Big Data Predictions for 2017You want Big Data predictions for 2017?
You’ve got ’em!
These are my Big Data, Data Warehousing and Analytics extrapolations for 2017. They are based on extensive, exhaustive and enigmatic work carried out by top-notch researcher gurus at Cambriano Energy, between December 2015 and December 2016.
So, stick with us as we survey the landscape that will be Big Data in 2017. (more…)
Big Data on the Edge
This is all about data governance, time-and-place utility and striving to do the right, things right, first time and every time.
First up. Having been responsible for R&D in this area in the eighties I can honestly say that Analytics ‘on the edge’ is nothing new. So this is leading edge, not bleeding edge.
That stated, the big ‘Big Data’ vendors are finally catching up with the concept of data processing ‘on the edge’, a late adoption which has been accompanied by a flurry of fluffy and content-averse articles hailing this “new” (actually it isn’t new at all) approach to Big Data, the Internet of Things and Analytics ‘On The Edge’.
Martyn Richard Jones
Langley, 2nd September 2016
Few outside of the big intelligence agencies of the USA, Russia and Andorra know this, but a big part of the success of Operational Excellence at ISIS can be put down to their judicious use of Big Data and Data Science. Or, so say the experts[i].
This will probably come as no surprise to big-gun Big Data gurus such as Bernard Marr, Rab C. Nesbitt or Alan Latchley, or indeed will it appear unusual to the more peripheral and intellectual areas of Big Data ‘guruship’ and Data Scientology, where we may find the likes of Shapiro, Kobielus and Podge and Rodge O’Leprosy.
Martyn Richard Jones
Lora del Rio, 31st August 2016
Big data has arrived. Big Data is here for keeps. Big Data is the future.
Despite some of the malicious, mendacious and malodorous words of naysayers, sceptics and contrarians, the world of big data and big data analytics is replete with totally amazing and fabulous success stories.
Big Data gurus are often accused of not delivering coherent, cohesive and verifiable accounts of Big Data successes. Which is understandable but at the same time a pity. So here, to illustrate this miraculous and remarkable turnaround, I give you not three but seven of the many Big Data success stories that I could have casually grabbed out of the ether.
First, we take a trip to Glasgow to discover the leveraging of Big Data in alternative investments. Then we pass over to Boston to explore the magic of Big Data at Universal Legal. We venture through Switzerland and innovative marketing. Explore the heights of Dongalong Creek. Have a word with the good folks at Heisenberg Labs. Then round it off with a quick in-depth summary of Big Data at Choppers. So, here we go…
Once upon a time, there was a mountain known as Peak 15. Very little was known about it. Then in 1852, surveyors found it was the highest in the world, and they named it Everest.
As with other significant challenges that we can identify in life, many people have been driven by a passionate desire to conquer peaks all around the world. This is just one illustration of those of us who can identify their significant challenges and rise to them. This sharp focus, determination and courage turns ordinary citizens into people who are invariably on a mission. People who know what they want. (more…)
Martyn Richard Jones
I first became involved in commercial analytics in the eighties. First, through my involvement in customer segmentation and data visualisation, principally in banking but also in energy, manufacturing and the chemical industry. It also emerged later, in conjunction with my activities at the Sperry European Centre for AI, and was centred on pricing and yield management applications developed using a combination of statistical techniques, expert system technology and data centre architectures all tightly integrated within a 4GL development and delivery environment. This provided a comprehensive and seamless scenario building, hypothesis testing and reporting capability. (more…)
Big Data is all pervasive, all seeing and all knowing.
Everyone is doing Big Data, and if they aren’t then they will. It’s inevitable.
Big Data will revolutionise the worlds of data, decision making and business.
Am I right, or am I right?
“Half the time she did things not simply, not for themselves; but to make people think this or that; perfect idiocy she knew for no one was ever for a second taken in.” Virginia Woolf, Mrs. Dalloway
It’s all very well for the blithering Big Data bullshitter savants to now claim, after a massive exercise in u-turning, that Big Data isn’t after all about data volumes, velocities and varieties, but about some minor variation on the theme of data architecture, management and processing.
But, look at the mess! (more…)
Martyn Richard Jones
I have questions about data.
Most of us who have more than a cursory knowledge of the English language have heard of the phrase ‘too much information’. We know what it means, even if we don’t always know when to apply it.
For those who don’t know, or are unsure, the Urban Dictionary describes ‘too much information’ as “An expression of exasperation and disgust when a person is divulging personal details of his sex life, toilet habits, or anything the listener finds disgusting, uninteresting, and unwelcome.”[1]
Sum, sum. Just because we know it, doesn’t mean we should share it or even try and remember it, never mind go about analysing the hell out of it.
This is where Big Data comes in. (more…)
Why buy when you can get it for free?
Back at you! Here is the fourth fantastic delivery of an amazing, fabulous selection of free, widely available business analytics learning content, prepared… just for you. (more…)