In a data driven world, it’s critical that the people who need the data to make timely, strategic business decisions actually have access to it. Flow Software’s Graeme Welton explains how to get this right.
The only thing worse than too little data, is too much. Big data becomes dumb data very quickly — there is simply so much of it that you can’t see the wood for the trees, and you can’t confidently make decisions using the data unless you’ve collected it into a single, aggregated and contextualized format, in as close to real time as you can get it. To do this, companies need to ditch the spreadsheet.
Here was the idea. Let's show how Axiom would perform if we placed 70 individual trends on a single chart. Each trend polls at one second intervals and updates 100% of the time. Then, once we have all 70 trends on a single chart, let's call for 30 days of historical values.
How will Axiom respond to a request for over 180 million values?
No, it's not a typo. I didn't mean predictive. This morning I was reading an article from SparkCognition, "Changing the World by Way of Oil and Gas", and I came across the term for the first time. After some research, here is what I learned.
The Industrial Internet of Things is changing the way companies operate. Whether you have already adopted an IIoT strategy or are beginning the planning phases of how/where to begin, there are two key elements that you must first focus on.
Battling inefficiencies and trying to save money is important to every industrial process. It is frustrating that most companies first have to invest a large amount of capital to equip themselves with SCADA solutions and data historians in order to find ways to run more efficiently.