The iceberg model is used to illustrate different levels of abstraction in a system or organization. Like an iceberg, most of what is influencing the system is hidden below the surface. The model depicts these layers, from observable events at the top to underlying mental models and structures at the bottom. This canvas is designed to map out the current system across these different levels, and then identify a desired emerging system in the future with new events, patterns, structures, and mental models. The process involves outlining the current system on each level of the iceberg and then tracing back up to describe aspects of a new system.
PatternDynamics Operating System Workbook v3.5.2Tim Winton
A bottom-up approach to creating more open, adaptive, innovative self-organising groups. This Operating System is an alternative to, and compliment for, other progressive organisational practices like Holocracy, Lean, and Agile. Its focus is on helping individuals learn practices and skills that promote emergent solutions and better collaborative decision making.
Running head ONline analytical process1ONline analytical proce.docxtoltonkendal
Running head: ONline analytical process 1
ONline analytical process 2Online Analytical Process and Date Cube
Vaishnavi Gunnam
SEC 6050
Wilmington University
Introduction
Online Analytical Process (OLAP) is among of the powerful and potential technologies used for knowledge discovery in vast database environment. The key part of OLAP model is the data cube. It is a multidimensional arrangement of collective values which provide sophisticated model for the decision support. OLAP is the foundation for numerous business application with sales and market analysis, planning, accounting and performance evaluation. Unlike statistical databases which usually store census data and economic data, OLAP is primarily used for analyzing business data collected from daily transactions such as sales data and health care data.
The main purpose of an OLAP system is to enable analysts to construct a mental image about the underlying data by exploring it from different perspectives, at different level of generalizations, and in an interactive manner. OLAP interacts with other components, such as data warehouse and data mining, to assist analysts in making business decisions.
A data cube is a type of multidimensional structure which allows users to analyze the data that is collected from various sources for different purposes, by taking three different factors into account at same instance. Data cube was proposed as a SQL operator to support common OLAP tasks like histograms and subtotals (Wang, Jajodia, & Wijesekera, 2010) .
Uses of OLAP Data Cube
OLAP data cubes are the most advanced technology that is used to analyze the data in huge data environments. There are many applications and uses of the OLAP data cubes, the following are some of the uses of implementing OLAP data bases in various fields:
· On-Line Analytical Processing (OLAP) techniques are more progressively being used in the Decision support system in order to provide the analysis of the data. The queries that were posted on the decision support systems are very complex and need different views of data. So OLAP data cubes are used to provide various dimensional views and helps in analyzing the data for required results (Blanco et al., 2015).
· On-line Analytical Processing systems facilitate analysts and managers of the organizations to provide insight on the performance of the organization by using various different views of data for reflecting the multidimensional (Blanco et al., 2015).
· The model which is dimensional in a logical way is represented by a cube. The tools will help in facilitating the updating and maintenance of the cube which attributes the multidimensional model, which further assists in easier setting up and helps in maintaining the cube effectively from taking the assistance through the intuitions to the extent of use possible (Blanco et al., 2015).
Operations of Data Cubes
To support OLAP, the datacube should provide the following capabilities.
Roll-up
Roll-u ...
Ένα από τα πιο σημαντικά πλέον soft skills που πρέπει να έχει κάθε designer είναι να μπορεί να σκεφτεται συστημικά (systemic thinking) αλλά και να έχει πάντα στο μυαλό του όσο σχεδιάζει τον παράγοντα του scale, πως δηλαδή το κάθε project έχει σχεδιαστεί με τρόπο που να μπορεί να αναπτυχθεί και να μεγαλώσει με τον καλύτερο δυνατό τρόπο. Λόγω αυτής της ζήτησης εργαλεία όπως το Figma στοχεύουν στο να κάνουν αυτή τη διαδικασία πιο εύκολη.
Σε αυτήν την παρουσίαση θα δούμε πως μπορούμε να αναπτύξουμε αυτό το mindset στα επόμενα project που πρόκειται να αναλάβουμε αλλά και να μεταφέρουμε αυτή τη νοοτροπία και στην υπόλοιπη ομάδα ή στην εταιρεία στην οποία δουλεύουμε.
PatternDynamics Operating System Workbook v3.5.2Tim Winton
A bottom-up approach to creating more open, adaptive, innovative self-organising groups. This Operating System is an alternative to, and compliment for, other progressive organisational practices like Holocracy, Lean, and Agile. Its focus is on helping individuals learn practices and skills that promote emergent solutions and better collaborative decision making.
Running head ONline analytical process1ONline analytical proce.docxtoltonkendal
Running head: ONline analytical process 1
ONline analytical process 2Online Analytical Process and Date Cube
Vaishnavi Gunnam
SEC 6050
Wilmington University
Introduction
Online Analytical Process (OLAP) is among of the powerful and potential technologies used for knowledge discovery in vast database environment. The key part of OLAP model is the data cube. It is a multidimensional arrangement of collective values which provide sophisticated model for the decision support. OLAP is the foundation for numerous business application with sales and market analysis, planning, accounting and performance evaluation. Unlike statistical databases which usually store census data and economic data, OLAP is primarily used for analyzing business data collected from daily transactions such as sales data and health care data.
The main purpose of an OLAP system is to enable analysts to construct a mental image about the underlying data by exploring it from different perspectives, at different level of generalizations, and in an interactive manner. OLAP interacts with other components, such as data warehouse and data mining, to assist analysts in making business decisions.
A data cube is a type of multidimensional structure which allows users to analyze the data that is collected from various sources for different purposes, by taking three different factors into account at same instance. Data cube was proposed as a SQL operator to support common OLAP tasks like histograms and subtotals (Wang, Jajodia, & Wijesekera, 2010) .
Uses of OLAP Data Cube
OLAP data cubes are the most advanced technology that is used to analyze the data in huge data environments. There are many applications and uses of the OLAP data cubes, the following are some of the uses of implementing OLAP data bases in various fields:
· On-Line Analytical Processing (OLAP) techniques are more progressively being used in the Decision support system in order to provide the analysis of the data. The queries that were posted on the decision support systems are very complex and need different views of data. So OLAP data cubes are used to provide various dimensional views and helps in analyzing the data for required results (Blanco et al., 2015).
· On-line Analytical Processing systems facilitate analysts and managers of the organizations to provide insight on the performance of the organization by using various different views of data for reflecting the multidimensional (Blanco et al., 2015).
· The model which is dimensional in a logical way is represented by a cube. The tools will help in facilitating the updating and maintenance of the cube which attributes the multidimensional model, which further assists in easier setting up and helps in maintaining the cube effectively from taking the assistance through the intuitions to the extent of use possible (Blanco et al., 2015).
Operations of Data Cubes
To support OLAP, the datacube should provide the following capabilities.
Roll-up
Roll-u ...
Ένα από τα πιο σημαντικά πλέον soft skills που πρέπει να έχει κάθε designer είναι να μπορεί να σκεφτεται συστημικά (systemic thinking) αλλά και να έχει πάντα στο μυαλό του όσο σχεδιάζει τον παράγοντα του scale, πως δηλαδή το κάθε project έχει σχεδιαστεί με τρόπο που να μπορεί να αναπτυχθεί και να μεγαλώσει με τον καλύτερο δυνατό τρόπο. Λόγω αυτής της ζήτησης εργαλεία όπως το Figma στοχεύουν στο να κάνουν αυτή τη διαδικασία πιο εύκολη.
Σε αυτήν την παρουσίαση θα δούμε πως μπορούμε να αναπτύξουμε αυτό το mindset στα επόμενα project που πρόκειται να αναλάβουμε αλλά και να μεταφέρουμε αυτή τη νοοτροπία και στην υπόλοιπη ομάδα ή στην εταιρεία στην οποία δουλεύουμε.
Through the new lens: Quality & Complexity bruce waltuckBruce Waltuck
Slides from my webinar of 4/5/11, for the HD&L Division of ASQ. A presentation on re-defining Quality through the perspective of complex adaptive systems. Introduces several frameworks and tools; provides examples and resources.
When building digital products and services, we are designing complex systems.We need to think the customer experience through on several channels, figure out the system architecture, gain understanding through data and research, decide what to iterate... - not easy, but fun!
In this keynote talk given at Agile Cambridge 2016, Johanna introduces core systems thinking principles for designing better services, discussed how data and feedback mechanisms help us understand what is going on in a system, and addressed the challenge of bringing about change in a system.
Chris Soderquist presentation at the 2016 Science of HOPE
Description:
This session will introduce participants to a powerful approach to orchestrating useful learning across difficult boundaries using system dynamics. Through real world examples and interactive exercises, participants will learn how system dynamics can help them gain far more useful leverage when addressing complex, adaptive challenges. Participants will also see how this approach was used in a project funded by the Foundation for Healthy Generations to guide strategic decisions in Washington (and other states) for building community capacity and resilience.
Teaching the Technologies learning area using a thinking skills approachJason Zagami
Presentation by Dr Jason Zagami to the QSITE2015 conference on 24 September 2015 at Townsville, Queensland.
Zagami, J. (2015, September) Teaching the Technologies learning area using a thinking skills approach. Presentation presented to QSITE2015 conference, Townsville, Queensland, Australia. http://www.slideshare.net/j.zagami/teaching-the-technologies-learning-area-using-a-thinking-skills-approach
The Technologies learning area provides an opportunity to develop in students five distinct but complementary ways of thinking about and understanding the world: Systems Thinking, Design Thinking, Computational Thinking, Futures Thinking, and Strategic Thinking. This session will explore approaches to teaching the Technologies learning area through problem-solving activities that develop these thinking approaches.
Through the new lens: Quality & Complexity bruce waltuckBruce Waltuck
Slides from my webinar of 4/5/11, for the HD&L Division of ASQ. A presentation on re-defining Quality through the perspective of complex adaptive systems. Introduces several frameworks and tools; provides examples and resources.
When building digital products and services, we are designing complex systems.We need to think the customer experience through on several channels, figure out the system architecture, gain understanding through data and research, decide what to iterate... - not easy, but fun!
In this keynote talk given at Agile Cambridge 2016, Johanna introduces core systems thinking principles for designing better services, discussed how data and feedback mechanisms help us understand what is going on in a system, and addressed the challenge of bringing about change in a system.
Chris Soderquist presentation at the 2016 Science of HOPE
Description:
This session will introduce participants to a powerful approach to orchestrating useful learning across difficult boundaries using system dynamics. Through real world examples and interactive exercises, participants will learn how system dynamics can help them gain far more useful leverage when addressing complex, adaptive challenges. Participants will also see how this approach was used in a project funded by the Foundation for Healthy Generations to guide strategic decisions in Washington (and other states) for building community capacity and resilience.
Teaching the Technologies learning area using a thinking skills approachJason Zagami
Presentation by Dr Jason Zagami to the QSITE2015 conference on 24 September 2015 at Townsville, Queensland.
Zagami, J. (2015, September) Teaching the Technologies learning area using a thinking skills approach. Presentation presented to QSITE2015 conference, Townsville, Queensland, Australia. http://www.slideshare.net/j.zagami/teaching-the-technologies-learning-area-using-a-thinking-skills-approach
The Technologies learning area provides an opportunity to develop in students five distinct but complementary ways of thinking about and understanding the world: Systems Thinking, Design Thinking, Computational Thinking, Futures Thinking, and Strategic Thinking. This session will explore approaches to teaching the Technologies learning area through problem-solving activities that develop these thinking approaches.
Expert Accessory Dwelling Unit (ADU) Drafting ServicesResDraft
Whether you’re looking to create a guest house, a rental unit, or a private retreat, our experienced team will design a space that complements your existing home and maximizes your investment. We provide personalized, comprehensive expert accessory dwelling unit (ADU)drafting solutions tailored to your needs, ensuring a seamless process from concept to completion.
You could be a professional graphic designer and still make mistakes. There is always the possibility of human error. On the other hand if you’re not a designer, the chances of making some common graphic design mistakes are even higher. Because you don’t know what you don’t know. That’s where this blog comes in. To make your job easier and help you create better designs, we have put together a list of common graphic design mistakes that you need to avoid.
Between Filth and Fortune- Urban Cattle Foraging Realities by Devi S Nair, An...Mansi Shah
This study examines cattle rearing in urban and rural settings, focusing on milk production and consumption. By exploring a case in Ahmedabad, it highlights the challenges and processes in dairy farming across different environments, emphasising the need for sustainable practices and the essential role of milk in daily consumption.
Book Formatting: Quality Control Checks for DesignersConfidence Ago
This presentation was made to help designers who work in publishing houses or format books for printing ensure quality.
Quality control is vital to every industry. This is why every department in a company need create a method they use in ensuring quality. This, perhaps, will not only improve the quality of products and bring errors to the barest minimum, but take it to a near perfect finish.
It is beyond a moot point that a good book will somewhat be judged by its cover, but the content of the book remains king. No matter how beautiful the cover, if the quality of writing or presentation is off, that will be a reason for readers not to come back to the book or recommend it.
So, this presentation points designers to some important things that may be missed by an editor that they could eventually discover and call the attention of the editor.
Transforming Brand Perception and Boosting Profitabilityaaryangarg12
In today's digital era, the dynamics of brand perception, consumer behavior, and profitability have been profoundly reshaped by the synergy of branding, social media, and website design. This research paper investigates the transformative power of these elements in influencing how individuals perceive brands and products and how this transformation can be harnessed to drive sales and profitability for businesses.
Through an exploration of brand psychology and consumer behavior, this study sheds light on the intricate ways in which effective branding strategies, strategic social media engagement, and user-centric website design contribute to altering consumers' perceptions. We delve into the principles that underlie successful brand transformations, examining how visual identity, messaging, and storytelling can captivate and resonate with target audiences.
Methodologically, this research employs a comprehensive approach, combining qualitative and quantitative analyses. Real-world case studies illustrate the impact of branding, social media campaigns, and website redesigns on consumer perception, sales figures, and profitability. We assess the various metrics, including brand awareness, customer engagement, conversion rates, and revenue growth, to measure the effectiveness of these strategies.
The results underscore the pivotal role of cohesive branding, social media influence, and website usability in shaping positive brand perceptions, influencing consumer decisions, and ultimately bolstering sales and profitability. This paper provides actionable insights and strategic recommendations for businesses seeking to leverage branding, social media, and website design as potent tools to enhance their market position and financial success.
2. Overview
The iceberg model is a model used in systems change to illustrate the various levels of
abstraction to a situation or organization. Just like with an iceberg, a large percentage of what is
going on in our world is hidden from view and the Iceberg Model tries to make this explicit by
depicting it as a series of layers that sit beneath the everyday observable world.
This canvas is designed to help you start to think about and map out the different levels of
abstraction to the system you are dealing with - from the observable events to underlying
patterns that generate these, to the supporting structure and ultimately the mental models
used by an organization. We first map the existing system on these different levels and then
progress to identify possible new models, structures, patterns, and events that we would wish
to see in the future system.
3. Concrete - Low Leverage
Manifest observable "things"
Abstract - High Leverage
Intangible information and
ideas
Levels of
Abstractio
n
4. Events
The observable actions and phenomena
Patterns
Describe trends over time
Models
The mental models that support everything else in the system
Structures
Describe trends over time
5. Current System
We start by giving an outline
to the current system
How it Works
This canvas follows a process where we go
down the different levels of the iceberg,
outlining the current system on its different
levels. We then trace back up again to give an
outline of the desired future system we would
like to bring into being.
Emerging System
We then outline the
aspects of the new
system
6. Iceberg Canvas
Current
System
Emerging
System
Current Events
Events are the individual activities or facts about the state of
things in the system. Write in the box below the events and
associated variables in the system.
Current Patterns
Patterns are the changes in variables that occur over a period of
time. They are the trends that we perceive taking place over time.
List the patterns you see in the system.
Current Structures
What are the rules, norms, policies, guidelines, power structures,
distribution of resources, or informal ways of work that have been
institutionalized? Post up all your ideas.
Current Models
What are the key mental models expressed through beliefs,
attitudes, morals, expectations, values or culture which
allow current structures to continue? Post all your ideas up.
Future Models
Post up your ideas for the new mental models and values
that might be needed to shift the paradigm.
Future Structures
What new structures would emerge from those new
mental models and values? Post all your ideas.
Future Patterns
What new patterns may emerge from the new structures
and mental models? Post up any ideas you may have.
Future Events
What new events would we hope to emerge from the new
underlying patterns and structures we have outlined
above? Post up any ideas on this.
8. Current Event
Events are the individual activities or facts about the state
of things in the system. Write in the box below the events
and associated variables in the system.
9. Current Patterns
Patterns are the changes in variables that occur over a
period of time. They are the trends that we perceive taking
place over time. List the patterns you see in the system.
10. Current Structure
What are the rules, norms, policies, guidelines, power
structures, distribution of resources, or informal ways of
work that have been tacitly or explicitly institutionalized?
Post up all your ideas.
11. Current Mental Model
What are the key mental models expressed through beliefs,
attitudes, morals, expectations, values or culture which allow
structures to continue functioning as they are? Post all your
ideas up.
12. Moving Up The Iceberg
Now we are going to start to trace the
different levels of the model up again filling in
the key aspects of the emerging system. Event
s
Emerging
System
Models
Structures
Pattern
s
13. Future Mental Models
Post up your ideas for the new mental models and values that
might be needed to shift the paradigm.
14. Future Structures
What new structures would emerge from those new mental
models and values? Post all your ideas.
15. New Patterns
What new patterns may emerge from the new structures
and mental models? Post up any ideas you may have.
16. Future Events
What new events would we hope to emerge from the new
underlying patterns and structures we have outlined above?
Post up any ideas on this.
17. Version 1.1
A Systems Innovation Publication
www.systemsinnovation.io
info@systemsinnovation.io