It also about the importance of decimating of information in the facts or twisted statistics in is based on i’m looking at you pharmaceutical industry , food, industry an government b
In 2020 I weighed almost 300 pounds. I now weigh 175
2020. I took many medications, take none.
In 2019 I begin to understand and research nutrition with Vic ,my daughter).and reconnected with my best friend Jordan
I am a Data Governance, consultant and very experienced in the difference between information and data I also work in intelligence  and data science
However, slowly, but my health has returned
2014. I had a Stroke I mostly recovered.
However, this is about Polyneuropathy of voice and balance, it’s the bodies natural reaction to change and adaption
I lost over 50% of my body weight and I can barely speak and balance. This is normal and counter intuitive.
My speech and balance can be healed however, that will take me several years
I am posting this because I don’t feel many don’t realize how the body and brain works.
This is not intuitive. I would think I’m getting worse however I am really getting much much better.
Seems kind interior but I would not trade the way I can take now for speech or balance
Of course my daughter Victoria started me on his journey and supported me all the way
Bottom line is while. This is about health and nutrition. It’s also about stroke recovery and the importance and change that nutrition can. Bring
The discussion heated up, and the two decided to submit ohim to arbitration, and for this they went before the lion, the King of the Jungle.
Already before reaching the forest clearing, where the lion was sitting on his throne, the donkey began to shout:
“His Highness, is it true that the grass is blue?”.
The lion replied:
“True, the grass is blue.”
The donkey hurried and continued:
“The tiger disagrees with me and contradicts and annoys me, please punish him.”
The king then declared:
“The tiger will be punished with 5 years of silence.”
The donkey jumped cheerfully and went on his way, content and repeating:
“The Grass Is Blue”…
The tiger accepted his punishment, but before he asked the lion:
“Your Majesty, why have you punished me?, after all, the grass is green.”
The lion replied:
“In fact, the grass is green.”
The tiger asked:
“So why are you punishing me?”.
The lion replied:
“That has nothing to do with the question of whether the grass is blue or green.
The punishment is because it is not possible for a brave and intelligent creature like you to waste time arguing with a donkey, and on top of that come and bother me with that question.”
The worst waste of time is arguing with the fool and fanatic who does not care about truth or reality, but only the victory of his beliefs and illusions. Never waste time on arguments that don’t make sense…
There are people who, no matter how much evidence and evidence we present to them, are not in the capacity to understand, and others are blinded by ego, hatred and resentment, and all they want is to be right even if they are not.
When ignorance screams, intelligence is silent. Your peace and quietness are worth more. 🤎
With increased knowledge, frankly, you can, reuse, and leverage, train AI with data you already have however, the most important essay is was and will be Quality, fact. And you don’t need to purchase special proprietary, IP or vendor programs to take advantage. Do you need it to be untangled explain in the mystify it’s not marketing crap it’s the real world
You have the foundation for AI already in your ability, you may not know broadly that is AI is solely based on data, standardization, profiling, quality in essence, statistics because that’s what makes information , we already have it and more importantly, it can be accomplished by your own developers or regular consultant, contractors, contractors.
It’s only the AI algorithm and algorithms that you may need some guidance and use open source. More importantly, even if you decide to buy a proprietary AI model, there are numerous open source models that you can build or prototype making sure you have the correct information, data assumptions and Hokies bill to make a meaningful model.
“You get what you inspect, not what you expect” There are many skilled people and resources that can build and validate the foundation for your Company without knowing much about in the beginning stages, the emphasis should be on business requirements and data quality before anything else weather Data Governance or AI.
It’s the same it’s start with understanding your own information or data. AI the Data quality principles that we used are still the same and they hold.
I will be posting and scheduling a free brief webinar to hopefully demystify this going forward. AI is a evolution is not revolution there’s no magic. although I will add that one major impact of AI is it can used in and reducing the cost and time for data governance and data stewardship
3 Minute AI School Bytes Episode 2 Minute AI School Bytes Episode 2Hi Artificial intelligence , define correlation or causation , a very important difference Artificial intelligence stems from a concept invented by Alan Turing during his work with The Bomb , an early computer , in World War II. Needless to say, there are many aspects of today’s AI. However, most of them are driven by various features and math formulas. Ultimately, I mean data fields ,are the primary drivers of AI and the concept of correlation or causation . In essence, they are represented in the graph by a line pointing upward or down a trend , if you involve two features , let’s say, in the same general direction of the other arrow, and, there is another arrow adjacent to it in the same general direction up or down that can be interpreted either as correlation or causation, This is important in all fields , meaning that just because two things are happening and going in the same direction , or trend , they are correlated, but it’s does not mean one is causing the other , this is critical to understand , as a sidenote we have made this mistake in history and science many times.
Of course this is another reason to base your science on standardized verified , human curated, information not just raw data ,or data, manipulated by algorithms to make them, conform to a model usable by AI. As you see from the diagram , including melting ice cream, it’s not the cause of a sunburn it is simply correlated.
I don’t want to bother you, however, I’d like to give you some info new to me and a recent surprising discovery.
In no way, I don’t mean this to be TMI however, you should know what you can find out yourself
Health update, 9 years post stroke after losing extreme amount of weight and changing my diet. On June 3, 2014 I had a brain stem stroke(PONS). Apparently I’m still alive
I’ve posted some Of this on Facebook, i’d like to add some more findings, discoveries and changes in my life. Let me say unequivocally there have been two women in my life with me life that are at the center the first my wife, Teresa Krebs and of course, my daughter, Victoria Stasiewicz
My wife Theresa passed several years ago, and I’d have reconciled that event However, since then there has been some fantastic news and surprising in some new challenges. Due to the stroke and my health improvement and, of course, Victoria
In the time I spent with my daughter and son-in-law in their home, my daughter gave a presentation regarding self governance for Health. This would come to be be a turning point in my life
The main premise is that with today’s tools and health devices, we can monitor our health very scientifically and accurately without a doctors intervention, or interpretation The conditions I suffered from were due to the food I ate and my lifestyle, no, DNA. It was not destined to happen I caused them, hence self governance. – Health..
Following Victoria‘s advice and counsel I am in very good health now. I have metabolic readings of it again that took myself, I can see for myself
I have lost over 100 pounds in the last 2 years. I didn’t go on extreme diet I just ate whole natural foods an actual proper human diet ,based on my daughters advice. In addition to that my blood pressure condition and diabetes2 went away, my eyeball shots and everything elsewent away in general. My health has now completely back to normal .
I have embraced her proposal, and would like to outline the results following
In addition when I started 280 pounds almost 300 I had high blood pressure, I had retinopathy in both eyes requiring two shots in each eye every six weeks I had early stage, kidney disease, and all the other medical problems associated
Also, I took several medication every day for these conditions of Cours Dan last two years no medication’s at alli
Along this journey, I’ve also done thousands of hours of research, and like many millions of folks, I have discovered, and proven that Victoria‘s advice was perfect and well thought out
No for “the rest of the story“ I am currently dealing with balance issues and speech issues basically, my brain did a reset because of the drastic changes in my health for the better frankly due to Neuro plasticity, I will recover it is important to realize the doctors will believe my condition is worse that is farthest from the truth, it is much I realize it’s with their training, It is ananomaly my losing weight and regaining health. I even had one doc say it was probably Cachexia – Muscle wasting However, it is not my blood work is fine is that they have not seen this as a result of the stroke rather not a person wanting to improve their health hallucinate
It took me a while to research that, but what is surprising is that they are both good news
Both caused by a conditions,known as stroke decomposition and vestibular dizziness
I suffered a stroke in 2014 right Pons Brain stem stroke my brain adapted with neural plasticity over last 10 years and I adapted to my disabilities, although I was continuing to degrade my health and weight through improper nutrition
Basically, I’ve confused my brain because it was used to that I weighed over 260 pounds. I know weigh 148 pounds. Hence, I have some balance and speech issues due to stroke, decomposition, and Vestaview dizziness
I am writing this, only to let people know that our current medical professionals are not equipped to treat us. Losing this much weight while, surviving from a stroke has it complications
This is not me getting worse. This is me getting better. Through Neuro plasticity my brain will adapt normally.
One very positive result is a now thinking and working like I did 20 years ago and incredible impact on my health has been the returning logical thinking . There are more results to eating real Whole Foods, then you realize As of two years ago, I eat only natural food
of course no sugar or alcohol or any processed food The reality is, it’s not worth it Perhaps if I would’ve known, I paid tension to the real Risk no the relative rest to Ted to see this with marketing and pharmaceuticals I would know how to continue obviously no amount of sugar, processed food or alcohol is worth stroke
There is much more to my learnings
. I would leave you with that. I’m still working as a data, governance consultant and writing books, and the improvement in my ability to think and cognition is incredible. There are many more benefits that come from Self governance– Health which I will outline in the future7 let me just say that in today’s society, there is a huge difference between “follow the science“ and real truth more important facts What Victoria has told me that today’s science, his interpretation by doctors with Me and will change overtime. However, you can see your own results make your own injections at least understand what you’re seeing versus just believe, having faith is important, but equally it is important to “trust, but verify”
That’s it right now. Thank you. Obviously, I will be going to the doctors but I will know what to expect. you get with you Inspect not what you expect and finally, obviously, the people closest to you and your life’s journey really matter
One more thing to harking back to my penis inside a video and the bases level. All of this is about extending an evolving business intelligence to artificial intelligence answer around the corner to Christian.
It starts with try again and loads and work hard we turn those word bird into actual words information to Jax Guy then within senses transformers we didn’t contact you at the senses within contact jassar‘s annual net any outcome is presented based on information and Maddie we are using better functions N maverick give availability develop in the last decade but can certainly still the same
In essence gun, that shoots is, it’s all about the information value chain
I’d would like to discuss the information, value chain and how we interpret information. However since your here and, we have time , we don’t make decisions based on data or transactions we make decisions based on information, which is in essence thru visualization and trends,, which is the result of calculations, summarizations visualization of a tremendous volume of data.
It is an is important distinguish between data and information. our perception of reality and the information we make decisions on is based on, whether or not it is accurate. Information, quality or scoring often determine how far we would go. We don’t look at the detail, we don’t want to or can’t comprehend or understand, the detail of the information we want to understand trends that will lead us to decisions to change the trends. In the next article we will examine a client I had, and which I took this journey with much detail however, the focuses on high-level impactful decision
The Takeaway is that you need to understand causality not correlation you need to understand why things happen in essence. I in brutal honesty, which is that you understand what things you can change vs thing you can’t change how you gonna affect your future reaching your goal. We will be exploring this in detail step-by-step.
The challenge for businesses is to seek answers to questions, they do this with Metrics (KPI’s) and know the relationships of the data, organized by logical categories(dimensions) that make up the result or answer to the question. This is what constitutes the Information Value Chain
Navigation
Let’s assume that you have a business problem, a business question that needs answers and you need to know the details of the data related to the business question.
Information Value Chain
Business is based on Concepts.
People thinks in terms of Concepts.
Concepts come from Knowledge.
Knowledge comes from Information.
Information comes from Formulas.
Formulas determine Information relationships based on quantities.
Quantities come from Data.
Data physically exist.
In today’s fast-paced high-tech business world this basic navigation (drill thru) business concept is fundamental and seems to be overlooked, in the zeal to embrace modern technology
In our quest to embrace fresh technological capabilities, a business must realize you can only truly discover new insights when you can validate them against your business model or your businesses Information Value Chain, that is currently creating your information or results.
Today data needs to be deciphered into information in order to apply formulas to determine relationships and validate concepts, in real time.
We are inundated with technical innovations and concepts it’s important to note that business is driving these changes not necessarily technology
Business is constantly striving for a better insights, better information and increased automation as well as the lower cost while doing these things several of these were examined
Historically though these changes were few and far between however innovation in hardware storage(technology) as well as software and compute innovations have led to a rapid unveiling of newer concepts as well as new technologies
Demystifying the path forward.
In this article we’re going to review the basic principles of information governance required for a business measure their performance. As well as explore some of the connections to some of these new technological concepts for lowering cost
To a large degree I think we’re going to find that why we do things has not changed significantly it’s just how, we know have different ways to do them.
It’s important while embracing new technology to keep in mind that some of the basic concepts, ideas, goals on how to properly structure and run a business have not changed even though many more insights and much more information and data is now available.
My point is in the implementing these technological advances could be worthless to the business and maybe even destructive, unless they are associated with a actual set of Business Information Goals(Measurements KPI’s) and they are linked directly with understandable Business deliverables.
And moreover prior to even considering or engaging a data science or attempt data mining you should organize your datasets capturing the relationships and apply a “scoring” or “ranking” process and be able to relate them to your business information model or Information Value Chain, with the concept of quality applied real time.
The foundation for a business to navigate their Information Value Chain is an underlying Information Architecture. An Information Architecture typically, involves a model or concept of information that is used and applied to activities which require explicit details of complex information systems.
Subsequently a data management and databases are required, they form the foundation of your Information Value Chain, to bring this back to the Business Goal. Let’s take a quick look at the difference between relational database technology and graph technology as a part of emerging big data capabilities.
However, considering the timeframe for database technology evolution, has is introduced a cultural aspect of implementing new technology changes, basically resistance to change. Business that are running there current operations with technology and people form the 80s and 90s have a different perception of a solution then folks from the 2000s.
Therefore, in this case regarding a technical solution “perception is not reality awarement is”. Business need to find ways to bridge the knowledge gap and increase awarement that simply embracing new technology will not fundamentally change the why a business is operates , however it will affect how.
Relational databases were introduced in 1970, and graph database technology was introduced in the mid to 2000
There are many topics included in the current Big Data concept to analyze, however the foundation is the Information Architecture, and the databases utilized to implement it.
There were some other advancements in database technology in between also however let’s focus on these two
History
1970
In a 1970s relational database, Based on mathematical Set theory, you could pre-define the relationship of tabular (tables) , implement them in a hardened structure, then query them by manually joining the tables thru physically naming attributes and gain much better insight than previous database technology however if you needed a new relationship it would require manual effort and then migration of old to new , In addition your answer it was only good as the hard coding query created
2020
In mid-2000’s the graph database was introduced , based on graph theory, that defines the relationships as tuples containing nodes and edges. Graphs represent things and relationships events describes connections between things, which makes it an ideal fit for a navigating relationship. Unlike conventional table-oriented databases, graph databases (for example Neo4J, Neptune) represent entities and relationships between them. New relationships can be discovered and added easily and without migration, basically much less manual effort.
Nodes and Edges
Graphs are made up of ‘nodes’ and ‘edges’. A node represents a ‘thing’ and an edge represents a connection between two ‘things’. The ‘thing’ in question might be a tangible object, such as an instance of an article, or a concept such as a subject area. A node can have properties (e.g. title, publication date). An edge can have a type, for example to indicate what kind of relationship the edge represents.
Takeaway.
The takeaway there are many spokes on the cultural wheel, in a business today, encompassing business acumen, technology acumen and information relationships and raw data knowledge and while they are all equally critical to success, the absolute critical step is that the logical business model defined as the Information Value Chain is maintained and enhanced.
It is a given that all business desire to lower cost and gain insight into information, it is imperative that a business maintain and improve their ability to provide accurate information that can be audited and traceable and navigate the Information Value Chain Data Science can only be achieved after a business fully understand their existing Information Architecture and strive to maintain it.
Note as I stated above an Information Architecture is not your Enterprise Architecture or even Data Architecture Information Relationships it is the hierarchical design of shared information environments; the art and science of organizing and labelling gGossary terms, transactions to support usability and findability; in an emerging community of practice focused on bringing principles of design, architecture and information science to the digital landscape. Typically, it involves a model or concept of information that is used and applied to activities which require explicit details of complex information systems.
In essence, a business needs a Rosetta stone in order translate past, current and future results.
Rosetta Stone
In future articles we’re going to explore and dive into how these new technologies can be utilized and more importantly how they relate to all the technologies.
The challenge for businesses is to seek answers to questions, they do this with Metrics (KPI’s) and know the relationships of the data, organized by logical categories(dimensions) that make up the result or answer to the question. This is what constitutes the Information Value Chain
Navigation
Let’s assume that you have a business problem, a business question that needs answers and you need to know the details of the data related to the business question.
Information Value Chain
Information Value Chain
Business is based on Concepts.
People thinks in terms of Concepts.
Concepts come from Knowledge.
Knowledge comes from Information.
Information comes from Formulas.
Formulas determine Information relationships based on quantities.
Quantities come from Data.
Data physically exist.
In today’s fast-paced high-tech business world this basic navigation (drill thru) business concept is fundamental and seems to be overlooked, in the zeal to embrace modern technology
In our quest to embrace fresh technological capabilities, a business must realize you can only truly discover new insights when you can validate them against your business model or your businesses Information Value Chain, that is currently creating your information or results.
Today data needs to be deciphered into information in order to apply formulas to determine relationships and validate concepts, in real time.
We are inundated with technical innovations and concepts it’s important to note that business is driving these changes not necessarily technology
Business is constantly striving for a better insights, better information and increased automation as well as the lower cost while doing these things several of these were examined and John Thuma’s‘ latest article
Historically though these changes were few and far between however innovation in hardware storage(technology) as well as software and compute innovations have led to a rapid unveiling of newer concepts as well as new technologies
Demystifying the path forward.
In this article we’re going to review the basic principles of information governance required for a business measure their performance. As well as explore some of the connections to some of these new technological concepts for lowering cost
To a large degree I think we’re going to find that why we do things has not changed significantly it’s just how, we know have different ways to do them.
It’s important while embracing new technology to keep in mind that some of the basic concepts, ideas, goals on how to properly structure and run a business have not changed even though many more insights and much more information and data is now available.
My point is in the implementing these technological advances could be worthless to the business and maybe even destructive, unless they are associated with a actual set of Business Information Goals(Measurements KPI’s) and they are linked directly with understandable Business deliverables.
And moreover prior to even considering or engaging a data science or attempt data mining you should organize your datasets capturing the relationships and apply a “scoring” or “ranking” process and be able to relate them to your business information model or Information Value Chain, with the concept of quality applied real time.
The foundation for a business to navigate their Information Value Chain is an underlying Information Architecture. An Information Architecture typically, involves a model or concept of information that is used and applied to activities which require explicit details of complex information systems.
Subsequently a data management and databases are required, they form the foundation of your Information Value Chain, to bring this back to the Business Goal. Let’s take a quick look at the difference between relational database technology and graph technology as a part of emerging big data capabilities.
However, considering the timeframe for database technology evolution, has is introduced a cultural aspect of implementing new technology changes, basically resistance to change. Business that are running there current operations with technology and people form the 80s and 90s have a different perception of a solution then folks from the 2000s.
Therefore, in this case regarding a technical solution “perception is not reality”, awarement is. Business need to find ways to bridge the knowledge gap and increase awarement that simply embracing new technology will not fundamentally change the why a business is operates , however it will affect how.
Relational databases were introduced in 1970, and graph database technology was introduced in the mid to 2000
There are many topics included in the current Big Data concept to analyze, however the foundation is the Information Architecture, and the databases utilized to implement it.
There were some other advancements in database technology in between also however let’s focus on these two
History
1970
In a 1970s relational database, Based on mathematical Set theory, you could pre-define the relationship of tabular (tables) , implement them in a hardened structure, then query them by manually joining the tables thru physically naming attributes and gain much better insight than previous database technology however if you needed a new relationship it would require manual effort and then migration of old to new , In addition your answer it was only good as the hard coding query created
2020
In mid-2000’s the graph database was introduced , based on graph theory, that defines the relationships as tuples containing nodes and edges. Graphs represent things and relationships events describes connections between things, which makes it an ideal fit for a navigating relationship. Unlike conventional table-oriented databases, graph databases (for example Neo4J, Neptune) represent entities and relationships between them. New relationships can be discovered and added easily and without migration, basically much less manual effort.
Nodes and Edges
Graphs are made up of ‘nodes’ and ‘edges’. A node represents a ‘thing’ and an edge represents a connection between two ‘things’. The ‘thing’ in question might be a tangible object, such as an instance of an article, or a concept such as a subject area. A node can have properties (e.g. title, publication date). An edge can have a type, for example to indicate what kind of relationship the edge represents.
Takeaway.
The takeaway there are many spokes on the cultural wheel, in a business today, encompassing business acumen, technology acumen and information relationships and raw data knowledge and while they are all equally critical to success, the absolute critical step is that the logical business model defined as the Information Value Chain is maintained and enhanced.
It is a given that all business desire to lower cost and gain insight into information, it is imperative that a business maintain and improve their ability to provide accurate information that can be audited and traceable and navigate the Information Value Chain Data Science can only be achieved after a business fully understand their existing Information Architecture and strive to maintain it.
Note as I stated above an Information Architecture is not your Enterprise Architecture. Information architecture is the structural design of shared information environments; the art and science of organizing and labelling websites, intranets, online communities and software to support usability and findability; and an emerging community of practice focused on bringing principles of design, architecture and information science to the digital landscape. Typically, it involves a model or concept of information that is used and applied to activities which require explicit details of complex information systems.
In essence, a business needs a Rosetta stone in order translate past, current and future results.
In future articles we’re going to explore and dive into how these new technologies can be utilized and more importantly how they relate to all the technologies.
I was heavily involved in business intelligence, data warehousing and data governance as of several years ago and recently have had many chaotic personal challenges, upon returning to professional practice I have discovered things have not changed that much in 10 yearsagovernance The methodologies and approaches are still relatively consistent however the tools and techniques have changed and In my opinion not for the better, without focusing on specific tools I’ve observed that the core to data or MDM is enabling and providing a capability for classifying data into business categories or nomenclature.. and it has really not improved.
This basic traditional approach has not changed, in essence man AI model predicst a Metric and is wholly based on the integrity of its features or Dimensions.
Therefore I decided, to update some of the techniques and code patterns, I’ve used in the past regarding the information value chain and or record linkage , and we are going to make the results available with associated business and code examples initially with SQL Server and data bricks plus python
My good friend, Jordan Martz of DataMartz fame has greatly contrinuted to this old mans BigData enlightenment as well as Craig Campbell in updating some of the basic classification capabilities required and critical for data governance. If you would like a more detailed version of the source as well as the test data, please send me an email at iwhiteside@msn.com. Stay tuned for more update and soon we will add Neural Network capability for additional automation of “Governance Type” automated classification and confidence monitoring.
Before we focus on functionality let’s focus on methodology
Initially understand key metrics to be measured/KPI‘s their formulas and of course teh businesse’s expectation of their calculations
Immediately gather file sources and complete profiling as specified in my original article found here
Implementing the processes in my meta-data mart article would provide numerous statistics regarding integers or float field however there are some special considerations for text fields or smart codes
Before beginning classification you would employ similarity matching or fuzzy matching as described here
As I said I posted the code for this process on SQL Server Central 10 years ago here is s Python Version.
databricks-logo Roll You Own – Python Jaro_Winkler(Python)
databricks-logoroll You Own – Python Jaro_Winkler(Python) Import Notebook Step 1a – import pandas import pandas
Step 2 – Import Libraries
libraries from pyspark.sql.functions import input_file_name
from pyspark.sql.types import * import datetime, time, re, os, pandas
ML Libraires
from pyspark.ml.feature import RegexTokenizer, StopWordsRemover, NGram, HashingTF, IDF, Word2Vec, Normalizer, Imputer, VectorAssembler from pyspark.ml import Pipeline
import mlflow
from mlflow.tracking import MLFlowClient
from sklearn.cluster import KMeans import numpy as np Step 3 – Test JaroWinkler
while (iCounter <= len_str2): df=pandas.DataFrame([[iCounter,0]], columns=column_names) df_temp_table2=pandas.concat([df_temp_table2,df], ignore_index=True) iCounter=iCounter+1
iCounter=1 m=round((max_len/2)-1,0) i=1
while(i <= len_str1): a1=str1_in[i-1]
if m >= i:
f=1
z=i+m
else:
f=i-m
z=i+m
if z > max_len:
z=max_len
while (f <= z):
a2=str2_in[int(f-1)]
if(a2==a1 and df_temp_table2.loc[f-1].at['FStatus']==0):
common = common + 1
df_temp_table1.at[i-1,'FStatus']=1
df_temp_table2.at[f-1,'FStatus']=1
break
f=f+1
i=i+1
%sql DROP TABLE IF EXISTS NameAssociative; CREATE TABLE NameAssociative;
SELECT Name ,NameInput
,sha2(replace ( NameLookput,’%[^a-Z0-9, ]%’,’ ‘) , 256) as NameLookupCeaned ,a.NameLookupKey ,sha2(replace( NameInput,’%[^a-Z0-9, ]%’,’ ‘) , 256) as NameInput,b.NameInputKey ,JaroWinkler(a.NameLookup, b.NameInput) MatchScor ,RANK() OVER (Partition by a.DetailedBUMaster ORDER BY JaroWinkler(a.NameLookupCleande, b.NameInputCleaned) DESC) NameLookup,b.NameLookupKey FROM NameInput as a CROSS JOIN NameLookup as b
Ira Whiteside / Jordan Martz / Victoria Stasiewicz
Advanced Matching for Business Categories(Terms) to Technical Artifacts(Data) in Relation to Master Data Management Governance and or Feature Engineering in Artificial Intelligence Modeling preparation.
We will be covering a top down(Business) and bottoms up Business driven methodology and tactical capabilities to the critical issue of associating Business categories/ dimensions to each other and subsequently transactions. We will include templates and code (Python/SQL/Databricks,etc…)….
My journey to better health and the rest of my life, MINUS ==== 85 pounds, eyeball shots(needles), blood pressure meds, diabetes , they are all gone.
Pre VictoriaPOSTVictoria
The ending and the beginning
It’s August 27, 2020 I’m 66 years old, and in very bad health.. My wonderful wife Tessie, passed away last night surrounded by her daughters and her grandchild. I’m contemplating where to go from here I weigh 280 pounds, I get Avastin shots in my eyes every six weeks, I take blood pressure medications, I take cholesterol medication walking is very difficult , I walk with a cane(BubbaStik). I’ve have Diabetes Type II had two strokes, I get severe IBS(Irratible Bowel Syndrome) attacks. I am still working , barely, Brandon and Victoria graciously take me in their home.
The beginning
In the beginning I started by just eating what Victoria ate meat, fish, salad, low carb. Obviously I was very depressed.
Holy shit
I realize I lost 20 pounds in three months. I get laid off from work.
Really
With Brandon and Vics encouragement I start a new consulting business.
I realize I’ve lost 75 pounds in six months
PERCEPTION is not reality, AWAREMENT is reality. More on our understanding on food and the dangers of following the food pyramid recommendations
I did not go on a diet my daughter has an approach to nutrition, Victoria’s Self Governance for health. I began to study nutrition with Vic deeper and started eating more whole foods, UNPROCESSED meat, fat, and still some vegetables what I would consider normal human food than 10,000 years ago, I didn’t count or measure anything.
Perception vs. reality
I have researched nutrition extensively and have realized that the current food pyramid guidelines are ass backwards and inverted. I will lay out the details in a later post.
Acceptance
What now. I have started a new consulting business, Brandon and Vic , my grandaughter Julia and best friend Jordan. Vic and Brandon got me a racing Terratrike , and I am moving in an apartment. We’ll see where we go from here.
Note: Yes I still drink Red Wine – Coppolla Claret
The challenge for businesses is to seek answers to questions, they do this with Metrics (KPI’s) and know the relationships of the data, organized by logical categories(dimensions) that make up the result or answer to the question. This is what constitutes the Information Value Chain
Navigation
Let’s assume that you have a business problem, a business question that needs answers and you need to know the details of the data related to the business question.
Information Value Chain
Information Value Chain
Information Value Chain
• Business is based on Concepts.
• People thinks in terms of Concepts.
• Concepts come from Knowledge.
• Knowledge comes from Information.
• Information comes from Formulas.
• Formulas determine Information relationships based on quantities.
• Quantities come from Data.
• Data physically exist.
In today’s fast-paced high-tech business world this basic navigation (drill thru) business concept is fundamental and seems to be overlooked, in the zeal to embrace modern technology
In our quest to embrace fresh technological capabilities, a business must realize you can only truly discover new insights when you can validate them against your business model or your businesses Information Value Chain, that is currently creating your information or results.
Today data needs to be deciphered into information in order to apply formulas to determine relationships and validate concepts, in real time.
We are inundated with technical innovations and concepts it’s important to note that business is driving these changes not necessarily technology
Business is constantly striving for a better insights, better information and increased automation as well as the lower cost while doing these things several of these were examined and John Thuma’s‘ latest article
Historically though these changes were few and far between however innovation in hardware storage(technology) as well as software and compute innovations have led to a rapid unveiling of newer concepts as well as new technologies
Demystifying the path forward.
In this article we’re going to review the basic principles of information governance required for a business measure their performance. As well as explore some of the connections to some of these new technological concepts for lowering cost
To a large degree I think we’re going to find that why we do things has not changed significantly it’s just how, we now have different ways to do them.
It’s important while embracing new technology to keep in mind that some of the basic concepts, ideas, goals on how to properly structure and run a business have not changed even though many more insights and much more information and data is now available.
My point is in the implementing these technological advances could be worthless to the business and maybe even destructive, unless they are associated with a actual set of Business Information Goals(Measurements KPI’s) and they are linked directly with understandable Business deliverables.
And moreover prior to even considering or engaging a data scienkce or attempt data mining you should organize your datasets capturing the relationships and apply a “scoring” or “ranking” process and be able to relate them to your business information model or Information Value Chain, with the concept of quality applied real time.
The foundation for a business to navigate their Information Value Chain is an underlying Information Architecture. An Information Architecture typically, involves a model or concept of information that is used and applied to activities which require explicit details of complex information systems.
Subsequently a data management and databases are required, they form the foundation of your Information Value Chain, to bring this back to the Business Goal. Let’s take a quick look at the difference between relational database technology and graph technology as a part of emerging big data capabilities.
However, considering the timeframe for database technology evolution, has is introduced a cultural aspect of implementing new technology changes, basically resistance to change. Business that are running there current operations with technology and people form the 80s and 90s have a different perception of a solution then folks from the 2000s.
Therefore, in this case regarding a technical solution “perception is not reality”, awarement is. Business need to find ways to bridge the knowledge gap and increase awarement that simply embracing new technology will not fundamentally change the why a business is operates , however it will affect how.
Relational databases were introduced in 1970, and graph database technology was introduced in the mid to 2000
There are many topics included in the current Big Data concept to analyze, however the foundation is the Information Architecture, and the databases utilized to implement it.
There were some other advancements in database technology in between also however let’s focus on these two
History
1970
In a 1970s relational database, Based on mathematical Set theory, you could pre-define the relationship of tabular (tables) , implement them in a hardened structure, then query them by manually joining the tables thru physically naming attributes and gain much better insight than previous database technology however if you needed a new relationship it would require manual effort and then migration of old to new , In addition your answer it was only good as the hard coding query created
Early Relationship Conepts
2020
In mid-2000’s the graph database was introduced , based on graph theory, that defines the relationships as tuples containing nodes and edges. Graphs represent things and relationships events describes connections between things, which makes it an ideal fit for a navigating relationship. Unlike conventional table-oriented databases, graph databases (for example Neo4J, Neptune) represent entities and relationships between them. New relationships can be discovered and added easily and without migration, basically much less manual effort.
Nodes and Edges
Graphs are made up of ‘nodes’ and ‘edges’. A node represents a ‘thing’ and an edge represents a connection between two ‘things’. The ‘thing’ in question might be a tangible object, such as an instance of an article, or a concept such as a subject area. A node can have properties (e.g. title, publication date). An edge can have a type, for example to indicate what kind of relationship the edge represents.
Current Relationship Concepts
Takeaway.
The takeaway there are many spokes on the cultural wheel, in a business today, encompassing business acumen, technology acumen and information relationships and raw data knowledge and while they are all equally critical to success, the absolute critical step is that the logical business model defined as the Information Value Chain is maintained and enhanced.
It is a given that all business desire to lower cost and gain insight into information, it is imperative that a business maintain and improve their ability to provide accurate information that can be audited and traceable and navigate the Information Value Chain,Data Science can only be achieved after a business fully understand their existing Information Architecture and strive to maintain it.
Note as I stated above an Information Architecture is not your Enterprise Architecture. Information architecture is the structural design of shared information environments; the art and science of organizing and labelling websites, intranets, online communities and software to support usability and findability; and an emerging community of practice focused on bringing principles of design, architecture and information science to the digital landscape. Typically, it involves a model or concept of information that is used and applied to activities which require explicit details of complex information systems.
Ancient Relationship Concepts
In essence, a business needs a Rosetta stone in order translate past, current and future results.
In future articles we’re going to explore and dive into how these new technologies can be utilized and more importantly how they relate to Business outcomes
My soulmate, my wife, my “partner“ the absolute love of my life passed away last year., NEEDLESSLY. Tessie and I put our faith in our doctors and Tessie as it should be put her faith in me, and I failed her. I didn’t cheat on Tess, I didn’t gamble, I didn’t lie, although I did drink too much, however every second of every day I feel I feel I failed.
Tessie and I survived the first occurrence of cancer in 2009. Once Tess was diagnosed she was able to take advantage of Avastin at the time a new type of immunotherapy., primarily because her idiot husband did not have insurance. Which the doctors credited with putting Tessie‘s cancer into remission, that was BULLSHIT. Eight years later I’m doctors in our regular visit told Tessie she was fine doing well and there were no signs of cancer, that was bullshit. 9 years later Tessie experienced sever back pain and was told she has sciatica, 10 years later Tessie and I were in the emergency room and it was discovered the test had multiple tumors kidney liver back ….
17 months later after much suffering and pain and at this point multiple tumors, my incredible wife passed away, and I feel as her husband.
As of today in 2021, cancer occurs in our bodies at the DNA levels. We’re told and led to believe that the issue of cancer is tumors, however it’s more basic than the issue was cancer is that are mRNA, copies are DNA to create new cells and when those cells are created they’re not coded with an expiration date. It isn’t widely known but our bodies create approximately 259 billion cells every day and in general they live only for three days, and then they die with the preschool describe date, If they don’t die, they form tumors and that is cancer.
The reason I say, that I feel I failed Tessie., is that if we would’ve not a relied on doctors and not relied on PURLEY faith and her husband would’ve done more research and realize that the only way to live longer with cancer, I emphasize the only way is to monitor and be aware of certain very low levels of substances that are accumulating in her body that can be tracked with things called cancer marker test, which generally are blood Tess’s case there is a very simple test called ACA 27/29 which basically measures the result of a certain enzyme in your blood and if that enzyme is add a measurement of 40 you’re OK, and Tessie’s case it was 4000.
In 2009 this it (CA27/29) was not revealed or taken by our doctors, and once I realized that after doing research we should’ve done years earlier Tess was told that they don’t want to do cancer marker test and they were not 100% reliable and that they wait for symptoms to occur, which in Tess’s case were massive tumors.
The point here is while they may not be 100% reliable like many things in life there can be an early indicator, even if it’s news you don’t want to hear trust me you want to know. My Tessie was fiercely independent, seriously protective of her children and her grandchildren and her husband , her family and relied on her doctors exclusively. She had “hope“ and “faith” in her doctors and God, Tess kept her faith in God however she was let down by her doctors and her husband.
The point of all this is for women and men who have been “lucky“ enough who have discovered you have cancer, you must and I repeat must get a test of your DNA and your mRNA understand mutations that exist because the various cancers she may experience and monitor them whether or not your insurance company covers his test they are critical, if you wait until a tumor
Our a wonderful daughter Victoria . who is of course supported by the worlds greatest son-in-law , has recently given a presentation to 6000 people extolling on the fact that you need to take your life your health your family and your priorities into your hands to monitor them to control them and to do everything you can to achieve the outcome you desire, obviously health and life, and love.
What frustrates me the most and why I feel I let Tessie down, is lack of knowledge which resulted from the lack of analysis. While Victoria was working on her presentation for the conference and emphasizing the need for analysis and information, in regards to meeting your health your life your goals, I realized this
Tessie is in heaven now, and I am here and thank God for Tessie‘s insistence on caring and protecting for her children and her grandchildren and her son-in-law and being protective and analytical throughout her life. However at this point I cannot stand by and not try to help informant increase awareness for other men and women that “remission“ is bullshit, there is no cure for cancer however if you monitor it and you catch it early when it’s at the cellular level and not at the tumor level you can continue to live your life experience the love of your family and your partner. there is no such thing as remission, you must get the INFORMATION you need to slow it done. You can’t prevent it, you can control it.
If anyone has any question , please let me know, I am not any kind of expert but as I tell my children “Perception is not reality, awarement is reality.”
Ok I have boon working on a book about “Information”. There’s more to this topic than you realize. Information is not fact and is often twisted facts to support an agenda. We will explore many topics that will surprise you. It is importatnt to separate facts from fiction” Are you interested. Not my options just facts
Ira Warren Whiteside's Blog - Information Sherpa 