many things to many people. It’s subjective and depends on the industry and product being made, but the fundamental objective is to provide the best product to the right standard associated to fit, form and function. And cost and required profit margin must also be taken into account.
One of the best parts of my job is hearing about all the cool ways people are using data for good. Increasingly, many of these stories are related to the Internet of Things, including: Smart pills that help patients stick to their treatment regimens. These ingestible sensors can monitor patients’
Depending on who you speak with you will get varying definitions and opinions regarding demand sensing and shaping from sensing short-range replenishment based on sales orders to manual blending of point-of-sales (POS) data and shipments. Most companies think that they are sensing demand when in fact they are
Have you heard the term “analytics economy” and wondered what it means? Or maybe you’ve wondered how your organization can use data and analytics to achieve economic gains. Now we have more than just data. We have accessible data, fueled by advances in compute power and connectivity, and interpreted by ever-more powerful
The intelligence community needs to revamp its approach to analytics -- and that means creating an analytics strategy that will change the status quo. The challenges facing analysts are consistent throughout the strategic, operational and tactical levels of intelligence operations. The intelligence cycle (see diagram below) is a great teaching
There is an expression in the military that goes something like this: Military leaders train and prepare for the next war using available information, which typically means they're planning for the last (previous) war -- and that's a recipe for disaster. So what does this have to do with utilities
Analytics-driven forecasting means more than measuring trend and seasonality. It includes all categories of methods (e.g. exponential smoothing, dynamic regression, ARIMA, ARIMA(X), unobserved component models, and more), including artificial intelligence, but not necessarily deep learning algorithms. That said, deep learning algorithms like neural networks can also be used for demand forecasting,
If I’m having a tough week, I might feel sorry for myself for a minute or two. But to snap myself out of it, all I have to do is think of the data managers. Those folks have to contend with duplicate records, bad information, data proliferation, accountability, permissions, privacy,
The dramatic drop in crude oil prices from the highs above $100USD per barrel down to levels around $50 per barrel is one of the drivers behind the industry’s march towards improved operating efficiency. Along the corridors of Independent Oil Companies (IOCs) and National Oil Companies (NOCs), machine learning and
“I do not like this modern technology,” said my father-in-law. “It is making people too lazy. Things are too easy now.” He was referring to my grocery order. I was sitting in his kitchen in Reykjavik, Iceland, the day before my return to the United States. I had just explained
