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Category Archives: Information Supply Framework

How to turn data into knowledge

02 Wednesday Aug 2017

Posted by Martyn Jones in 4th generation Data Warehousing, All Data, Architecture, Big Data, Big Data Analytics, data architecture, Data governance, data management, Data Supply Framework, Data Warehouse, Data Warehousing, Good Strategy, information, Information Management, Information Supply Framework, IT strategy, Knowledge, knowledge management, Marketing, Martyn Jones, Martyn Richard Jones, Sales, structured intellectual capital, wisdom

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Martyn Jones

Zurich, Switzerland – 3rd August 2017

Image2If anyone can turn data into knowledge then that person is me.

Let me explain.

I am a data architecture and management professional. For more than three decades I have been acquiring knowledge and experience in the design and delivery of effective data and solutions architectures for a wide range of projects and in a wide range of (mainly large global or regional) enterprise clients.

Therefore I think I can reasonably presume to have built up quite a good personal body of knowledge when it comes to applied data architecture and management.

As well as being a professional in the management and architecture of data, I have also considerable knowledge and experience in the areas of information management, artificial intelligence and knowledge management (structured intellectual capital).

So, what about turning data or information into knowledge? Continue reading →

Here’s a thought… A Date with Codd

18 Saturday Mar 2017

Posted by Martyn Jones in 4th generation Data Warehousing, All Data, Big Data, Big Data 7s, Big Data Analytics, business strategy, dark data, data architecture, Data governance, Data Lake, data management, Data Mart, data science, Data Supply Framework, Data Warehouse, Data Warehousing, Good Strategy, information, Information Management, Information Supply Framework, IT strategy, pig data, Strategy, The Amazing Big Data Challenge, The Big Data Contrarians

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SBMartyn Richard Jones

Carmarthen 18th March 2017

This is a second collection of snippets; ideas and occurrences that are aimed to provoke critical thought and engagement.

As I stated in the first of these articles, “Most people who know me, at least in a professional capacity, will know that I am no unconditional supporter of Data Warehousing, never mind the more plague ridden swamps inhabited by Big Data, Data Lakes, Travelling IoT, Dodgy Data Science, Instant Data Scientists (just add water) and New-Age Machine Learning. So, many will not be surprised by this heterogeneous post-modern pastiche of ideas, impressions and bagatelles.”

I have extended the original scope of these posts to include any thought on themes of strategy, data, technology, process, business and humanity. Continue reading →

Data Supply Framework 3.0 – ETL Patterns

26 Thursday Jan 2017

Posted by Martyn Jones in 4th generation Data Warehousing, All Data, Big Data, Big Data 7s, Big Data Analytics, business strategy, dark data, data architecture, Data governance, Data Lake, Data Supply Framework, Extract, Good Strategy, goodstart, governance, Information Management, Information Supply Frameowrk, Information Supply Framework, IT strategy, Strategy, The Big Data Contrarians

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Martyn Richard Jones

Mountain View, 22nd January 2015

image3This article is the first in a series of articles that discuss aspects of the use of architectural patterns in the Cambriano Information Supply Framework 3.0

The term architectural pattern may sound grand, misleading or daunting, but it’s really quite a simple concept. It’s like writing a function in a programming language to log in to a database, check that the connection is alive and working and report back the success of the connection request. If that function can be reused either in the same application development, in the same IT shop or in IT in general (e.g. Java code to connect and test the connection to SQL Server) then it’s well on its way to becoming an architectural pattern. Of course, there are much more sophisticated architectural patterns. But generally a pattern is a simplified and generic template for address a generally occurring problem. But as with much in architecture, less usually turns out to be more.

Continue reading →

Big Data is Bullshit – 2017

19 Thursday Jan 2017

Posted by Martyn Jones in 4th generation Data Warehousing, 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, information, Information Management, Information Supply Frameowrk, Information Supply Framework, pig data, The Amazing Big Data Challenge, The Big Data Contrarians

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Marty Richard Jones

Mountain View, 19th January 2017

“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. Continue reading →

Stories from the Data Warehousing front-line

21 Sunday Feb 2016

Posted by Martyn Jones in 4th generation Data Warehousing, Big Data, Big Data 7s, Data Warehouse, Data Warehousing, Good Strat, Good Strategy, goodstart, goodstrat, Information Management, Information Supply Frameowrk, Information Supply Framework, Inmon, Martyn Jones, Martyn Richard Jones, Strategy, The Big Data Contrarians

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NB THIS IS FICTION

All characters appearing in this work are fictitious. Any resemblance to real persons, living or dead, is purely coincidental.

Data warehousing, what is she like?

Although the answers are probably obvious, and to be honest, compared to the Big Data hype-circus this is a walk in the park, I have often wondered why Data Warehousing attracts such a surfeit of lazy, socially inept and shallow-thinking chancers.

I could go on about this at length, about how I convened a meeting recently (held on the outskirts of Bornheim, a small town in Germany ) to discuss how to move rapidly forward with a new strategic data-warehousing project, and how, whilst putting aside the crass impertinence and barely-disguised arrogance of my guests, I was still amazed by the unabashed and brazen snow-job that I was subjected to.

I imagined that this was a deliberate tactic used in the craven hope that I would be overcome by the depth and breadth of their ‘inside knowledge’, and would consent to having my workshop hijacked and reframed

But, I wasn’t having any of that. I know bluff and bluster when I see it, and as a reformed bullshitter I will not willingly accept bullshit from anyone else.

So, as their bullshit came in fast and furious I started making notes, and thinking of the most adequate response that a Project Manager could make in the circumstances, but I soon tired of note taking and was rapidly becoming irritated by a total lack of empathy and an utter lack of engagement.

Irritated as I was, I still tried putting things back on the rails. Therefore, I continued to be as engaging and constructive as one should, whilst internally suppressing the urge to ask ‘what the feck is going on here?’ So, I talked about lifting, shifting and dropping a legacy data warehouse and marts from one box to another – thinking that this would be the minimum that Data Warehouse experts could engage with – and the need to get estimates of the effort required to do so (you know, things like roles and number of days, Big ballpark estimate stuff). The ‘Data Warehouse Architect’ and I use that term loosely, went off on a tangent. Vague, fuzzy and disjointed. The architect threw in some nonsensical vagaries about the need for Master Data Management to be an integral component of any future data warehouse. I half-managed to avoid the incredulous Jeremy Paxman look of ‘what on earth are you talking about?’ just as the gathered augmented the assault on MDM with a call to Information Lifecycle arms. Therefore, when things were becoming even weirder, the weird turned pro, with the train kicked off the tracks, rolled down the hill, and then set on fire, by so-called professionals, passing themselves off as supine yobs, and reciting, in close harmony, “Proof of Concept! Proof of Concept! What about the f****** proof of Concept! Uh? Uh? Uh?”

Well, well, well… what a way to run a dance hall!

We were opening up all technological fronts, apart from the ones that would actually be relevant. I felt like a PG Tips chimp getting bananas and cups of tea thrown in their general direction. I was Martyn, the Project Chimp, plaintively calling out “‘ere mate, do you know this is not the way to do Data Warehousing”, and half-expecting a response along the lines of “you plan it, Son, we’ll muddle along “. I didn’t get a response, all I got was what looked like the human equivalent (if there is such a thing) of a page-fault, a glazing-over of the eyes and a rapid reboot into full-on bullshit mode.

I could go on and on about this all day, but I would rather not. Just the day in the life of a PM tasked with getting sense, sensibility, and work out of profane variations on the theme of Blackadder’s stupid Prince George. “I don’t need Inmon or Kimball, I know data! And… I have been to Ikea!” Sorry, that was just an example of how utterly obtuse things can get on the front-line of Data Warehousing.

So, to close, I would like to pose a question, one that goes beyond Data Warehousing and Big Data. Do people have the same or similar issues in other parts of IT or indeed in other businesses and technical related activities?

Bamberg

22nd September 2012

 

Stories from the Data Warehousing front-line

13 Saturday Feb 2016

Posted by Martyn Jones in 4th generation Data Warehousing, Data governance, data management, Data Supply Framework, Data Warehouse, Data Warehousing, Information Supply Framework

≈ Leave a comment

NB THIS IS FICTION

All characters appearing in this work are fictitious. Any resemblance to real persons, living or dead, is purely coincidental.

Data warehousing, what is she like?

Although the answers are probably obvious, and to be honest, compared to the Big Data hype-circus this is a walk in the park, I have often wondered why Data Warehousing attracts such a surfeit of lazy, socially inept and shallow-thinking chancers.

I could go on about this at length, about how I convened a meeting recently (held on the outskirts of Bornheim, a small town in Germany ) to discuss how to move rapidly forward with a new strategic data-warehousing project, and how, whilst putting aside the crass impertinence and barely-disguised arrogance of my guests, I was still amazed by the unabashed and brazen snow-job that I was subjected to.

I imagined that this was a deliberate tactic used in the craven hope that I would be overcome by the depth and breadth of their ‘inside knowledge’, and would consent to having my workshop hijacked and reframed

But, I wasn’t having any of that. I know bluff and bluster when I see it, and as a reformed bullshitter I will not willingly accept bullshit from anyone else.

So, as their bullshit came in fast and furious I started making notes, and thinking of the most adequate response that a Project Manager could make in the circumstances, but I soon tired of note taking and was rapidly becoming irritated by a total lack of empathy and an utter lack of engagement.

Irritated as I was, I still tried putting things back on the rails. Therefore, I continued to be as engaging and constructive as one should, whilst internally suppressing the urge to ask ‘what the feck is going on here?’ So, I talked about lifting, shifting and dropping a legacy data warehouse and marts from one box to another – thinking that this would be the minimum that Data Warehouse experts could engage with – and the need to get estimates of the effort required to do so (you know, things like roles and number of days, Big ballpark estimate stuff). The ‘Data Warehouse Architect’ and I use that term loosely, went off on a tangent. Vague, fuzzy and disjointed. The architect threw in some nonsensical vagaries about the need for Master Data Management to be an integral component of any future data warehouse. I half-managed to avoid the incredulous Jeremy Paxman look of ‘what on earth are you talking about?’ just as the gathered augmented the assault on MDM with a call to Information Lifecycle arms. Therefore, when things were becoming even weirder, the weird turned pro, with the train kicked off the tracks, rolled down the hill, and then set on fire, by so-called professionals, passing themselves off as supine yobs, and reciting, in close harmony, “Proof of Concept! Proof of Concept! What about the f****** proof of Concept! Uh? Uh? Uh?”

Well, well, well… what a way to run a dance hall!

We were opening up all technological fronts, apart from the ones that would actually be relevant. I felt like a PG Tips chimp getting bananas and cups of tea thrown in their general direction. I was Martyn, the Project Chimp, plaintively calling out “‘ere mate, do you know this is not the way to do Data Warehousing”, and half-expecting a response along the lines of “you plan it, Son, we’ll muddle along “. I didn’t get a response, all I got was what looked like the human equivalent (if there is such a thing) of a page-fault, a glazing-over of the eyes and a rapid reboot into full-on bullshit mode.

I could go on and on about this all day, but I would rather not. Just the day in the life of a PM tasked with getting sense, sensibility, and work out of profane variations on the theme of Blackadder’s stupid Prince George. “I don’t need Inmon or Kimball, I know data! And… I have been to Ikea!” Sorry, that was just an example of how utterly obtuse things can get on the front-line of Data Warehousing.

So, to close, I would like to pose a question, one that goes beyond Data Warehousing and Big Data. Do people have the same or similar issues in other parts of IT or indeed in other businesses and technical related activities?

Bamberg

22nd September 2012

I lied about Big Data! Have an issue?

11 Wednesday Nov 2015

Posted by Martyn Jones in 4th generation Data Warehousing, Big Data, data science, Data Supply Framework, Information Supply Framework, Martyn Jones, statistics

≈ Leave a comment

Tags

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. 

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  • You don’t need a data warehouse to do data warehousing March 22, 2023
  • Data Warehousing means having thousands of ETL jobs March 21, 2023
  • The data warehouse is the repository for the post-transactional data March 20, 2023
  • Does your way of providing data have business value? March 19, 2023
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  • Data Trailblazers: 2022 Vision January 2, 2022
  • Tea with The Data Contrarian: Afilonius Rex December 10, 2021
  • Reality Check: Data Mesh and Data Warehousing   December 5, 2021
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  • Heaven help us! Have you seen the latest Virtual Data Warehouse bullshit? June 26, 2020

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