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Category Archives: Dogma

Agile at Scale is bullshit by design

28 Tuesday May 2019

Posted by Martyn Jones in agile, agile@scale, All Data, Architecture, Assets, awareness, behaviour, business strategy, Creativity, Dogma, IT strategy, Strategy, structured intellectual capital, Value

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cropped-p4010326.jpgMartyn Ricard Jones

Bruxelles 28th May 2019

To begin at the beginning

To paraphrase the great Bob Hoffman. Just when you thought that if evangelists for Agile were to generate one more ounce of bullshit the entire fucking solar system would explode, what do they do? Exceed expectations.

And how did they do that? Ladies and gentlemen, let me introduce you to Agile at Scale with all the miscellaneous, spiced-up and vainglorious crap-on-the-side that accompanies it.

Continue reading →

In the beginning was the Big Data Plan

23 Tuesday Feb 2016

Posted by Martyn Jones in 4th generation Data Warehousing, Big Data, Big Data 7s, Big Data Analytics, Data governance, Data Lake, data science, Data Warehouse, Dogma, DW 3.0, Information Management, Information Supply Frameowrk, Infotrends, Inmon, sentiment analysis

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Lucas_Cranach_d._Ä._035

In the beginning was the Big Iron, the Big Data, and the Big Data Plan.

And then came the Big Data Assumptions.

And the Big Data Assumptions were without form.

And the Big Data Plan was without substance.

And the Big Iron was without movement.

And the Big Data was without velocity, variety and volume.

And darkness was upon the face of the data workers.

And they spoke amongst themselves, saying: “Big Data, is a crock of shit, and it stinketh mucho”.

And the data workers went unto their Data Supervisors and said: “This here Big Data is a pile of putrid crappy keech”, for they were from Govan, and continued, “and none may abide the odour thereof”.

And the Data Supervisors went unto their Information Managers, saying: “Big Data is a container of excrement, and it is very strong, such that none may abide by it.”

And the Information Managers went unto their Business Directors, saying: “This here Big Data doodoo is a vessel of fertilizer, and none may abide its strength.”

And the Business Directors spoke amongst themselves, saying to one another: “Big Data contains that which aids plant growth, and it is very powerful.”

And the Vice Presidents went unto the President, saying unto him: “This new Big Data will actively promote the growth and vigour of the company, with powerful effects.”

And the President looked upon the Big Iron, the Big Data and the Big Data Plan, and saw that they were good.

Many thanks for reading

Join The Big Data Contrarians

The Big Data Contrarians

Consider this: Financial Crisis and Subprime

01 Monday Dec 2014

Posted by Martyn Jones in awareness, Banking, Consider this, disinformation, Dogma

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Tags

financial crisis, Organisational Autism, Risk, subprime

Consider this: Financial Crisis and Subprime.

Martyn Jones

This is a republication of a piece written in 2009 on the subject of the Financial Crisis and Subprime loans. As the spectre of overreach and unhedged risks raises its ugly head once again, the temptation to republish this piece was just too much to resist.


Oh dear, whatever happened here? After years of over-borrowing and under-saving, the plentiful supply of cheap and easy money, the enthusiastic recklessness of a number of financial managers, and the complaisance of governments, the inevitable happened, and panic ensued.

It has not been edifying to see political leaders – people at one time we might have considered intelligent, cautious and wise human beings, falling over each other, in the courageous rush to identify scapegoats, to nationalise bad debt and to prop up failing companies.

After cursory deliberation, the condemnatory finger pointed at short sellers and Hedge Funds, and this mendacity passed by with little comment. Thankfully, the new blame game does not seek to target a conspicuous group of people, such as Swiss gnomes, which is progress of sorts, but it is still only a marginal improvement.

So, what caused the financial crisis? Superficially, the answer is simple; it has been the collapse of the subprime market and its impact on underwriters of usurious lending.

There was a time when people with bad credit ratings, or no credit ratings at all, would have found it difficult to obtain a high street loan to purchase a second-hand car, and would have had no chance of obtaining a housing mortgage.

Cheap and plentiful money, overvaluation and the property boom, changed all of that.

Subprime allowed people with dodgy credit ratings to acquire mortgages, albeit with inflated interest rates and draconian small print.

For years, things worked quite well, as the number of people keeping up with their repayments well-exceeded analyst’s forecasts, which meant that profits from subprime lending surpassed expectations.

This led to two things. The further downplaying of risk in the subprime market, and a boom in the number of banks offering subprime loans.

Traditionally, banks lent out money that they held in the form of deposits, in exchange for timely repayments. In many countries, banks were constrained by how much exposure to risk they could assume, in order to ensure solvency and liquidity; so, even when money was at its cheapest, they could not legitimately expand their subprime business beyond certain levels, without getting creative and by passing on risk to third parties.

What happened next? Just as some banks had cashed-in on insurance brokerage, some switched to the role of subprime lending matchmakers. This meant that they were able to take the upfront brokerage fees, and then pass on the loan arrangements to another financial house, and in this way, they increased their fees whilst offloading the risks inherent in holding especially risky arrangements.

Of course, the actual underwriters of these loans also wanted to reduce their risk exposure.

It is a simplistic explanation, but what these companies first did was to create a way to allow for betting on the overall performance of collections of mortgages – the fewer defaults the higher the gains, in order to allow trading in bets.

Additionally, because of the perceived low risk of subprime and the continued overvaluation of real estate, these bets came with an irresistible added value-proposition. A triple A (AAA) risk rating. “Look Ma! Just like government bonds”.

Then, these companies sold slices of these composite bets to other punters, charging for the betting slips based on a combination of risk, time duration and return.

There are various forms of betting on subprime performance, the most common products being Collaterised Debt Obligations, Mortgage Backed Securities and Asset Backed Securities, the riskiest bits of which are toxic waste.

Now, the calculation of the value and the risks in these bets are horribly complex, and frequently inaccurate. So, just to push the envelope, some people came up with a way to take a bunch of already complex pooled bets, and to create a mega pool of pooled bets, which they would then sell on to the market, as another investment product.

So, when economies tanked, it was the subprime market, mainly in the USA, that took the hit for the increase in the defaults on loan repayments. Worse still, because the holders of these bets could not honestly state either their riskiness or actual value, they became as desirable as financial crap, which meant that other banks were no longer prepared to lend them money, and for Prime Brokers to be denied loans, is like turning off their life support?

As attractive as schadenfreundin might be, letting Prime Brokers go to the wall is not a sensible option, as the survival of other companies and many jobs are also at stake.

The subprime downturn led to the current predicament, but that is not where it started, preceded as it was by the follies and frauds of the dot com era, the artificial “good times” brought on by government overinvestment in the military industrial complex and the costs of war and occupation.

We are where we are mainly because of one thing, decades of government, corporate and personal imprudence.

Many thanks for reading this piece.


File under: Good Strat, Good Strategy, Martyn Richard Jones, Martyn Jones, Cambriano Energy, Iniciativa Consulting, Iniciativa para Data Warehouse, Tiki Taka Pro

Silly Season! Data Warehousing is Hadoop is Big Data?

12 Sunday Oct 2014

Posted by Martyn Jones in Architecture, Ask Martyn, Banking, Best principles, Big Data, Business Intelligence, Creativity, Data Warehouse, Dogma, Knowledge, Peeves

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Tags

Banking, Behavioural Economics, Big Data, Bill Inmon, business intelligence, data integration, Data Marts, Demagogism, Dogma, enterprise data warehousing, hadoop, Information and Technology, information management

Let’s get this baby off the ground

This weekend I read a piece on the Information Management website by Steve Miller with the title of Big Data vs. the Data Warehouse. It’s an old piece, from March 2014.

It was in response to a piece penned by Bill Inmon, titled Big Data or Data Warehouse? Turbocharge Your Porsche – Buy an Elephant, in which he singled out for criticism the ad campaign of a big-data and Hadoop promoter.

Continue reading →

The mythical low hanging fruit – The bane of IT and Data Warehousing

08 Wednesday Oct 2014

Posted by Martyn Jones in Big Data, Business Intelligence, Data Warehouse, Dogma, Peeves

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Tags

Behavioural Economics, Big Data, business intelligence, Data Warehouse, enterprise data warehousing

The problem with Data Warehousing is that at a superficially high level it is very easy to explain, and it’s quite amazing that this superficially high level is all that a lot of people need in order to do data warehousing their own way.

This is one of the reasons why many companies have been convinced that they could do Data Warehousing by simply building lots of “cost effective” independent Data Marts. Of course they were right, right?

Well, no. Companies found that the more independent data marts they had the more costly and complicated it became to maintain them and the more costly and complicated it was to add additional independent data marts into the mix. That and the absence of delivery on other promises – such as data integration and singular views of the organisation – ensured that this approach would rightly acquire bad press.

Why did this happen? Again we can go back to the beginning. People were told that data warehousing was about using a subject oriented, integrated, time variant and non-volatile data store in order to act as the source for all data mart development, and ultimately as the source of record for all strategic reporting. The trouble then came in two forms: people thought they could choose one or more characteristic and it would still deliver all of the benefits of data warehousing, and secondly, people were convinced by consultants that data warehousing could also be a collection of data marts.

As Bill Inmon put in 1998: “You can catch all the minnows in the ocean and stack them together and they still do not make a whale”.

It may be informative to take a step back. In the dark ages of data warehousing not all the technology vendors were equipped to cope with the burgeoning DW market, and some technologies just couldn’t hack it[1] when it came to building real Enterprise Data Warehouses. So, rather than miss out on all of the jolly cash that was finding its way into the fighting funds of DW initiatives, they decide to cash in on DW by muddying the waters and pulling the wool over people’s eyes, whilst effectively fleecing the gullible punters[2].

From the strategy of the small technical vendors came the idea that you could simply have data warehousing by building lots and lots of stovepipe data marts – hence Bill Inmon’s remark about the minnows and the whale. These marketing strategies were also supported by those who saw their own path to data warehouse glory passing through data silos rather than via well engineered end-to-end enterprise data warehousing. It may surprise some of the readers that the Kimball approach and the Inmon architecture were so different at one time, but they were. Yet over the years the Kimball camp has moved closer and closer to the Inmon approach, whilst at the same time seemingly[3] maintaining an aversion for anything that isn’t dimensional and explainable in terms of facts and measures. Although, if we are going to be frank and earnest (Frank in New Jersey, Earnest in Chicago), ‘conformed’ seems to be the most overused Information Management euphemism of recent times.

[1] Not appropriate or adequate.

[2] EDW customers.

[3] It’s my appreciation and I could be wrong.

Mugged in Data Hell – Summary – На Бо́га наде́йся, а сам не плоша́й

07 Tuesday Oct 2014

Posted by Martyn Jones in Architecture, Best principles, Business Intelligence, Data Warehouse, Dogma, Knowledge, Offshoring, Outsourcing, Peeves, Risk, Strategy

≈ 10 Comments

Tags

Behavioural Economics, Business Enablement, business intelligence, Business Management, business strategy, Challenges, Data Warehouse, Demagogism, Dogma, Financial, IT Strategy, Offshoring, Organisational Autism, Outsourcing, Requirements management, Risk

I wrote a piece called Mugged in Data Hell.

It told the story of a CIO who was hoodwinked, cajoled, bullied, bribed and patronized into doing the wrong things, continuously.

As my mate Bill said, “It packs big punches, and doesn’t hold back with the shit-kicking truth”.

Continue reading →

Creativity and Corporate IT: Plumbers not Artists

06 Monday Oct 2014

Posted by Martyn Jones in Architecture, Best principles, Creativity, Data Warehouse, Dogma, Excellence, Management, Offshoring, Outsourcing, Strategy

≈ 2 Comments

Tags

Behavioural Economics, business strategy, Creativity, IT Strategy, Organisational Autism, Strategy

Like many people around the world I have certain expectations.

When I want some artwork done for a sales campaign, yes, I expect the people that I commission to show a lot of creativity.

When I want to read a novel, go to the theatre or simply chill-out watching a movie, yes, I do expect some degree of creativity.

Continue reading →

Creativity – Three Stories

05 Sunday Oct 2014

Posted by Martyn Jones in Best principles, Creativity, Dogma, Knowledge, Management

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Tags

Behavioural Economics, Business, Business Enablement, Creativity, Dogma, Strategy

Here are three stories that illustrate the connection between creativity and what we do in business. Jacks’ Retail Story, talks about the expansion of retail business; Jill’s Colour Book Story highlights a hugely pervasive tendency, even in these times; and, Martyn’s Summer Story argues that there is a strategic time and place for some things.

Continue reading →

Oh, no! Not again! – Business as usual in Data Warehousing

04 Saturday Oct 2014

Posted by Martyn Jones in Business Intelligence, Dogma, Management, Peeves

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Tags

Behavioural Economics, business intelligence, Demagogism, Dogma, enterprise data warehousing, IT Strategy

I’m in a board room, addressing the assembled bunch of socially challenged IT management and hangers-on.

I explain in simple language how they can and should do Enterprise Data Warehousing iteratively and agilely, and why they should do it that way and not take other approaches. I also explain how to do Business Intelligence, again, both iteratively and agilely.

They, the assembled suits, wring their hands and say “we can’t do it any differently now, we have to deliver everything we promised by September, or we are screwed”.

Continue reading →

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