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Tag Archives: Big Data

Coco, el perro que superó a Wall Street

08 Wednesday Apr 2026

Posted by Martyn Rhisiart Jones in Big Data, Executive, Knowledge

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Analytics, Behavioural Economics, Best principles, Big Data, Dogma, Economics, Financial, Goal Setting, Management, Marketing, Strategy

Martyn Rhisiart Jones

Madrid, miércoles 8 de abril 2026

Hola, soy Ricky Jonesy-Innit, jefe de Becci Boo Investments. La semana pasada nos despedimos de nuestro mejor operador de materias primas. Llevaba años trabajando con nosotros.

Continue reading →

DATA WORLD: Friends! Romans! Countrymen! Big Data is not Data Warehousing – 2026/01/29

11 Wednesday Feb 2026

Posted by Martyn Rhisiart Jones in Big Data, Consider this, Data Warehousing, Good Strat, hadoop, hdfs, Martyn Jones

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Analytics, Big Data, books, Data Mart, Data Warehouse, Data Warehousing, enterprise data warehousing, Good Strat, Good Strategy, google, Martyn Jones, Martyn Richard Jones, News, sports, technology

Martyn Rhisiart Jones

29th January 2026

Hold this thought: To paraphrase the great Bob Hoffman, just when you think that if the Big Data babblers were to generate one more ounce of bull**** the entire f****** solar system would explode, what do they do? Exceed expectations.

I am a mild mannered person. However, one thing that irks me is hearing variations on certain themes. These themes include phrases like “Data Warehousing is Big Data.” Another is “Big data is in many ways an evolution of data warehousing.” Lastly, some say “with Big Data you no longer need a Data Warehouse.”

Big Data is not Data Warehousing. It is not the evolution of Data Warehousing. It is also not a sensible and coherent alternative to Data Warehousing. No matter what certain vendors will put in their marketing brochures or stick up their noses.

Continue reading →

DATA WORLD: Big Data With Bigger Smiles – The Chef’s Choice – 2026/01/28

08 Sunday Feb 2026

Posted by Martyn Rhisiart Jones in Big Data, Big Data Analytics, Business Intelligence, Cambriano, Data Supply Framework, Martyn Jones, Martyn Richard Jones, Methodology, Process, SMILES, Strategy, Uncategorized

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AI, Artificial Intelligence, Big Data, big-smiles, Business, data, Marketing, technology

Martyn Rhisiart Jones, Madrid 28th January 2026

I would like to introduce you to a pragmatic approach to Big Data and Big Data Analytics. It is real-world focused and business-centric. This is the best approach to Big Data you are ever likely to find. Yet, I am still significantly understating the magnificent utility. It is also timely and has all the pertinent facets of the approach.

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CEO BRIEFING: What Every CEO Needs to Know About Big Data – Revisited – 2026/01/26

07 Saturday Feb 2026

Posted by Martyn Rhisiart Jones in All Data, Big Data, Big Data 7s, Big Data Analytics, business, Business Intelligence, business strategy, 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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AI, Artificial Intelligence, Big Data, bullshit, Business, c-suite, CEO, chatgpt, technology

Martyn Richard Jones

New York City, 18th January 2017

OLYMPUS DIGITAL CAMERA
Blue sky for professional data architecture and management

Scope

I’ll make this short, sweetish and to the point.

These are the arguments that CEOs need to know about Big Data.

It was written for CEOs and those who provide independent advice to CEOs.

If you are someone who wants to be prepared for CEOs who are armed with the realities of Big Data, then maybe this is for you too.

Point One: Big Data is bullshit

Continue reading →

DATA WORLD: Big data’s unvirtuous circus and twelve v-words – Refresh – 2026/02/05

04 Wednesday Feb 2026

Posted by Martyn Rhisiart Jones in agile, Big Data, Big Data 7s, Big Data Analytics, Inform, educate and entertain., The Amazing Big Data Challenge, The Big Data Contrarians

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AI, Artificial Intelligence, Big Data, characteristics, science, technology, v, writing

Martyn Rhisiart Jones

Bonn, Germany, 2014

Many people come up to me in the street and ask me what big-data is all about. I have experienced this numerous times before. I am sure it might just happen to you as well. I know sort of thing, I read the big-data tea leaves. Nothing gets past me.

Continue reading →

DATA WORLD: Big Data: The Art of Bullshit – 2026

15 Thursday Jan 2026

Posted by Martyn Rhisiart 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, disinformation, governance, Inform, educate and entertain., information, Information Management, Information Supply Frameowrk, Information Supply Framework, pig data, The Amazing Big Data Challenge, The Big Data Contrarians

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AI, Artificial Intelligence, Big Data, chancers, charlatans, chatgpt, flim-flam-sauce, grifters, grok, technology, writing

Bertxin Galestara and Sir Afilonius Rex,  based on an  opinion piece written by Marty Rhisiart Jones

Mountain View, 19th January 2017 – Bandoxa Thursday 15th January, 2026

“I’ve been accused of vulgarity. I say that’s bullshit.” – Mel Brooks

If you enjoy this piece or find it useful, then please consider joining The Big Data Contrarians on LinkedIn. Continue reading →

AI Panic: What CEOs Must Know About the Tech Talent Gap

04 Thursday Dec 2025

Posted by Martyn Rhisiart Jones in Inform, educate and entertain.

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AI, Behavioural Economics, Big Data, Martyn Jones, technology

CEOs and the Magic Mitten of Hallucinations

Martyn Rhisiart Jones

Oza-Cesuras, 4/12/2025

CEOs are panicking. Again. They’re not worried about a recession. It’s not a hostile takeover. It’s not even the GDPR lurking in their inbox like a passive-aggressive ghost. They’re panicking because of AI. Yes, apparently there’s a talent gap. A yawning, gaping chasm of human inadequacy between what exists and what robots can do. Only the CEOs are brave. Some may even be desperate. They are the only ones who stare into it without blinking or vomiting on the nearest whiteboard.

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The Role of Statisticians in the Age of Data Science

17 Thursday Apr 2025

Posted by Martyn Rhisiart Jones in Inform, educate and entertain.

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Artificial Intelligence, Big Data, data, machine learning, science, statistics, writing

Did data and AI kill the statistician?

Without a grounding in statistics, a Data Scientist is a Data Lab Assistant.

Martyn Jones

Hold this thought: There are big lies, damn big lies and data science with an AI chaser.

Statistics is a science, and some would argue that it is one of the oldest sciences.

Statistics can be traced back to the days of Augustus Caesar. He was a statesman, military leader, and the first emperor of the Roman Empire. Some set its provenance even earlier.

Indeed, suppose we accept that censuses are a part of statistics. In that case, we can trace history back to the Chinese Han Dynasty (2 AD). We can also consider the Egyptians (2,500 BC) and the Babylonians (4,000 BC).

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

29 Tuesday Mar 2016

Posted by Martyn Rhisiart Jones in All Data, 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, Ask Martyn, 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 Rhisiart 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 Rhisiart 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 Rhisiart Jones in All Data, 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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Ask Martyn, 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 →

Testing the Data Warehouse

05 Saturday Mar 2016

Posted by Martyn Rhisiart Jones in All Data, 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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Ask Martyn, 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 →

12 Amazing Big Data Success Stories for 2016

22 Tuesday Dec 2015

Posted by Martyn Rhisiart Jones in Big Data, Big Data 7s, Big Data Analytics, Consider this, Data Warehouse, Data Warehousing, Good Strat, Good Strategy, Inform, educate and entertain., IT strategy, Martyn Jones, Martyn Richard Jones, The Big Data Contrarians, Uncategorized

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

If this piece tickles your fancy, then please consider joining The Big Data Contrarians on LinkedIn:

https://www.linkedin.com/groups/8338976

Every year I ask myself the same question. Will there be any tangible, coherent and verifiable Big Data success stories in the coming year? Every year I come up with nothing. Nothing at all. “Sorry, no rooms at the Big Data Success Inn, as we are closed for vacations.”

However, this year things are different. More positive, more alive and more fantastic. Continue reading →

The Big Data Contrarians At 1000

07 Monday Dec 2015

Posted by Martyn Rhisiart Jones in Big Data, Cambriano, Consider this, Good Strategy, goodstart, goodstrat, Martyn Jones, The Big Data Contrarians, Uncategorized

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Big Data, Martyn Jones

First things first. The Big Data Contrarians (“a hype free Agora for Big Data dialogue”) is now a community of over one thousand professionals. Continue reading →

Big Data Predictions for 2015: What happened next?

07 Monday Dec 2015

Posted by Martyn Rhisiart Jones in Big Data, Big Data Analytics, business strategy, Good Strat, Good Strategy, goodstrat, IT strategy, Martyn Jones, Martyn Richard Jones, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians, Uncategorized

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2015, Big Data, Martyn Jones, Predictions

Towards the end of 2014 I gazed into the amazingly incredible crystal ball called Good Strategy, well known and admired by the readers of the Good Strat Blog, and made some predictions about Big Data for the year to come. The year of the goat. As I write now we are reaching the end of the wonderful year of 2015 – an anno quite-allrightus. So, equipped with good cheer, emboldened by the thoughts of passing the vacations with loved ones, friends and family, and heartened by my impending (albeit temporary) demobilization, I have decided to look back at my predictions of a year ago, to see how accurate or mistaken they ‘have become’, and to share those reflections with you. Continue reading →

Big Data: 10 truths, 10 myths and 10 unwise things

17 Tuesday Nov 2015

Posted by Martyn Rhisiart Jones in Big Data, Data Warehousing, Inform, educate and entertain., Information Management, Uncategorized

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Ask Martyn, Big Data, enterprise data warehousing, Martyn Jones, Strategy

StartSMILESMany people come up to me in the street and beg me to write about the truths, myths and unwise things said about Big Data. I am offered gifts of goats, partners and riches beyond the dreams of avarice just to pronounce on such things. I am not in the habit of bowing to such street-pressure, but I have finally come round to doing something, if only to placate the river of rose-petal bearing infants’ tears flowing past my abode.

Big Data is for everyone

Continue reading →

Big Data, analytics and 4th generation data warehousing by Martyn Jones at Big Data Spain 2015

13 Friday Nov 2015

Posted by Martyn Rhisiart Jones in All Data, Big Data, Data Supply Framework, Good Strat, Inform, educate and entertain., informatio Supply Framework, Martyn Jones

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4th generation data warehousing, Analytics, Big Data

Big Data, a promised land where the Big Bucks grow

11 Wednesday Nov 2015

Posted by Martyn Rhisiart Jones in Big Data, Data Lake, data science, Martyn Jones, Martyn Richard Jones

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Big Data, Martyn Jones

B

Consider this: Many people come up to me in the street, and, apropos of nothing, they ask me how they can make money from Big Data.

Normally I would send such people to see a specialist – no, not a guru, but a sort of health specialist, but because this has happened to me so many times now, I eventually decided to put pen to paper, push the envelope, open up the kimono, and to record my advice for posterity and the great grandchildren.

So, here are my top seven tips for cashing in quick on the new big thing on the block.

1 – A business opportunity for faith

Like every new religion, trend or fad, Big Data has its own founding myths, theology and liturgy, and there is money to be made in it; loadsa lovely jubbly money. By predicating and evangelising Big Data you will be welcomed with open arms into the Big Data faith, and will receive all the attendant benefits that will miraculously and mysteriously fall upon you and your devout friends. Go on, I dare you. Be a Big Data guru, a shepherd to a flock of sheep, and enjoy the wealth, health and happiness that most surely will come your way. You too can look cool in red Prada slippers, a flattering and flowing gown and matching accessories.

2 – Acquire it, multiply it, weigh it, mark it up and sell it on

Simply stated, this is about acquiring other people’s data, by sacred means or profane, marking it up and then selling it on. The value you add is that you act as a trusted conduit, a conduit for good. You may care to enrich the data, swop the order of data, replicate and embellish data, make stuff up, etc. which all serves to ‘add value’ to the data. You may even consider adding nuggets of value to the data, just for kicks and giggles. My best friend’s favourite is injecting the good old ‘diaper and beer’ and ‘friends and family’ clichés into every Big Data collection, as it never fails to thrill, please and delight.

3 – Anything can be anything

The good thing about making money from Big Data is that it doesn’t need to be anything to do with Big Data. Make a 20GB Enterprise Data Warehouse? Call it a Big Data success. Sell 20 boxes of dodgy doughnuts down the alternative market? Proclaim a Big Data triumph. Sell your digital porn stash to your best mate? Point to the incredible invisible hand of the Big Data market at work. See what I’m doing there. Anything can be anything, and you too can cash in on that opportunity, big time.

4 – Big Data Patronage

Tense, nervous headaches? Do you like making up stories about Big Data, or for that matter anything else? Are you a natural born fibber but are strapped for cash? Then worry no longer. If you get a Big Data patron you will be sorted for ‘life’; get two and you’ll be sorted for the afterlife as well. With a Big Data patron you can get the most tenuous, crappiest and superficial of pieces published, promoted and vaunted – globally. Can’t make it up yourself, then outsource and offshore it, after all, just get the keywords right for SEO ranking and the gullible will flock to you in droves. The down side of this profession is that you will be targeted for writing half-truths, quarter-truths and downright lies, and you will be pilloried as a purveyor of rank hyperbole. But don’t worry, take heart and never lose the faith, you will be in good company. As one Big Data guru was want to say ” If you repeat a lie often enough, people will believe it, and you will even come to believe it yourself.” Amen! brother.

5 – Big Data Certification

By 2016 there will be global demand for 30 billion Big Data professionals. Are you prepared to cash in on that inevitability? No? Then consider this.

One of my best friends makes his living as a completely phony Big Data Scientist. For two hundred bucks he can make you a Data Scientist or a Big Data guru. Some guys give you an education but this guy gives you immediate access to high paying jobs, sex and a life in the city. Moreover, for an extra 250 bucks you can also become a certified Big Data Trainer, which will allow you to do unto others what has been done unto you.

6 – Creative Technology Reuse

Big Data has heralded in the biggest innovations known in the history of computing, and arguably in the entire history of humankind. One of those new inventions has been the now widely acclaimed and revolutionary ‘flat file data base’ (FFDB), and this has been accompanied with developments in low level operating system primitives that allow for the processing of these collections and hierarchies of FFDBs. So, if one has a mind to do so, one can get some real business leverage off of these new tendencies by borrowing 21st century technology found in old operating system hacks from the sixties and seventies and eighties and nineties and… Well, the point is that in order to get serious funding it is no longer good enough to have a half page business plan, it is also necessary to eke out ‘stuff’ that works within the new paradigms of Big Data and Big Data Analytics. For my next venture I will be looking for serious funding for my ‘Arbitrary Dawdle Down Data Street’ (AD3S) Big Data Analytics platform, a platform designed to support virtual 1k bit processing and the massively parallel provision of global regular expression search and match (S&M), concatenation and listing, and cooperative data-driven and streamed data extraction and reporting. I’m hoping to attract the attention of governments, the EU, the Manic Street Preachers, the UN, China, Vladimir Putin, the DOD, HP, Oracle, Gartner, Lana Del Rey, Deloitte and IBM. So, this is going to be absolutely massive. Word!

7 – Big Data Brokerage

According to leading management consultants and industry watchers Gartner, McKinsey and Deloitte, data needs to be managed and accounted like any other asset, such as money. To get into a similar view-point requires a massive leap of faith, but it is a conversion that might drive dividends. One avenue to be explored in eking out value from the apparently massively valuable Big Data lakes, silos and pools is through the operation of a Big Data Brokerage. A Big Data Brokerage is a business whose main responsibility is to be an intermediary that puts Big Data buyers and Big Data sellers together in order to facilitate a transaction. Big Data Brokerage companies are compensated via commission after the Big Data transaction has been successfully completed. They may also charge introductory fees. Just imagine the wealth of business opportunities in that. You could become the Goldman Sachs of data.

That’s it folks!

I hope you enjoyed this piece and would be pleased to hear your views on this and other subjects.

Whilst I understand the attraction and even the need of creating a new and significant growth industry, I would also advise a degree of restraint, and whilst I see that “Big Data” (the consideration of the potential value of All Data) has its allure, I also think that some good sense and informed caution should also prevail.

Thank you so much for reading.

Martyn Richard Jones

Spain, 2015

The Big Data Shell Game

11 Wednesday Nov 2015

Posted by Martyn Rhisiart Jones in All Data, Big Data, Cloud, Data Lake, data science, Inform, educate and entertain., IoT, Martyn Jones

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Big Data, data science, Martyn Jones

To the experienced observer, Big Data propaganda may well appear to be a disorganised surfeit of half-truths, sleights of hand and boloney. Indeed, the once famously alliterative characterisation of Big Data as defined by volumes, variety and velocity, seems now more appropriately applied to the quantity, invariability and quality of the incessant self-aggrandising hype, hokum and Hadoop being astro-turfed by every dog and his guru. Indeed, the very fact that such an inevitable mega-trend needs so much hype, disingenuousness and spin to support its passage to universal applicability, is a massive contradiction, a disservice to professionals, and an artless deception worthy of our criticism and condemnation. Continue reading →

I lied about Big Data! Have an issue?

11 Wednesday Nov 2015

Posted by Martyn Rhisiart Jones in Big Data, data science, Data Supply Framework, Inform, educate and entertain., Information Supply Framework, Martyn Jones, statistics

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Big Data, Martyn Jones

In a city centre office block, somewhere in Scotland, the conversation between the IT Business Manager (Bill) and the Information Management Manager (Richie) is in full swing,, Bob is irate because his successfully delivered data mart has been derided as unusable rubbish by the business people it was meant to serve.

Let’s join the conversation:

Bill: I hate this job. Every time we try and help the business all we get back are complaints. Complaints because it’s not what they want, complaints because it’s in the wrong format, complaints because of the cost, or the performance, or the availability. All we get are complaints, complaints and complaints.

Richie: Well, to be fair, Little Bill, this was one clearly avoidable situation. We didn’t have to build the data mart.

Bill: I know what you’re thinking, but you are wrong. We had to do something. Anything.

Richie: I don’t agree, Little Bill, we always had the option of doing nothing.

Bill: And why would we do nothing?

Richie: Because. as I said at the time, Little Bill, without demand you don’t create supply, and at this level and on this scale, if you want to create supply, you first encourage demand. But it’s still fundamentally about meeting demand.

Bill: But, things don’t work like that in this organisation.

Richie: I think you will find that in fact that approach works remarkably well, Little Bill, and in almost any type of organisation. The problem is one of perception, if it has never been tried before there is no internal reference to whether it works or not, and of course repeating the mistakes of the past with absolute security, if better than doing something correct, but unproven in this setting.

Bill: No, I still think you fail to understand the nuances of this business.

Richie: You may well be right, Little Bill, but clearly if we really understood the even the nuances of the business, then we wouldn’t have wasted time on this effort, an effort that one of the business executive described as the expensive manifestation of an abject failure to understand the fundamentals of the business.

Bill: They said that?

Richie: Yes, they certainly did, Little Bill.

Bill: Well, if that’s the case then they clearly don’t know what they are talking about.

Richie: As may be the case, but that doesn’t help us either.

Bill: So, you with all of your ‘knowledge and experience’, what do you suggest?

Richie: I suggest that we take a proactive approach to encouraging demand.

Bill: Such as?

Richie: Well, I would revisit the recommendations that I made when I first joined this department.

Bill: Okay, just remind me of the key points.

Richie: We need part of IT to understand business process, and our business processes; in effect we need people who know the business of the business. These should be people who talk to the business in language the business understands, has a good grasp of a vast array of issues, and who can be confident in their everyday dealings with business.

Bill: But, the business always thinks it knows best, how will these people succeed where we have almost always failed in the past? They think we overly complicate things; they virtually try and tell us how to do our jobs.

Richie: That’s why we need people who can communicate with authority, persuasively and with ease, not from a basis of mistrust, lack of empathy and even disdain. We need people who can sell ideas, can frame discussions and articulate coherent and realisable proposals for business IT solutions using language the business grasps the first time. We need people who understand what is said, can lead discussion and can capture requirements in a way that IT can also understand.

Bill: But the refuse to talk to us.

Richie: Well, that’s perhaps rather unsurprising from people who seem to think they have articulated the same requirements to us, and repeatedly, over an extended period of time. The problem is that we have very rarely documented those requirements, and when it has happened it has not been in a way that business can understand and verify, they can’t take any of our requirements and actually understand them without resorting to a translator, so they don’t do it.

Bill: Okay, so apart from blaming IT, what do you suggest?

Richie: The first hurdle seems to be simple. We need to convince the business that we actually have something worth listening to, that we aren’t going back to waste their time, yet again.

Bill: And?

Richie: So, what I suggest is this. Part of my team will spend time on investigating existing and new technologies, methods and approaches and how these are applied in similar industries or even dissimilar settings, but with certain synergies. They will have a good grasp of the business but their focus will be on understanding technology and relating it to project opportunities within our business. They will then work with our Business Consultants to actually articulate, explain and sell the benefits of these ideas to the business.

Bill: This, as I have repeatedly told you, is what we do now.

Richie: I don’t think so, Little Bill. There is a marked difference between what we do now, with the “look what a marvellous data mart we have made for you, it has data and lots of menu options, and graphics and stuff” versus the “we would like you to that allows you to be able to identify tangible cross-selling opportunities between various lines of business and with a high degree of certainty, this driving increased revenue, and increased customer intensity, and therefore loyalty… and repeat business”

Bill: So, we go begging the business for projects, with silver-tongued rhetoric.

Richie: No, Little Bill, we give the business what it wants. They are our customers, and as any business person should know, giving the customers what they want is a sure fire route to success.

Bill: Yes, but it would never work here. We are a very conservative company.

Richie: If the rest of the organisation was that conservative, we wouldn’t even be in business.

Bill: So what happens if the business says yes?

Richie: The business consultants and the research consultants work with the architecture consultants in socialising the business requirements and in developing solutions architecture (or a domain architecture), and as part of this they will also interact with the enterprise architecture consultant. So at some point, we will have a Business Requirements document, an IT requirements document, and an IT / Business Process Architecture document, and a Project Proposal document. Then the Business Requirements document – including detailed financials, together with the Business Project Proposal are socialised with the business, and submitted to them for review and approval. We then negotiate.

Bill: You make it sound easy.

Richie: You have to know what you’re doing, and there is logic to it all, but it’s far more rewarding than working on projects that invariably fail to satisfy.

Bill: So, when do we get started on all of this…?

Richie: As soon as you want, Little Bill.

So as we leave Bill and Richie to hammer out the details of the new approach, what can we take-away from this piece of business voyeurism?

I sincerely believe that the hardest job of any data warehousing professional, at least one worthy of the name, is in convincing sometimes even senior IT management of the need for doing the right thing right, of the possibility of doing the right thing right, and of the dangers of confusing ignorance and wishful-thinking with pragmatism.

So, make sure you get an expert, that your expert really is a professional, is absolutely ethical and that they really know their stuff, and when they don’t know, will not try and pretend that they do know, then trust in their professionalism, judgement and expertise, even if you then verify what you are told – and please, don’t verify this knowledge with a charlatan, spend more money and get the verification of a trusted and proven expert. Do this, and in this way and you won’t go far wrong.

Many thanks for reading.

Oh, and one last thng…

According to SAP “Big Data is the ocean of information we swim in every day”. I disagree; Big Data hype is the ocean of crap that we have to navigate through every second of every day.

Moreover, SAP contribute to that shite.

In a big way.

So, not only do we have Software aus Polen, we have Big Data aus Polen. With apologies to the great Polish IT professionals I know and respect.

Champion!

SAP! Mend your ways.

The choice is yours.

Many thanks for reading. 

The Big Data Contrarians: The Agora for Big Data dialogue

11 Wednesday Nov 2015

Posted by Martyn Rhisiart Jones in All Data, Big Data, Inform, educate and entertain., statistics, The Big Data Contrarians

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All Data, Analytics, Big Data, Martyn Jones

“In fact men will fight for a superstition quite as quickly as for a living truth – often more so, since a superstition is so intangible you cannot get at it to refute it, but truth is a point of view, and so is changeable.”

Hypatia

On the 1st of July, I decided to set up a professional group on LinkedIn in order to create a hype free Agora for Big Data dialogue. I called the group The Big Data Contrarians and although it is a closed group, all those with interest in an open, informed and honest exchange of ideas on data, from whatever angle they are coming from, are very welcome to join in. (URL:  http://www.linkedin.com/grp/home?gid=8338976)

So, why is the group called The Big Data Contrarians and not something more generic, such as The Data Contrarians?

Continue reading →

10 amazing reasons to join The Big Data Contrarians

11 Wednesday Nov 2015

Posted by Martyn Rhisiart Jones in All Data, Big Data, Consider this, Inform, educate and entertain., Martyn Jones, Martyn Richard Jones

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Big Data, goodstrat, Martyn Jones

You love data. You eat, breathe and sleep data! You source it, clean it, integrate and then analyse it until it confesses. You represent, invent and present results. Data is your life and Big Data is your prophet. The Big Data Big Top is the place to be, and (passively) that is where you are headed. For you, Big Data drives everything we do! Is that the case?

Yes?

No worries, in spite of all of that, you too can also be a useful member of The Big Data Contrarians.

Continue reading →

Not banking on Big Data?

11 Wednesday Nov 2015

Posted by Martyn Rhisiart Jones in All Data, Big Data, data science, Inform, educate and entertain., Martyn Jones

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Big Data, goodstrat, Martyn Jones

First, a request, please consider joining The Big Data Contrarians.

I have worked with clients across the entirety of financial industry for most of my career, and although this may surprise some people, I believe that I fully understand why they are being conservative about Big Data in general and Hadoop in particular. I can also understand why some people want to keep up or even ramp-up even more the Big Data market buzz, but with such a dearth of meaningful, well described and verifiable Big Data ‘success stories’, neither the banks nor I are going to be speculating in any big way on Big Data or Hadoop, anytime soon.

Based in Spain for almost three decades, I have been up close and intimate with a few of the biggest players in the Spanish financial industry. Indeed, Spanish banks have not only lead the way in the effective, innovative and business driven use of technologies in the Spanish market, but have applied that financial industry nous around the world.

In recent times, the big financial players in Spain have entered into the Big Data fields and stratospheres. From what I know, which may not be all, or so much, they are still watching and investigating rather than putting tangible things in production. Nevertheless, there are some interesting Big Data application ideas floating around the financial world. These are still relatively early days for Big Data in finance, and it will take some time for the hype to fade away and the cream of financial Big Data to rise to the top.

However, it has happened before.

If there was ever a country that quietly, diligently and consciously implemented Data Warehousing and Business Intelligence, then it has been Spain. Spanish companies were not only early adopters but also early beneficiaries of implementing Data Warehousing. Not for nothing did Bill Inmon’s company Prism Solutions chose Madrid as a major hub for its European Data Warehousing consulting, sales and support activities. Bill being the father of Data Warehousing and Prism being one of his commercial babies.

As an aside, at Prism I had the opportunity of working alongside fantastic professionals and great people with knowledge, values and experience, such as Don and Katherine. That great gig, I will never forget.

Which brings me to this.

I knew what Data Warehousing would be good for, and amplified this knowledge through reasonable, rational and coherent ways of addressing a wide range of requirements. My aim was to support my claims with coherent, simple and verifiable examples of Data Warehousing success stories.

I knew how to explain Inmon’s Data Warehousing, in business, management and technical terms. I saw when a company could benefit from DW and also when a company was not ready for DW. However, try as I might, I cannot achieve the same intensity of understanding with Big Data. Believe me I have tried.

I’m not a contrarian just because, but isn’t it about time the Big Data BS babblers put up or shut up?

So, if you are like me, then join The Big Data Contrarians.

Many thanks for reading.

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