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Category Archives: The Amazing Big Data Challenge

Seven Magnificent Big Data Success Stories

31 Wednesday Aug 2016

Posted by Martyn Jones in All Data, Ask Martyn, Big Data, Big Data 7s, Big Data Analytics, Cambriano, dark data, data architecture, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, good start, Good Strat, Good Strategy, goodstart, goodstartegy, goodstrat, Inform, educate and entertain., Martyn does, Martyn Jones, Martyn Richard Jones, pig data, The Amazing Big Data Challenge, The Big Data Contrarians

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Mount_Everest_as_seen_from_Drukair2_PLW_editMartyn 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…

Continue reading →

Getting business value from data? Commercial analytics is where it’s at

29 Tuesday Mar 2016

Posted by Martyn Jones in All Data, Analytics, Ask Martyn, Big Data, Big Data 7s, Big Data Analytics, Commercial Analytics, dark data, data architecture, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., Martyn does, Martyn Jones, Martyn Richard Jones, pig data, sentiment analysis, The Amazing Big Data Challenge, The Big Data Contrarians

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Analytics, Big Data, Commercial Analytics, Martyn Jones, Strategy

Martyn Richard Jones

Overview

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. Continue reading →

Big Data: And it’s all gone quiet over there!

29 Tuesday Mar 2016

Posted by Martyn Jones in All Data, Big Data, Big Data 7s, Big Data Analytics, business strategy, Cambriano, Consider this, dark data, data architecture, Data governance, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Good Strategy, Inform, educate and entertain., IT strategy, pig data, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians

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Behavioural Economics, Big Data, Good Strategy, goodstrat, Information Technology, IT Strategy, Martyn Jones, Martyn Richard Jones, Strategy

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?

Continue reading →

CONSIDER THIS: Big Data Inertia

22 Tuesday Mar 2016

Posted by Martyn Jones in All Data, Big Data, Big Data 7s, Big Data Analytics, dark data, data architecture, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., pig data, The Amazing Big Data Challenge, The Big Data Contrarians

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Big Data, business strategy, Consider this, data, Data Warehouse, Information Technology, Martyn Jones, Martyn Richard Jones

“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! Continue reading →

Too Much Information

16 Wednesday Mar 2016

Posted by Martyn Jones in All Data, Ask Martyn, Big Data, Big Data 7s, Big Data Analytics, business strategy, dark data, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Good Strat, Good Strategy, goodstrat, Inform, educate and entertain., IT strategy, Marty does, Martyn does, Martyn Jones, Martyn Richard Jones, pig data, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians

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Big Data, Business Enablement, business intelligence, Business Management, Data Warehouse, Good Strat, Information Technology, Martyn Jones, Martyn Richard Jones, Organisational Autism, Strategy

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. Continue reading →

Free Business Analytics Content –Thanks to Wikipedia – Part 4

09 Wednesday Mar 2016

Posted by Martyn Jones in All Data, Analytics, Ask Martyn, Big Data, Big Data 7s, Big Data Analytics, business strategy, dark data, data architecture, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Good Strat, Good Strategy, goodstrat, Inform, educate and entertain., IT strategy, Marty does, Martyn does, Martyn Jones, Martyn Richard Jones, pig data, statistics, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians

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Image1

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. Continue reading →

Free Business Analytics Content –Thanks to Wikipedia – Part 3

08 Tuesday Mar 2016

Posted by Martyn Jones in All Data, Analytics, Ask Martyn, Big Data, Big Data 7s, Big Data Analytics, business strategy, dark data, data architecture, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Good Strategy, Inform, educate and entertain., IT strategy, Marty does, Martyn does, Martyn Jones, Martyn Richard Jones, pig data, Process, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians

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Image4Why buy when you can get it for free?

Back at you! Here is the third fantastic delivery of an amazing and fabulous selection of free and widely available business analytics learning content, which has been prepared… just for you. Continue reading →

Free Business Analytics Content –Thanks to Wikipedia – Part 2

07 Monday Mar 2016

Posted by Martyn Jones in All Data, Analytics, Big Data, Big Data 7s, Big Data Analytics, dark data, data architecture, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., pig data, The Amazing Big Data Challenge, The Big Data Contrarians

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Image3Why buy when you can get it for free?

Back at you! Here is the second fantastic delivery of an amazing and fabulous selection of free and widely available business analytics learning content, which has been prepared… just for you. Continue reading →

Free Business Analytics Content –Thanks to Wikipedia – Part 1

05 Saturday Mar 2016

Posted by Martyn Jones in All Data, Analytics, Big Data, Big Data 7s, Big Data Analytics, dark data, data architecture, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Inform, educate and entertain., pig data, statistics, The Amazing Big Data Challenge, The Big Data Contrarians

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Image2Why buy when you can get it for free?

Here is the first fantastic delivery of an amazing and fabulous selection of free and widely available business analytics learning content, which has been prepared… just for you. Continue reading →

Testing the Data Warehouse

05 Saturday Mar 2016

Posted by Martyn Jones in All Data, Ask Martyn, Big Data, Big Data 7s, Big Data Analytics, business strategy, dark data, data architecture, Data governance, Data Lake, data management, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Good Strat, Good Strategy, goodstrat, Inform, educate and entertain., IT strategy, Martyn does, Martyn Jones, Martyn Richard Jones, pig data, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians

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Big Data, Data Warehousing, Martyn Jones, Martyn Richard Jones

Image1Martyn Richard Jones

Dusseldorf, August 2006

Data Warehousing provides possibly one of the best opportunities for IT organizations to deliver a valuable business solution in order to address a set of business needs; requirements that go well beyond the area of day to day operational support, and traditional applications (web enabled or not), and when Data Warehousing is done the right way, and for the right reasons, its payback to all of its stakeholders can be positively significant. Continue reading →

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