logo know

From Information to Knowledge, Wisdom


🎭 Summary & Indices Elucidation Foreword 🎭

👐 C-Steer C-Serve C-Shape 👁 I-Data I-Jabes I-Know👐
👐 r-steer r-serve r-shape 👁 r-data r-jabes r-know👐

🔰 Contents Mesh ABCs Control ALC-V* Polestar 🔰
  
🚧  Variety Act on Cyber Change ALC-V* knowtc 🚧
  
🎯 Algol Interact Tenets Change Volatile North 🎯


C-1 Processes & Organisations


C-1.1 Contents

C-1.1.1 Global content
Mindmap start design bpm design math devops meta design data design meta The most technical topics, not ready in their basic nature for operations, are slowly made ready for getting used at operations.

Visions as futurists from the business leaders are not always sensible approaches. Mostly they are stressing hypes.

🔰 Too fast .. previous.
feel_order_02 escher
🎭 C-1.1.2 Guide reading this page
The silver bullet
There is a desire for simple fast solutions for the incomprehensible challenges needing a solution. Instead of analysing and understanding the issues the easy way is to mention new hyping technologies although they are not proven or researched. The circular walk through in this site by topics is broken at the edges. Diagonal connections replaces the normal vertical Zachman lines. When you are hitting this page (r-know) from C-Steer you have followed that tempting wrong path.
The negative approach for organisational issues:
Needed knowledge to read this
Basic knowledge: This page is just a knowledge area, there are no refences to Jabes.
6w 1 how
Practising knowledge on technology
Everybody is watching for new options new ways how to do something. Some approaches are new others are just old ones having got an new look.
The positive approach for organisational issues:
C-1.1.3 Local content
Reference Squad Abbrevation
C-1 Processes & Organisations
C-1.1 Contents contents Contents
C-1.1.1 Global content
C-1.1.2 Guide reading this page
C-1.1.3 Local content
C-1.1.4 Progress
C-1.2 Communication - Interactions knowhr_02 Mesh
C-1.2.1 Communicating Information
C-1.2.2 The technical ICT world
C-1.2.3 Programming languages
C-1.3 Historical evolvements knowhr_03 ABCs
C-1.3.1 Probability distributions
C-1.3.2 Deming principles, out of the crisis
C-1.4 Processing flows VSM - assembly lines knowhr_04 Control
C-1.4.1
C-1.5 Processes Building Blocks Basics knowhr_05 ALC-V*
C-1.5.1 Star Schema, analysing business events
C-1.6 Organisation & Business knowledge knowhr_06 Polestar
C-1.6.1 What is done servicing administrative/cyber technology
C-1.6.2 The end of classic leadership
C-2 Generic knowledge - Challenges 6w1h site
C-2.1 Miscellaneouss Information Technology knowtc_01 Variety
C-2.1.1 Technology understanding Html
C-2.1.2 Technology Responsive Web html
C-2.1.3 Technology Web html Notes
C-2.2 Communication - Interactions knowtc_02 Act on
C-2.2.1 Guide reading these pages, site
C-2.2.2 Presentation Windows Sizing - Positioning
C-2.2.3 Presentation logical setup - Positioning
C-2.3 Historical evolvement ICT knowtc_03 Cyber
C-2.3.1 Computer Technology - decisions algorithms
C-2.3.2 New hyping technologies
C-2.3.3 Computer Technology - decisions algorithms
C-2.3.4 Fraud detection & technology abuse
C-2.4 Processing flows VSM - Change knowtc_04 Change
C-2.4.1 Product management processes
C-2.5 Technical understanding processes knowtc_05 ALC-V*
C-2.5.1
C-2.6 Organisation & Business Understanding knowtc_06 knowtc
C-2.6.1 Retrospective creating this page
C-3 Miscellaneous practical notes
C-3.1 Miscellaneous Practical Knowledge knowdo_01 Algol
C-3.1.1 Distractors from kowledge
C-3.2 Communication - Interactions knowdo_02 Interact
C-3.2.1 Goals feeding decisisons
C-3.3 Historical Practical Evolvement knowdo_03 Tenets
C-3.3.1 Exploding number of frameworkd & tools
C-3.4 Processing flows VSM - Control knowdo_04 Change
C-3.4.1
C-3.5 Processes Building Blocks - Control knowdo_05 Volatile
C-3.5.1
C-3.6 Controlling Organisation & Business knowdo_06 North
C-3.6.1
C-3.6.5 Ongoing to do it

C-1.1.4 Progress
done and currently working on:

Planning to do:

Ai missing ML

C-1.2 Communication - Interactions

Working with machines that process information, is a relative new topic of science. Human communications and interaction is classic.
The concept of the "information" container is not that clear and simple.
Information is an abstract concept that refers to that which has the power to inform. At the most fundamental level, information pertains to the interpretation (perhaps formally) of that which may be sensed, or their abstractions. Any natural process that is not completely random and any observable pattern in any medium can be said to convey some amount of information.
🎭 C-1.2.1 Communicating Information
Generic communication
Mathematics science is not the objective, they are just helpful to achieve organisational goals. What is developed in that area will come down in applications at some moment.
Being practical in some cases is giving "doing your math".
Technical communication
ICT is using a own language that makes it difficult to communicate. There is an intro for understanding common terms choosing options: it-terms Information technology is the study and use of computer systems to store, access, process, and share information. IT professionals design, build, install, and maintain organizations’ hardware and software systems. Whether you’re preparing to earn an IT certification or interview for a new role, studying these technology terms and definitions can help you feel more confident and ready.
🎭 C-1.2.2 The technical ICT world
Data representation.
Information is translated and transformed in many phases. What the intention and meaning is, is needing a common ground. In the world of using computers everything is digitized, assuming just two values 0 and 1 (binary) The size of any measurement is having limits. In the technical approach understanding those is necessary.

nls_eunl1
Characters, National Language support
Morse and the first realisations the 8-bit single byte as basic unit allowing for 256 (0-255) characters. Ebcdic and Ascii two major competitors for the translation of what number to what symbol is intended.
The number of possible symbols was far too low to satisfy everybody. One solution for that is using different code pages. That is the same number can have a different meaning when used in an other location. Transcoding between codepages is loosing information by not having the all of the same symbols.

Base64 is a ay to convert all 256 binary values into 64 common used characters. The goal is avoiding unwanted effects while doing an exact binary copy.
This single byte representation still is often used.

unicode technical Unicode is a different approach, it has abandoned that single byte approach. There are five ways of how to code and there are different versions of the standard. Those different versions is known with the emoticons being added as new ones. Transcoding, converting those numbers to have the correct meaning, is a hidden problem cause. Sometimes the replacement char is shown.
UTF-8, UTF-16, UTF-32 & BOM Basic Unicode tables: A new issue to deal with: not every binary combination is valid!
Data information has to be relasised with the appropiate characterset in use.

nls_afst1
Text, National Language support
It doesn´t stop having the right characters, there are much more conventions that are having language differences. One of those the ordering left to right or right to left.
another important one is the decimal point, instead of a point a comma is often used. Other measures and units also exist.
nls_eugr1 The byte-order mark (BOM) in HTML (w3.org) You can see that the order of the two bytes that represent a single character is reversed for big endian vs. little endian storage. The byte-order mark indicates which order is used, so that applications can immediately decode the content.
nls_chmk1
Dates time, National Language support
iso8601
When dates are represented with numbers they can be interpreted in different ways. For example, 01/05/12 could mean January 5, 2012, or May 1, 2012. On an individual level this uncertainty can be very frustrating, in a business context it can be very expensive.
Organizing meetings and deliveries, writing contracts and buying airplane tickets can be very difficult when the date is unclear. ISO 8601 tackles this uncertainty by setting out an internationally agreed way to represent dates


rekenlineaal
Number Data elements.
Real world numbers are floating numbers, analog with uncertainties. Impossible to implement those in a digital representation only some aspects covered.
An old type, packed decimal, stores two numbers in a single byte. Using the first 10 out of 16 hex values.
⚠ License numbers (cars) and bank account nummbers are NOT number types. They contain other symbols and are not used to calculate a sum or mean.

The 8-bit single byte as basic unit. Unsigned and Signed in two´s complement. EB explanation.
Working with real life numbers is the technical floating representation. It is hardware dependent, not bound to a programming language. IEEE_754 (wikipedia)
⚠ note the limit of 15 (12 are save) decimal digits.
⚠ loss of precision is a cause for surprising not valid results.

feel_geniaal_02 lab
🎭 C-1.2.3 Programming languages
3 GL
Programming machines, computers, isn´t that easy. They are doing exactly what has been instructed to do, even when the intentions are clearly different. With 3 GL languages a lot logic by loop constructs has to be fully coded. The processor object code (assembler) is avoided.

Algol Cobol Fortran Rexx JCL (3gl)
In the anciënt days when computers were far more expensive than the cost of labour to program them, you had to think very well do desktop testing before being allowed to run something.
The design of programs, algorithms, could be very deliciated to get acceptable performance and behaviour.
The language mandatory for use: The goal was solving easy to understand functions in a modular way. The focus on optimizing the business process. With an sequential instruction for the process, the approach with this 3GL´s using program flows. The integration with other modules and programs to achieve a complete system doing in later steps.
The most important part: the business logic.

C, C++ SQL Java HTML bash (3gl)
Most modern programming languages - C, C++, VB, Delphi, Java, Python, and even Perl - use syntax and concepts that originated with the AlgolLanguage. So they´re called AlgolFamily languages.
In an Algol-like language, with semicolons as statement separators, the semicolon is often used as a synchronizing word.
A move has made to focus on the language itself as the solution for solving business problems. That is weird. I would expect the focus to be on the required business logic. Obviously a lot of business are suffering by this. Many are still running Cobol not knowing for sure what and why the programs have been coded that way.

4 GL
With 4 GL languages a standard logic by loop constructs are getting hidden without need to get coded. Smart construct for object attributes wiht defined properties are less or more included

R Python julia SPSS Watson matlab SAS Powershell (4gl)
These are new and older languages.
With these language it self, it is about all those packages (modules) you can use and run. The programming effort decreased but introduced new dependies.
low code approaches. Some new names are Mendix and Outsystems.
Additionally, some CIOs have expressed concern that adopting low-code development platforms internally could lead to an increase in unsupported applications built by shadow IT
For shadow IT:
Some people consider shadow IT an important source of innovation, and such systems may become prototypes for future approved IT solutions. On the other hand, shadow IT solutions are not very often in line with organizational requirements for control, documentation, security, reliability, etc.
Spreadsheets (Excel), powerBI are popular for shadow ICT.
5 GL
With 5 GL approache the programming languages themself are getting hidden by more logic high level constructs.
It is the prmise wiht AI hype this will be more and more being used decreasing the programing efforts.
rethink what has happened TN

C-1.3 Historical evolvements

Information is often processed iteratively: Data available at one step are processed into information to be interpreted and processed at the next step.
For example, in written text each symbol or letter conveys information relevant to the word it is part of, each word conveys information relevant to the phrase it is part of, each phrase conveys information relevant to the sentence it is part of, and so on until at the final step information is interpreted and becomes knowledge in a given domain.

📚 C-1.3.1 Probability distributions
The infamous pareto principle

The infamous pareto principle
Pareto In 1941, management consultant Joseph M. Juran developed the concept in the context of quality control and improvement after reading the works of Italian sociologist and economist Vilfredo Pareto, who wrote in 1906 about the 80/20 connection while teaching at the University of Lausanne.
Mathematically, the 80/20 rule is roughly described by a power law distribution (also known as a Pareto distribution) for a particular set of parameters. Many natural phenomena are distributed according to power law statistics. It is an adage of business management that "80% of sales come from 20% of clients."

Greece explore
Gini unequalness - uneveness
Gini The Gini coefficient was developed by the Italian statistician Corrado Gini and published in his 1912 paper. Building on the work of American economist Max Lorenz, Gini proposed that the difference between the hypothetical straight line depicting perfect equality, and the actual line depicting people's incomes, be used as a measure of inequality.
The Gini coefficient measures the inequality among the values of a frequency distribution, such as levels of income. A Gini coefficient of 0 reflects perfect equality, where all income or wealth values are the same, while a Gini coefficient of 1 (or 100%) reflects maximal inequality among values, a situation where a single individual has all the income while all others have none.

Evolvments on the floor


📚 C-1.3.2 Deming principles, out of the crisis
94 system / 6 other
Systems thinking The System Of Profound Knowledge (SoPK) is the culmination of W. Edwards Deming’s work on management. The four areas of the system are: ..
Taking a systems approach results in management viewing the organization in terms of many internal and external interrelated connections and interactions, as opposed to discrete and independent departments or processes governed by various chains of command. When all the connections and interactions are working together to accomplish a shared aim, a business can achieve tremendous results—from improving the quality of its products and services, to raising the entire esprit de corps of a company.
A system view of the organization views the flow of the processes to create products and services. The interactions between various processes is respected. This is the image Dr. Deming put on the board each day he was providing an overview of management practices to Japan’s leaders in 1950.

deming-org_94-6
See figure:
right side
What are the experiments about? The idea is that the data seen is based on just a stochastic probability event.
💣 Blaming the worker on outcomes by probabilities is bad, very bad.
💣 Trying to modify a probabilistic outcome on just an event will result in worse results.
In short: "a bad system will beat a good person every time."


Greece explore
Lean staffing ➡❌ Lean
This is NOT Lean: Lean Staffing claims to be lean: lean staffing. It is NOT lean! It is an abomination. It is pretty much the opposite of what, in my opinion, lean stands for. It is a complete lack of respect for humanity. Let me explain you what it is, why it is terrible, and how to prevent this. Note that this post may include a rant here and there.
...
There are multiple anecdotal examples where the entire staff just walked out, and the business had to close temporarily or permanently. The word gets around, too, and staffing may become more difficult. There is an internal memo at Amazon where they worry “If we continue business as usual, Amazon will deplete the available labor supply in the US network by 2024.” In other words, they may run out of people to hire by 2024 due to their eye-watering 150% annual turnover rate.


SIAR cycle

C-1.4 Processing flows VSM - assembly lines

A swarm organisation, self organisation, are networked structures without leaderships. Using some shared goal.
⚠ Challenges: have a shared goal, have a good shared goal.
The organisation structure is a hierarchical line of command. Formation in groups using leaders is human nature.
⚠ Challenges: avoiding leaderships going into micro details.
Expected is authority and acountability for a product in place.
😱 Administrative/cyber setting: seems to have got lost.

elephant-blind-men

C-1.5 Processes Building Blocks Basics

The term elephant test refers to situations in which an idea or thing, "is hard to describe, but instantly recognizable when spotted"
A process life cycle building block, ALC life cycle, is very generic en simplistic. There are only three possible approaches.
To solve:
😱 PM: project management is ❌ NOT product management.
😱 ALC life cycles are made complicated by blame games.
🎭 C-1.5.1 Star Schema, analysing business events
7 w-s Lawrence Corr
Processing Information.
When an business process is set up, the major question is on the goal and flow of information. It starts at a high level (conceptual), with the intention to achieve something to use at a presentation for interactions.
 
There are several obvious questions: When, How, Who, Where, Why, What. The sizing, capacity (how many) is hidden.
 
A top down design starts with the questions about information and will search for the best way in presentation(s).
A bottom up design will start with how soemthing is presented and is trying to invent what and how the information should be processed.

Conceptual Information (Back end)
A conceptual schema is a high-level description of informational needs underlying the design of a database. It typically includes only the main concepts and the main relationships among them.

Logical Information (Back end)
A logical data model or logical schema is a data model of a specific problem domain expressed independently of a particular database management product or storage technology (physical data model) but in terms of data structures such as relational tables and columns, object-oriented classes, or XML tags. This is as opposed to a conceptual data model, which describes the semantics of an organization without reference to technology.

Physical Information (Back end)
A logical data model or logical schema is a data model of a specific problem domain expressed independently of a particular database management product or storage technology (physical data model) but in terms of data structures such as relational tables and columns, object-oriented classes, or XML tags. This is as opposed to a conceptual data model, which describes the semantics of an organization without reference to technology.

Beam data storming
Data_model_lawrence Corr Using the 7 w´s for data modeling putting the informations questions from business perspective central has this source of modelstorming.
The technical logical and physical ideas is classic dwh. Aside Data Types (Cn, DTn, DN, Nn.n Tn B) there are Key types, Dimensions Attribute types and Fact types.
Asking with 7W´s how the data should look like for an informational result and asking with 7W´s how the processes should work to achieve goals should work in a generic way.

Dynamic Information (front end)
Online transaction processing systems increasingly require support for transactions that span a network and may include more than one company. For this reason, modern online transaction processing software uses client or server processing and brokering software that allows transactions to run on different computer platforms in a network.

Static & Meta Information
The descriptive information for the dynamic data is not required to build up over and over again. It can have an static layout. It will go along with the life cycle of programs - code.
Presentation (front end)
How the the Static & Meta Information and Dynamic Information is implemented in a Physical way is the delivery act of an information system.


Data monetizing journey

C-1.6 Organisation & Business knowledge

Once Dorothy and her colleagues made the journey to OZ, they quickly found out that there was no there, there. The Wizard simply told her what she really should have known all along.
Dorothy and her companions just had to figure out how to reframe their own perceived shortcomings and recast them as strengths to achieve real transformation.

C-1.6.1 What is done servicing administrative/cyber technology
Epilogue - Operational
Building and / or doing the operational work. Making your mind up how to present all information was the first step. Starting and finding yourself in trouble by the work to be done and still not knowing what is to do for better, time passes.
....
The usual discussions are daily management involvement. There is an elephant in the room, the big boss likes to be bothering with technical details when he is having a problem.
The oversimplified solutions are: The question is how to balance with practical reality and satisfying bosses.
Stand up - collaboration
The daily stand-up
Managing people is an important factor for organisations. Getting aligned how to practice coordination alignment of people at organizations to get things done is the daily way of life.
Knowing what the colleagues are doing is important with a shared goal. The implementation of a daily stand-up can be brought in mandatory.
From the common ground in a technical approach there is something strange going on:
End of the dream of a leadership - quichot.
C-1.6.2 The end of classic leadership
Don Quixote is a leader in a sad setting although his intentions were ethical clear. Cervantes life an interesting story of conflicts in the world. When first published, Don Quixote was usually interpreted as a comic novel.
After the French Revolution, it was better known for its central ethic that individuals can be right while society is quite wrong and seen as disenchanting.
In the 19th century, it was seen as a social commentary, but no one could easily tell "whose side Cervantes was on". Many critics came to view the work as a tragedy in which Don Quixote's idealism and nobility are viewed by the post-chivalric world as insane, and are defeated and rendered useless by common reality.
By the 20th century, the novel had come to occupy a canonical space as one of the foundations of modern literature.

Wat we can learn from this:

🔰 Contents Mesh ABCs Control ALC-V* Polestar 🔰
  
🚧  Variety Act on Cyber Change ALC-V* knowtc 🚧
  
🎯 Algol Interact Tenets Change Volatile North 🎯


C-2 Generic knowledge - Challenges 6w1h site


meandering path

C-2.1 Miscellaneouss Information Technology

The technology using computers has several lines of evolvements. The hardware has become faster, better, cheaper. Application software has a few basic fundaments in logic by flows and constructs. The problem to solve has moved from a pure technical aspect how to run machines into how to process information in a technical way.

C-2.1.1 Technology understanding Html
Website building.
> I am trying to build this site by coding just plain html and css. There are tools helping in coding the html other are generating code using templates.
There are many frameworks like WordPress Magento and interfaces with advanced packages. They all claim to make the work easier.
The choice not going for the most usual and easy approach looks weird, it hurts. The issues are:
cloud link
doing the basics
Disadvantage are: Advantages: Lean manufacturing is achieved by focussing on core requirements and the details that are adding value. Using only that what others are already doing is a difficult competition on doing it cheaper better faster.

Understanding why HTML is combined with CSS
A big conceptual change is done. html css intro
HTML was NEVER intended to contain tags for formatting a web page! HTML was created to describe the content of a web page, like: To solve this problem, the World Wide Web Consortium (W3C) created CSS. CSS removed the style formatting from the HTML page!
This results into:
Chapters
After some trials, I was happy to have three chapters on each page with four separations blocks. Three chapters is aligned with the nine plane. Those three chapters are extended to six. This is a fit for the Zachman philosphy. Surprising also the nine plane in two constellations.
This is a fit for the intended content.
Paragraphs
For human reading paragraphs are shown in a limited width.
A paragaph is filled with content up to a maximum length.
Using six paragraphs at each chapters allows dynamic reordering in different layouts: Each paragraph is having divisions. Ordering the divisions over paragraphs is challenging.
Disadvantage: there is no standard canvas, no standard layout. Hard work to do it in basics.

dual
C-2.1.2 Technology Responsive Web html
Hardware abstraction.
Any application should have as less as possible dependicies on the hardware used. Using a browswer (HTML CSS) the knowledge on viewport is the most important for how to present what there is. Old hardware was limited in the sizing and the performance. Those limitations are changed.

RWD Responsive Web Design
What is Responsive Web Design?

Different type of endpoints, PC, tablet, smartphone
Some links on the technical coding: What was missing once was: Heavy usage of java-script could get more avoided using this.
dual
Presentation, technical CSS.
The abstraction in the presentation html - css has resulted in a requirement for understanding and building the css code. Having a goal of dynamic behavior showing and processing information the css presentation is causing challenges.

Setting text divisions disable flow (css)
The content of min-width is deliverd by the browser. In a wide screen width 3 columns over 2 rows the definition for css attribute clear is:
@media only screen and (min-width: 1290px) and ( max-width: 2760px ) { :root { --divtxt-clr1: both ; --divtxt-clr2: none ; --divtxt-clr3: none ; --divtxt-clr4: both ; --divtxt-clr5: none ; --divtxt-clr6: none ; } ; }
Also six block class definitions with in the order of the six divisions.
div.tx-p%{ clear: var(--divtxt-clr%); }
Viewport, calaculations (css)
A responsive desing calculating the size of elements:
:root { --divtxt-width: calc(100vw /2 - 24px) ;
Paragraph breaking up in segments (html)
Just wanting a clear breakup within a division ( clear:both ), then a css attribute must be used, not html. An easy approach:
<hr class="clear">
Adding this in non floated block elements will solve the height for the borders when used with floated sub elements.

Issues, mistakes, not well understood technology
Having tested validated the technical solutions sometimes behavior in practice is changing or in different browsers doing unexpected things.
A screen locked by a an uninteded loop (refresh rate) or changing charactersets, adjusted borders impacting text flow are frustrating experiences.
That is work to do, just need a plan when there is time doing that.

cloud link
C-2.1.3 Technology Web html Notes
Floating elements and borders
A dynamic layout and dynamic positioning rises questions in the order of processing the lay out. When borders are added ore removed after the positioning of floating elements the positioning itself will change. This is an unsolvable situation. Better is avoiding that ordering question.
Issue overlappng borders A common problem with float-based layouts is that the floats´ container doesn´t want to stretch up to accomodate the floats. If you want to add, say, a border around all floats (ie. a border around the container) you´ll have to command the browsers somehow to stretch up the container all the way.
Syntax & spacing
First, the required and resulting spacing is not always clear. CSS: Calculating a number and doing a substract - 32px and -32px would both look correct. The second one is not doing the calculation, no error/warning.
Imagemaps
I have used that For choosing in a map representing the site structure. The figure self is big (480 reference).
The coords attribute on the imagemap html tag does not support percentages. Percentages would be the way allowing dynamic adjusted content. Approaches are solving it scripted. Someone is mentioning CSS. fora

Video MP4 autoplay
Html-5 is supporting the videa tag, seems easy to implement. Having wondered why it did not autostart on the mobile and it did on the desktop. Than noticed it didn´t start when it is the entry page, only when coming from another page of my onwn pages it start. Uhhh, what is going up? Web pages should not know what has happened before (stateless).
Emoticons not as expected
Html evolution
The language has been extended with many new tags going from version 3 to 5, others tags are depecreated. Some recurring work in redesign en maintenance is required. The biggest change seggregation presentation from static content.

Notes from relocations
Building using an editor the non printables are a challence when hit
Ai missing ML

C-2.2 Communication - Interactions

Working with machines that process information, is a relative new topic of science. Human communications and interaction is classic.
The concept of the "information" container is not that clear and simple.
Information is an abstract concept that refers to that which has the power to inform. At the most fundamental level, information pertains to the interpretation (perhaps formally) of that which may be sensed, or their abstractions. Any natural process that is not completely random and any observable pattern in any medium can be said to convey some amount of information.
Zachman 6W-s no W for which technology
🎭 C-2.2.1 Guide reading these pages, site
Break-up: Logic, Concept, Context
The words Logic, Concept, Context are from the Zachman framework.
In the logic middle there is a switch in understanding for approaches. The same topics are translated into another world.
More easy to understand: More easy for realisations:
Break-up: paragraphs 6w1h
Only three levels are grouped in this, one group for design plan and another for realisations devops. The split in the middle is going up (designg) or going down (devops).
The six paragraphs for each of three chapters are aligned for 5w1h questions and the content for the why. The first three paragraphs are having a different orientation as to the last three.
2,3,4,5 Natural whole numbers
Reading a full wide screen is not feeling very natural. Splitting up in columns is more user friendly. The disadvantage is having those columns longer, needing some scrolling. For ease of dividing in whole numbers the following are practical layouts evenly spread. Options are: The clock is based on 12 (24) hours and subdived in 60 easing all those split ups.
For the number of columns 3 chapters each using 6 paragrpahs is chosen.

🎭 C-2.2.2 Presentation Windows Sizing - Positioning
The content is presented in floating blocks on a page. The layout is done css only with well chosen options. Character size & type, borders margins and colours in a fixed size where others can resize. To my surprise the hardware viewport with small devices is 400px or even smaller. The 25% of that size is not much. leafing very little room for text.
small devices, 6*1 lay outs
small width > For smartphones the best approach. Will work in windowed versions on other devices
medium screen - tablet, 3*2 lay out
medium width On small computers tablets a better presenation.
pc laptop desktop screen, 2*3 lay out
wide width
Extreme wide, 1*6 lay outs
There is no example given. The goal is seeing whether the paragraphs are havin enveness in content.
🎭 C-2.2.3 Presentation logical setup - Positioning
An example for testing
Complexity in several ways.
dual
Presentation logical set up.
Every application has his own set of requirements. Just documenting ordering like written book is very different to an interactive approach using one ore more backends.
Information for reading should noet be to have a great width. Scrolling vertical is the most logical seeing some text having read and new text coming in.

Decison on the number of divisons
For different devices the goal is to have 1 - 2 or 3 blocks of column wise text aside each other. Having a multiple set of 6 is supporting 12 ordered divisions.
Adding an header Footer and navigation for the pages in a repeated standard layout should result in a consistent look & feel.

Fixed and dynamic sizings
Images can be fixed when used to help understand text in a small inline elaboration. When they are over the 240px size they should resize wiht the section and viewport size.
All what has done in recent years will have to be rebuild to get aligned with this.
Analysing a CSS to generate new HTML with inline style code is a bad practice although giving quick results. A new problem is arising. When defining all those CSS classes in a specific in house style, how to align the dynamic generated html code using those classes?
rethink what has happened TN

C-2.3 Historical evolvement ICT

Information is often processed iteratively: Data available at one step are processed into information to be interpreted and processed at the next step.
For example, in written text each symbol or letter conveys information relevant to the word it is part of, each word conveys information relevant to the phrase it is part of, each phrase conveys information relevant to the sentence it is part of, and so on until at the final step information is interpreted and becomes knowledge in a given domain.

📚 C-2.3.1 Computer Technology - decisions algorithms
Pythagoras
The first well known algorithms still referred by this name. It cannot be the oldest way to calculate a surface. Egyptians did that long before these writing and likely others also.
Pythagoras of Samos Pythagoras ho Samios "Pythagoras the Samian", b. about 570 d. about 495 BC was an Ionian Greek philosopher, mathematician, and founder of the religious movement called Pythagoreanism. Most of the information about Pythagoras was written down centuries after he lived, so very little reliable information is known about him.
 decision by hand
Decisions by leaders in ancient history
What was challenged in those time did not need any proof. The judgement was done by the majority being empowered. When the emperor leader as person did not wanted not being personal involved the decision went on other input. The case of Socrates is well described.
 
As easy it was to get condemned just by public opinion sometimes it was evenly easy to get away from anything. At least the logic and paradox questions started. liar paradox
The mistake made by Thomas Fowler (and many other people) above is to think that the negation of "eall Cretans are liars"e is "eall Cretans are honest"e (a paradox) when in fact the negation is "there exists a Cretan who is honest", or "not all Cretans are liars".

under construction
📚 C-2.3.2 New hyping technologies
Supercomputers
supercomputer_38 The fastest greatest EU industry ministers have signed off on a eur 1 billion project to build the world´s fastest computer by 2023 in an effort to compete with China, the US, and Japan. According to the commision, the new initiative is "crucial for the EU´s competitiveness and independence in the data economy."
The article is from 2018, a 5 year plan. It didn´t materialize, replaced by new hypes.
New world-class European supercomputer inaugurated in Spain (12-2023)
Blockchain
blockchain_38 Blockchain is one of the fastest-growing technologies in today´s digital world that have come into the limelight in the last few years. Undoubtedly, we have heard that this technology has revolutionized finance, real estate, and many other sectors. Depending on who you ask, blockchain technology is poised to revolutionize the world — from creating a universal currency to building a free and truly private internet. Or, the new technology, built with a combination of encryption and transparency, is a solution in search of a problem.
... The reality likely falls somewhere in between. While a growing number of startups and researchers are devoting themselves to exploring blockchain´s full potential, experts caution that a healthy dose of skepticism is needed to fully evaluate the technology and its eventual place in society.
... Simply put, a blockchain is a ledger. But unlike an old-time hotel register gathering dust on a counter, a blockchain ledger is held electronically in multiple locations across the internet. It is visible to any member of the community participating in that particular blockchain.

The princeton artikle is from dec 2018. It didn´t got a real follow up. There is bitcoin hype, but some scandal already have happened.
Sam Bankman-Fried Strange enough this resulted not in a breakdown like the Enron scandal. To put in simple I don´t believe in a generated computer number has a financial value by his own. Having alls history in a chain ia a valauble concept in a classic ledger.

Mini boards
Raspberry_38 The RaspberryPi is a series of small single-board computers developed in the United Kingdom by the Raspberry Pi Foundation to promote teaching of basic computer science in schools and in developing countries.
Started as education (2010) it has become real valuable industrial (2024) Rack mount Pi Revolution Pi is an open, modular and inexpensive industrial PC based on the well-known Raspberry Pi. Housed in a slim DIN-rail housing, the three available base modules can be seamlessly expanded by a variety of suitable I/O modules and fieldbus gateways. The miniaturisation enables a lot more for devices.

Drones Robots
Quadcopter_38 Quadcopter_38 In the last few decades, small-scale unmanned aerial vehicles have been used for many applications. The need for aircraft with greater maneuverability and hovering ability has led to a rise in quadcopter research. The four-rotor design allows quadcopters to be relatively simple in design yet highly reliable and maneuverable.
These are getting much attention because becoming profitable in many areas including war.
LLM AI Bots
OPen Ai openai "Safely aligning powerful AI systems is one of the most important unsolved problems for our mission. Techniques like learning from human feedback are helping us get closer, and we are actively researching new techniques to help us fill the gaps."
Altough bots and language were getting much attention there was not a profitable reliable generic solution. This one change the game it is offered for generic usage in the Edge browser.
Implementing bots for replacing human helpdeks is a more differnt difficult topic. Trainging of te models is done at cloud offerings at increasing cost.
Storage
hadoopparquet_38
We created Parquet to make the advantages of compressed, efficient columnar data representation available to any project in the Hadoop ecosystem. Parquet is built from the ground up with complex nested data structures in mind, and uses the record shredding and assembly algorithm described in the Dremel paper. We believe this approach is superior to simple flattening of nested name spaces.

All may be promising but possible not useful in the way they are presented in the very technical first releases.
Blockchain was the promise solving anything in data governance in a way like bitcoin. Maybe is is more useful when using the axioma´s in an other way solving the data governance issues.

📚 C-2.3.3 Computer Technology - decisions algorithms
limited list of technical statistics.
The statistical algorithms are in place for a longer period. They should be well known although inventing them by yourself or understanding their proof of correctness is not that easy. The usage of all this gets hidden in automated tools doing analyses. The easy mistake is by using them incorrectly in wrong assumptions. There are several topics for stats.
Probability theory (wikipedia)
Describing information, dicrimination in distribution type.
Nominal_data
mean
median
the normal (or Gaussian)
Poisson
uniform
Skewness
Kurtosis
chi-squared distribution
F-test
Chebyshev
Regression (wikipedia)
Interpretation of the information description by drawing a line.
Ordinary_least_squares
Weighted_least_squares
Two-stage_least_squares
Nonlinear_least_squares
Logistic_regression
Generalized_linear_models
Least_absolute_deviation
Stepwise_regression
Quantile_regression
Probit_model
Cox_regression
Poisson_regression
Multiple_linear_regression

Anova correlation clustering
Finding artifacts of the same group, using group differences.
MANOVA
General_linear_model
Mixed_model
Post-hoc_analysis
Latin_squares
Time series
Using time -temporal- as the main dimension with something else.
ARIMA
GARCH
Unit_root_test
Cointegration_test
Vector_autoregression
Granger causality

What is done with BI (Business Intelligence) is handing over mainly time series oriented information descriptions to decision makers. Ignored are all the options in a process were time as an axis component is not that important.
There are actually dozens of measures of correlation, similarity and dissimilarity. A partial list includes:
📚 C-2.3.4 Fraud detection & technology abuse
Benford distribution of numbers
With te conditions of real measures the numbers itself are not random.
Benford´s_law
Benford´s law, also called the Newcomb Benford law, the law of anomalous numbers, or the first-digit law, is an observation about the frequency distribution of leading digits in many real-life sets of numerical data. The law states that in many naturally occurring collections of numbers, the leading significant digit is likely to be small.
At retail supermakets there is reason why the 9 is in acces for the announced prices.
How a Simple Misconception can Trip up a Fraudster and How a Savvy CFE Can Spot It (acfe)  
Devil feeling
Dark sides in leader KPI´s
Fame Wealthiness are tempting when in a position to manipulate the prestation figures. Rogue traders
A rogue trader is an employee authorized to make trades on behalf of their employer (subject to certain conditions) who makes unauthorized trades. It is most often applied to financial trading, when rogue professional traders make unapproved financial transactions.
In several cases traders have initially made very large profits for their employers, and bonuses for themselves, from trades in breach of the rules, and it has widely been said that employers turned a blind eye to transgressions due to the profits involved.
Enron repeated in another setting, Wirecard scandal.
SIAR cycle

C-2.4 Processing flows VSM - Change

A swarm organisation, self organisation, are networked structures without leaderships. Using some shared goal.
⚠ Challenges: have a shared goal, have a good shared goal.
The organisation structure is a hierarchical line of command.
📚 Challenges:
C-2.4.1 Product management processes
Administrative/cyber processing similar to a factory
defining decisions
 
💡 The other with this is having an option to ask a question for a smart decision. Knights and Knaves Improving the uncertainty in an option from 50% into one of 100% certaintity is a remarkable lift. The important question is: "What question should be asked?".
Choosing and playing random, or not being random.
Three door problem (wiki) The situation is a brain teaser for the specific conditions into change of chances and proceeding with decisions.
Suppose you're on a game show, and you're given the choice of three doors: Behind one door is a car; behind the others, goats. You pick a door, say No. 1, and the host, who knows what's behind the doors, opens another door, say No. 3, which has a goat. He then says to you, "eDo you want to pick door No. 2?"e Is it to your advantage to switch your choice?
 
The given probabilities depend on specific assumptions about how the host and contestant choose their doors. A key insight is that, under these standard conditions, there is more information about doors 2 and 3 than was available at the beginning of the game when door 1 was chosen by the player: the host's deliberate action adds value to the door he did not choose to eliminate, but not to the one chosen by the contestant originally. Another insight is that switching doors is a different action than choosing between the two remaining doors at random, as the first action uses the previous information and the latter does not. Other possible behaviors than the one described can reveal different additional information, or none at all, and yield different probabilities.
 
felling mislead The problem is a paradox of the veridical type, because the correct choice (that one should switch doors) is so counterintuitive it can seem absurd, but is nevertheless demonstrably true. The Monty Hall problem is mathematically closely related to the earlier Three Prisoners problem and to the much older Bertrand´s box paradox.
The "paradox" is in the probability, after choosing a box at random and withdrawing one coin at random, if that happens to be a gold coin, of the next coin drawn from the same box also being a gold coin. These simple but counterintuitive puzzles are used as a standard example in teaching probability theory. Their solution illustrates some basic principles, including the Kolmogorov axioms.
Good old Monty Hall! Or, All Probability Is Conditional (wmbriggs)
The Monty Hall Problem: A Study (Michael Mitzenmacher) Research Science Institute 1986

Choosing and playing random, or not being random.
Rock-paper-scissors
Rock paper scissors is often used as a fair choosing method between two people, similar to coin flipping, drawing straws, or throwing dice in order to settle a dispute or make an unbiased group decision.
Unlike truly random selection methods, however, rock paper scissors can be played with a degree of skill by recognizing and exploiting non-random behavior in opponents.

elephant-blind-men

C-2.5 Processes Building Blocks Realisations

The term elephant test refers to situations in which an idea or thing, "is hard to describe, but instantly recognizable when spotted"
A process life cycle building block, ALC life cycle, is very generic en simplistic. There are only three possible approaches.
To solve:
😱 Understanding goals, bringing value is hampered by culture.
😱 Technology driven is failing to align to product values streams.
🎭 Q-2.5.1 Process approaches at the shop floor
Fully human, immediate impact: ALC-V1

Data monetizing journey

C-2.6 Organisation & Business Understanding

Once Dorothy and her colleagues made the journey to OZ, they quickly found out that there was no there, there. The Wizard simply told her what she really should have known all along.
Dorothy and her companions just had to figure out how to reframe their own perceived shortcomings and recast them as strengths to achieve real transformation.

🎭 C-2.6.1 Retrospective creating this page
6w 1 how
Why is Jabes interesting?
Everybody is looking for a solution to mange the challenges with information processing.
As far I know there is nothing on the market for solving those challenges holostic. There are many tools for detailed topics, but no one covering all the interactions.

🕳 Categorizing content, start with the why


🔰 Contents Mesh ABCs Control ALC-V* Polestar 🔰
  
🚧  Variety Act on Cyber Change ALC-V* knowtc 🚧
  
🎯 Algol Interact Tenets Change Volatile North 🎯


C-3 Miscellaneous practical notes


meandering path

C-3.1 Miscellaneous Knowledge Wisdom

The technology using computers has several lines of evolvements. The hardware has become faster, better, cheaper. Application software has a few basic fundaments in logic by flows and constructs. The problem to solve has moved from a pure technical aspect how to run machines into how to process information in a technical way.

C-3.1.1 Distractors from kowledge
Frictions positioning - choices
The Technology that is to get in house for improvement and new products is often confused with the technology used at the core business line. Dumping your core business out of the organisation doesn´t make any sense.
Outsourcing product improvement activity vertical (IM) in images:
mindmap_9vlak_2crkl.jpg mindmap_9vlak_3crkl.jpg
2 levels
+ Internal contacts for issues.
- Frictions at external tech support.
+ Better long term continuity.
- Possible missing tech developments.
3 levels
- Every issue is an external order.
+ No frictions external tech support.
- Missing Long term strategy.
-/+ tech development alignment.

dual

Frictions nine plane laysout.


A web page (html) is technical a Latin-1 basic communication protocol. Using extended characters is needing encoding.
Encoding: Using basic representing for other characters
When using multiple programming languages mixed up in a single document, quoting escape sequences are similar.

Frictions positioning - choices
Frictions are growing at point where the flows in relationships voor communication meet each another in a contrary direction. Having big circles wiht al lot of stations in the relationships problems caused by misundertanding confusion and diifferent targets. With a growing number of involved people the size of circle needs adjustments. In pictures where the small circle loops in the horizontals are not drawn:

mindmap_9vlak_2crkv.jpg mindmap_9vlak_3crkv.jpg
2 levels
+ Less frictions but a bigger circle.
- Every friction is more difficult.
+ Hierarchical distance is small.
- more direct involvmentare required.
3 levels
- More frictions in smaller circles.
+ Every friction is less difficult.
- Hierarchical distance increases.
-/+ Direct involments can get avoided..

🤔 Thoughts: The AIM model is used by accountancy firms in advices to implement a dedicated IM (Information Management) vertical staff department. It is the central position in the AIM figure information / tactics. In my mindmap there is no location for a single IM. The idea of an IM is that ICT is too difficult to understand and/or to manage and this new IM staff will solve to burden in management.
💣 Creating the IM vertical staff and not having made clear all the activities are expected to fullfil by them will create a bunch of new challenges while not solving the old ones.
Ai missing ML

C-3.2 Communication - Interactions

Working with machines that process information, is a relative new topic of science. Human communications and interaction is classic.
The concept of the "information" container is not that clear and simple.
Information is an abstract concept that refers to that which has the power to inform. At the most fundamental level, information pertains to the interpretation (perhaps formally) of that which may be sensed, or their abstractions. Any natural process that is not completely random and any observable pattern in any medium can be said to convey some amount of information.
C-3.2.1 Goals feeding decisisons
Push into Pull system
Processing information using ICT is assembling parts of information into new information products. The production orders are (push system): What is missing is those assembly orders is (defining the pull):
Situation Input Action Result
In a figure:
Situation Input Actions Results The product is from left to right (clockwise rounding top). The order of activities is a circular one.
The ordering system and preparations of condition fulfilment is right to left (clockwise rounding bottom).
External preparations are out of order in time in the circular product assembly flow (small bidirectional) . This requires a good plan and preparation to get it starting and keep running.

Numbering in a logical administrative way the corners for processing on the information storage points. The partial process to complete are:
Data Mesh conceps
Data Mesh - opertional plane, analytical plane, infratructure


rethink what has happened TN

C-3.3 Historical Practical Evolvement

Information is often processed iteratively: Data available at one step are processed into information to be interpreted and processed at the next step.
For example, in written text each symbol or letter conveys information relevant to the word it is part of, each word conveys information relevant to the phrase it is part of, each phrase conveys information relevant to the sentence it is part of, and so on until at the final step information is interpreted and becomes knowledge in a given domain.

C-3.3.1 Exploding number of frameworkd & tools
Number of security frameworks
24 Great Cybersecurity Frameworks (Andrey Prozorov, Cybersecurity and Privacy Expert)
The list (12-2023): 2023 Matt Turck mad2023_mattturck
  1. ISO 27001 (ISMS)
  2. ISO 27002 (IS Controls)
  3. Standard of Good Practice for Information Security (ISF SoGP)
  4. NIST Cybersecurity Framework (CSF)
  5. NIST SP 800-53 (Security and Privacy Controls)
  6. CIS Critical Security Controls
  7. PCI DSS
  8. Katakri (Information Security Audit Tool for Authorities)
  9. COBIT Focus Area: Information Security
  10. Information Security Manual (ISM)
  11. New Zealand Information Security Manual (NZISM)
  12. Essential Cybersecurity Controls (ECC)
  13. SAMA Cyber Security Framework
  14. Cyber Essentials (UK)
  15. IT-Grundschutz
  16. CSA Cloud Controls Matrix (CCM)
  17. State of the art (TeleTrusT)
  18. Cybersecurity Capability Maturity Model (C2M2)
  19. CyberFundamentals Framework
  20. ETSI Cybersecurity Standards
  21. HITRUST CSF
  22. Open Information Security Management Maturity Model (O-ISM3)
  23. Secure Controls Framework (SCF)
  24. IEC 62443-2-1 (IACS Security Program)
  25. The Cyber Security Body Of Knowledge (CyBOK)
See also:

Number of big data tools
The 2023 MAD Landscape (Machine Learning, Artificial Intelligence & Data) Matt Turck
It has been less than 18 months since we published our last MAD landscape, and it has been full of drama.
When we left, the data world was booming in the wake of the gigantic Snowflake IPO, with a whole ecosystem of startups organizing around it.
Since then, of course, public markets crashed, a recessionary economy appeared and VC funding dried up. A whole generation of data/AI startups has had to adapt to a new reality.
Meanwhile, the last few months saw the unmistakable, exponential acceleration of Generative AI, with arguably the formation of a new mini-bubble. Beyond technological progress, it feels that AI has gone mainstream, with a broad group of non-technical people around the world now getting to experience its power firsthand.
The rise of data, ML and AI is one of the most fundamental trends in our generation. Its importance goes well beyond the purely technical, with a deep impact on society, politics, geopolitics and ethics.
Yet it is a complicated, technical, and rapidly evolving world that is often confusing even for practitioners in the space. There’s a jungle of acronyms, technologies, products and companies out there that are hard to keep track of, let alone master
2023 Matt Turck mad2023_mattturck
P.O.17344_Assembly_Chalmers.gif
Association to physical manufacturing
The Evolution of Automotive Assembly Line—Part 1
The first cars were assembled long before the moving assembly line was invented. The car was assembled on one spot by a team of builders. Later, this was sometimes called “static assembly,” in contrast with the newer moving assembly lines.
Such static assemblies were usually not very efficient. The workers needed to know many different assembly operations, and hence had quite a learning curve before they could assemble cars well… resulting in many cars that were assembled NOT well (i.e., had quality flaws). Management was complex, as logistics needed to know which part had to go to which car and when. Often, the operators walked away from the car to get the needed parts, wasting time.

SIAR cycle

C-3.4 Processing flows VSM - Control

A swarm organisation, self organisation, are networked structures without leaderships. Using some shared goal.
⚠ Challenges: have a shared goal, have a good shared goal.
The organisation structure is a hierarchical line of command. Group formations using leaders is human nature.
⚠ Challenges: avoiding leadership to micro details, bad goals.
To solve:
😱 Every topic needs improvements proposals for how at each.

C-3.4.1 Defining priority for changes
Hoshin Kanri


elephant-blind-men

C-3.5 Processes Building Blocks - Control

The term elephant test refers to situations in which an idea or thing, "is hard to describe, but instantly recognizable when spotted"
A process life cycle building block, ALC life cycle, is very generic en simplistic. There are only three possible approaches.
To solve:
😱 Aside the basics and realisation control is required.
😱 Communication is made complicated caused by neglectance.
C-3.5.1 Vocubalary gaps functional technical.
⚒ Context confusing: business - cyber technology

Data monetizing journey

C-3.6 Controlling Organisation & Business

Once Dorothy and her colleagues made the journey to OZ, they quickly found out that there was no there, there. The Wizard simply told her what she really should have known all along.
Dorothy and her companions just had to figure out how to reframe their own perceived shortcomings and recast them as strengths to achieve real transformation.

C-3.6.5 Ongoing to do it
Missing link devops meta design bpm design data design meta design math
These are practical data experiences.

technicals - math generic - previous
data, generic toolings 👓 next.



Others are: concepts requirements: 👓
Data Meta Math


🔰 Contents Mesh ABCs Control ALC-V* Polestar 🔰
  
🚧  Variety Act on Cyber Change ALC-V* knowtc 🚧
  
🎯 Algol Interact Tenets Change Volatile North 🎯

© 2012,2020,2024 J.A.Karman
🎭 Summary & Indices Elucidation Foreword 🎭