The document summarizes Robert Horn's methodology of Information Mapping, which has 3 components: (1) analysis, (2) organization, and (3) presentation. It outlines the 6 information types used for analysis: procedure, process, principle, concept, structure, and fact. It then describes the 6 research-based principles for organization: chunking, relevance, labeling, consistency, integrated graphics, and accessible detail. Finally, it discusses the modular information units used for presentation: blocks and maps. The overall purpose is to transform how people interact with information to make it more accessible, understandable and memorable.
For KM practitioners, Agile frameworks have long been important for optimizing stakeholder value and satisfaction in KM initiatives. Over 20 years ago, a group of software developers revolutionized their field by introducing the Agile Manifesto to guide their industry in adopting Agile values, frameworks, and practices. However, until now, KM practitioners have lacked a formal framework demonstrating how to apply Agility to KM. In short, it is time to codify these Agile principles in a manner suited for the KM profession. Leveraging the original Agile Manifesto for inspiration, Andrew Politi and Megan Salerno introduced “The Agile KM Manifesto” at KM World 2022. The presentation is designed to initiate a conversation amongst KM practitioners across the industry about this initial version of the Agile KM Manifesto (the 'AKM'), and solicit feedback on future iterations.
Next, the presenters walked through three EK case studies demonstrating how the application of its principles could have saved significant time in those initiatives.
First, we described how a global non-profit approached EK to address duplicate and outdated content, and the lack of content creation standards.
Applicable AKM principle: "Content should only be available to users if it is new, essential, reliable, dynamic, and reusable. If these criteria are not met, the content must be cleaned-up or archived accordingly.”"
Next was a discussion of how national nuclear research laboratory struggled to share and discover knowledge from retiring employees and compartmentalized silos.
Applicable AKM principle: “Tacit knowledge and expertise should be proactively and formally captured and stored in the same manner as explicit knowledge.”
Finally, the presenters described how one of the largest multinational athletic apparel companies struggled to help geographically separated teams collectively and collaboratively reuse knowledge and create content across the globe, even functionally similar focus roles.
Applicable AKM principle: “All KM efforts must leverage a common language. Develop, socialize, and employ a common KM language so stakeholders don't speak past each other and can maintain consensus throughout your KM effort.”
Ultimately, this presentation served to introduce The AKM to the broader community, demonstrate its value, and solicit input from across the industry.
Organizing Knowledge: A Knowledge Manager’s Primer to Taxonomy DevelopmentArt Schlussel
Organizing Knowledge - A Knowledge Manager’s Primer to Taxonomy Development
Attribution: Thanks to Patrick Lambe, author, Organising Knowledge: Taxonomies,
Knowledge and Organizational Effectiveness, Chandos Publishing 2007 for much of the content in this presentation.
Effective Strategy Execution with Capability-Based Planning, Enterprise Arch...Iver Band
The difficulty of strategy execution should not be underestimated
Capability-based planning helps make strategy concrete
Enterprise architecture closes the remainder of this gap, and ensures alignment and coherence
Enterprise portfolio management allows managing large enterprise landscapes based on business value
ArchiMate models tie it all together, providing a clear line of sight from strategy definition to realization
Powerful tool support makes this a strong combination!
aka "Agile adoption stories from highly varied organisational cultures"
Why is the culture change that genuine Agile requires so difficult in most army or machine-like corporate cultures, yet quite natural for certain organisations who have a culture similar to a family or living organism? It turns out that the type of Agile your organisation adopts corresponds with its dominant world view or stage of consciousness. Drawing from 15 years of experience with Agile in Australia and the UK, we describe how Agile was interpreted quite differently by organisations classed as Amber, Orange, Green and Teal in Frederic LaLoux’s model.
Familiarise yourself with the characteristics of the four stages of Frederic LaLoux’s consciousness model.
You will become aware of:
* The stage that your own organisation is at
* How your organisation is likely to interpret and ‘bend’ Agile to fit its world view
* Specific beliefs and motivations that make high agility difficult in organisations with Amber and Orange stages of consciousness
* The Green and Teal beliefs and leadership styles that are genuinely transformational in achieving and sustaining high agility and customer-centric Agile adoptions.
Best practices, lessons learned, and examples for taxonomy governance and iteration. Developed by Enterprise Knowledge and originally presented for the Knowledge Management Institute.
Creating Agile Organizations by Combining Design, Architecture and Agile Thin...Craig Martin
This is a talk I gave to the IASA follow-the-sun community. It deals with the combination of the design thinking, architecture thinking and agile thinking disciplines into a combined discipline needed to create the a responsive organisation.
The major criteria standing in the way of agile adoption or improvement are in the hands of managers, not the teams themselves. But many managers have been trained to think in ways that are a century old.
Agile organisations require a new mode of management and a new style of leadership. This talk discusses why this is and what this new paradigm might be like for your organisation.
For KM practitioners, Agile frameworks have long been important for optimizing stakeholder value and satisfaction in KM initiatives. Over 20 years ago, a group of software developers revolutionized their field by introducing the Agile Manifesto to guide their industry in adopting Agile values, frameworks, and practices. However, until now, KM practitioners have lacked a formal framework demonstrating how to apply Agility to KM. In short, it is time to codify these Agile principles in a manner suited for the KM profession. Leveraging the original Agile Manifesto for inspiration, Andrew Politi and Megan Salerno introduced “The Agile KM Manifesto” at KM World 2022. The presentation is designed to initiate a conversation amongst KM practitioners across the industry about this initial version of the Agile KM Manifesto (the 'AKM'), and solicit feedback on future iterations.
Next, the presenters walked through three EK case studies demonstrating how the application of its principles could have saved significant time in those initiatives.
First, we described how a global non-profit approached EK to address duplicate and outdated content, and the lack of content creation standards.
Applicable AKM principle: "Content should only be available to users if it is new, essential, reliable, dynamic, and reusable. If these criteria are not met, the content must be cleaned-up or archived accordingly.”"
Next was a discussion of how national nuclear research laboratory struggled to share and discover knowledge from retiring employees and compartmentalized silos.
Applicable AKM principle: “Tacit knowledge and expertise should be proactively and formally captured and stored in the same manner as explicit knowledge.”
Finally, the presenters described how one of the largest multinational athletic apparel companies struggled to help geographically separated teams collectively and collaboratively reuse knowledge and create content across the globe, even functionally similar focus roles.
Applicable AKM principle: “All KM efforts must leverage a common language. Develop, socialize, and employ a common KM language so stakeholders don't speak past each other and can maintain consensus throughout your KM effort.”
Ultimately, this presentation served to introduce The AKM to the broader community, demonstrate its value, and solicit input from across the industry.
Organizing Knowledge: A Knowledge Manager’s Primer to Taxonomy DevelopmentArt Schlussel
Organizing Knowledge - A Knowledge Manager’s Primer to Taxonomy Development
Attribution: Thanks to Patrick Lambe, author, Organising Knowledge: Taxonomies,
Knowledge and Organizational Effectiveness, Chandos Publishing 2007 for much of the content in this presentation.
Effective Strategy Execution with Capability-Based Planning, Enterprise Arch...Iver Band
The difficulty of strategy execution should not be underestimated
Capability-based planning helps make strategy concrete
Enterprise architecture closes the remainder of this gap, and ensures alignment and coherence
Enterprise portfolio management allows managing large enterprise landscapes based on business value
ArchiMate models tie it all together, providing a clear line of sight from strategy definition to realization
Powerful tool support makes this a strong combination!
aka "Agile adoption stories from highly varied organisational cultures"
Why is the culture change that genuine Agile requires so difficult in most army or machine-like corporate cultures, yet quite natural for certain organisations who have a culture similar to a family or living organism? It turns out that the type of Agile your organisation adopts corresponds with its dominant world view or stage of consciousness. Drawing from 15 years of experience with Agile in Australia and the UK, we describe how Agile was interpreted quite differently by organisations classed as Amber, Orange, Green and Teal in Frederic LaLoux’s model.
Familiarise yourself with the characteristics of the four stages of Frederic LaLoux’s consciousness model.
You will become aware of:
* The stage that your own organisation is at
* How your organisation is likely to interpret and ‘bend’ Agile to fit its world view
* Specific beliefs and motivations that make high agility difficult in organisations with Amber and Orange stages of consciousness
* The Green and Teal beliefs and leadership styles that are genuinely transformational in achieving and sustaining high agility and customer-centric Agile adoptions.
Best practices, lessons learned, and examples for taxonomy governance and iteration. Developed by Enterprise Knowledge and originally presented for the Knowledge Management Institute.
Creating Agile Organizations by Combining Design, Architecture and Agile Thin...Craig Martin
This is a talk I gave to the IASA follow-the-sun community. It deals with the combination of the design thinking, architecture thinking and agile thinking disciplines into a combined discipline needed to create the a responsive organisation.
The major criteria standing in the way of agile adoption or improvement are in the hands of managers, not the teams themselves. But many managers have been trained to think in ways that are a century old.
Agile organisations require a new mode of management and a new style of leadership. This talk discusses why this is and what this new paradigm might be like for your organisation.
Business capability mapping and business architectureSatyaIluri
Business architecture and capabilities mapping captures and encapsulates the essence of a business. Using capabilities enterprises can model their current and desired business capabilities with rich semantics and leverage these as Lego blocks to compose products/ initiatives, overlay them with value streams and processes, and capture requirements to evolve capabilities. Business capability mapping helps companies establish a common language, fosters business/IT alignment, helps reduce redundancy and rework, and aligns execution with strategy.
Presenter:
Dr. Gail Ferreira, Agile Practice Leader, MATRIX Resources, San Francisco Center of Excellence
Rapid scale directly impacts all levels of decision-making, planning, execution, culture, and communications for executives in hypergrowth companies. In this session, we will discuss how to organize, support, and tailor agile practices for teams and sub-teams in companies with a rapid growth cycle. We will share contemporary case studies of hypergrowth companies who have delivered agile at scale.
Topics will include:
• Basic agile and lean methods
• Scrum of Scrums
• SAFe
• Disciplined Agile Delivery (DAD)
• Agility at Scale (Ambler/Lines)
• Spotify model (Tribes, Squads, Chapters & Guilds, DSDM).
As we head into a new year, one thing is for sure, the world of technology and IT will continue to evolve and be disrupted at a frightening pace. The role of the modern IT organisation will thus need to adapt and be agile in order to keep pace with this changing landscape and to continue to be valuable to the organisations that they service. As IT estates become more complex, internal IT functions will need to become more mature and efficient in the way they operate in order to be perceived as a valued asset to the business. The release of IT4IT at the end of last year provides an interesting and potentially highly valuable reference architecture for IT organisations to use to help achieve this level of maturity and efficiency.
The IT4IT standard has really started to pick up momentum as we start 2016 and it is great to see the increase in the membership of the IT4IT forum as well as the general interest that is being seen in the industry for this new standard. I recently co-presented a webinar in collaboration with the Open Group where we looked at the potential real-world application and benefits that IT4IT can offer. Mandate and mindset will be critical to the successful use of IT4IT but I am confident that this approach has the potential to be very beneficial for many organisations as the role of the IT function continues to be redefined.
An Outcome Measurement Model: Is your Agile Adoption Moving the Needle?Cprime
The Version One Annual State of Agile survey indicates that 94% of organizations are practicing Agile in one way, shape, or form.
But what might this investment yield besides an Agile label? In many cases, it appears that organization leaders cannot produce concrete data to meet this ask, or articulate the gain clearly using measures that count and impact the bottom line.
One solution is to begin with the desired outcomes driving the adoption and identify both leading and lagging indicators to gauge whether the change initiative is moving the needle and impacting the bottom line. This approach has been successful because it creates alignment and accountability.
Join Michael McCalla, technology leader, transformation specialist, avid agile practitioner and founder of Lean Agile Intelligence, for this interactive session, and learn how this outcome measurement model can help you start changing the conversation!
How to Build the Data Mesh Foundation: A Principled Approach | Zhamak Dehghan...HostedbyConfluent
Organizations have been chasing the dream of data democratization, unlocking and accessing data at scale to serve their customers and business, for over a half a century from early days of data warehousing. They have been trying to reach this dream through multiple generations of architectures, such as data warehouse and data lake, through a cambrian explosion of tools and a large amount of investments to build their next data platform. Despite the intention and the investments the results have been middling.
In this keynote, Zhamak shares her observations on the failure modes of a centralized paradigm of a data lake, and its predecessor data warehouse.
She introduces Data Mesh, a paradigm shift in big data management that draws from modern distributed architecture: considering domains as the first class concern, applying self-sovereignty to distribute the ownership of data, applying platform thinking to create self-serve data infrastructure, and treating data as a product.
This talk introduces the principles underpinning data mesh and Zhamak's recent learnings in creating a path to bring data mesh to life in your organization.
Agile Transformation at scale is challenging that requires deep understanding and expertise of agility, discipline and hunger to change. In order to guide you for success in your transformation efforts, we created the Agile Transformation Governance Model. The governance model focuses on 5 key areas together with its 19 sub areas and creates high level of visibility for your transformation efforts.
Enterprise Knowledge - Taxonomy Design Best Practices and MethodologyEnterprise Knowledge
This presentation, origninally presented at the Knowledge Management Institute's KM Symposium on March 27, 2014, addresses the concepts of business taxonomy value, taxonomy design methodology, and taxonomy design best practices. It is intended as an introductory deck for anyone seeking guidance on taxonomy design efforts.
The Executives Step-by-Step Guide to Leading a Large-Scale Agile TransformationLeadingAgile
This talk explores a safe, pragmatic, and repeatable formula for leading change in large organizations. The Holy Grail for an executive is to tie dollars spent and activities performed, to internal improvement metrics and ultimately improved business performance. We’ll start by discussing the elements of an agile transformation business case and how to identify a meaningful value proposition for change. Next we’ll consider how to assess the organization and build an agile transformation strategy and roadmap that encourages an iterative and incremental approach to change. Finally we’ll explore the metrics and controls that help you know if you’re on the right track. Throughout the presentation, we’ll explore the change management and engagement techniques necessary to make sure you are building meaningful organizational support as you engage the enterprise. We’ll discuss how to build and execute a change management strategy to keep everyone safe and informed throughout the transformation. We’ll show how to sustain and improve the changes over time, ultimately creating an organizational ecosystem where business agility is part of the fundamental DNA of the company. The goal of this talk is to take the magic out of agile transformation and show you how to systematically and planfully introduce agile into your organization.
Learn how an evolved PMO can bring discipline to project prioritization, track project portfolios, and provide the support teams need to embrace Agile.
Future Proofing Your IT Operating Model for DigitalDavid Favelle
Having worked with Operating Model for over 10 years, Dave has new adopted DevOps, IT4IT and Continuous Delivery alongside traditional frameworks. The concept of the value stream is central to the thinking. The presentation was delivered as a Keynote at the Open Group in Amsterdam October 2017 -https://www.youtube.com/watch?v=Y7yH1JJKvqc&t=1969s
Note that Dave and the ValueFlow team deliver Operating Model on the ServiceNow platform.
Leading a large-scale agile transformation isn’t about adopting a new set of attitudes, processes, and behaviors at the team level… it’s about helping your company deliver faster to market, and developing the ability to respond to a rapidly-changing competitive landscape. First and foremost, it’s about achieving business agility. Business agility comes from people having clarity of purpose, a willingness to be held accountable, and the ability to achieve measurable outcomes. Unfortunately, almost everything in modern organizations gets in the way of teams acting with any sort of autonomy. In most companies, achieving business agility requires significant organizational change.
Agile transformation necessitates a fundamental rethinking of how your company organizes for delivery, how it delivers value to its customers, and how it plans and measures outcomes. Agile transformation is about building enabling structures, aligning the flow of work, and measuring for outcomes based progress. It's about breaking dependencies. The reality is that this kind of change can only be led from the top. This talk will explore how executives can define an idealized end-state for the transformation, build a fiscally responsible iterative and incremental plan to realize that end-state, as well as techniques for tracking progress and managing change.
Your Challenge
Organizations have to adapt to a growing number of trends, putting increased pressure on IT to move at the same speed as the business.
The business, seeing that IT is slower to react, looks to external solutions to address its challenges and capitalize on opportunities.
IT and business leaders don’t have a clear and unified understanding or definition of an operating model.
Our Advice
Critical Insight
The IT operating model is not a static entity and should evolve according to changing business needs.
However, business needs are diverse, and the IT organization must recognize that the business includes groups that consume technology in different patterns. The IT operating model needs to support and enable multiple groups, while continuously adapting to changing business conditions.
Impact and Result
Determine how each technology consumer group interacts with IT. Use consumer experience maps to determine what kind of services consumer groups use and if there are opportunities to improve the delivery of those services.
Identify how changing business conditions will affect the consumption of technology services. Classify your consumers based on business uncertainty and reliance on IT to plan for the future delivery of services.
Optimize the IT operating model. Create a target IT operating model based on the gathered information about technology service consumers. Select different implementations of common operating model elements: governance, sourcing, process, and structure.
DAS Slides: Data Architect vs. Data Engineer vs. Data ModelerDATAVERSITY
The increasing focus on data in today’s organization has increased demand for critical roles such as data architect, data engineer, and data modeler. But there is often confusion and ambiguity around what these roles entail, and what overlap exists between them. This webinar will discuss these data-centric roles and their place in the data-driven organization.
16 Decision Support and Business Intelligence Systems (9th E.docxRAJU852744
16 Decision Support and Business Intelligence Systems (9th Edition) Instructor’s Manual
Chapter 7:
Text Analytics, Text Mining, and Sentiment Analysis
Learning Objectives for Chapter 7
1. Describe text mining and understand the need for text mining
2. Differentiate among text analytics, text mining, and data mining
3. Understand the different application areas for text mining
4. Know the process of carrying out a text mining project
5. Appreciate the different methods to introduce structure to text-based data
6. Describe sentiment analysis
7. Develop familiarity with popular applications of sentiment analysis
8. Learn the common methods for sentiment analysis
9. Become familiar with speech analytics as it relates to sentiment analysis
10. Learn three facets of Web analytics—content, structure, and usage mining
11. Know social analytics including social media and social network analyses
CHAPTER OVERVIEW
This chapter provides a comprehensive overview of text analytics/mining and Web analytics/mining along with their popular application areas such as search engines, sentiment analysis, and social network/media analytics. As we have been witnessing in recent years, the unstructured data generated over the Internet of Things (IoT) (Web, sensor networks, radio-frequency identification [RFID]–enabled supply chain systems, surveillance networks, etc.) are increasing at an exponential pace, and there is no indication of its slowing down. This changing nature of data is forcing organizations to make text and Web analytics a critical part of their business intelligence/analytics infrastructure.
CHAPTER OUTLINE
7.1 Opening Vignette: Amadori Group Converts Consumer Sentiments into
Near-Real-Time Sales
7.2 Text Analytics and Text Mining Overview
7.3 Natural Language Processing (NLP)
7.4 Text Mining Applications
7.5 Text Mining Process
7.6 Sentiment Analysis
7.7 Web Mining Overview
7.8 Search Engines
7.9 Web Usage Mining
7.10 Social Analytics
ANSWERS TO END OF SECTION REVIEW QUESTIONS( ( ( ( ( (
Section 7.1 Review Questions
1. According to the vignette and based on your opinion, what are the challenges that the food industry is facing today?
Student perceptions may vary, but some common themes related to the challenges faced by the food industry could include the changing nature and role of food in people’s lifestyles, the shift towards pre-prepared or easily prepared food, and the growing importance of marketing to keep customers interested in brands.
2. How can analytics help businesses in the food industry to survive and thrive in this competitive marketplace?
Analytics can serve dual purposes by both tracking customer interest in the brand as well as providing valuable feedback on customer preferences. An analytics system can be used to evaluate the traffic to various brand marketing campaigns (website or social) that play a pivotal role in ensuring that products are being shown to new pot.
16 Decision Support and Business Intelligence Systems (9th E.docxherminaprocter
16 Decision Support and Business Intelligence Systems (9th Edition) Instructor’s Manual
Chapter 7:
Text Analytics, Text Mining, and Sentiment Analysis
Learning Objectives for Chapter 7
1. Describe text mining and understand the need for text mining
2. Differentiate among text analytics, text mining, and data mining
3. Understand the different application areas for text mining
4. Know the process of carrying out a text mining project
5. Appreciate the different methods to introduce structure to text-based data
6. Describe sentiment analysis
7. Develop familiarity with popular applications of sentiment analysis
8. Learn the common methods for sentiment analysis
9. Become familiar with speech analytics as it relates to sentiment analysis
10. Learn three facets of Web analytics—content, structure, and usage mining
11. Know social analytics including social media and social network analyses
CHAPTER OVERVIEW
This chapter provides a comprehensive overview of text analytics/mining and Web analytics/mining along with their popular application areas such as search engines, sentiment analysis, and social network/media analytics. As we have been witnessing in recent years, the unstructured data generated over the Internet of Things (IoT) (Web, sensor networks, radio-frequency identification [RFID]–enabled supply chain systems, surveillance networks, etc.) are increasing at an exponential pace, and there is no indication of its slowing down. This changing nature of data is forcing organizations to make text and Web analytics a critical part of their business intelligence/analytics infrastructure.
CHAPTER OUTLINE
7.1 Opening Vignette: Amadori Group Converts Consumer Sentiments into
Near-Real-Time Sales
7.2 Text Analytics and Text Mining Overview
7.3 Natural Language Processing (NLP)
7.4 Text Mining Applications
7.5 Text Mining Process
7.6 Sentiment Analysis
7.7 Web Mining Overview
7.8 Search Engines
7.9 Web Usage Mining
7.10 Social Analytics
ANSWERS TO END OF SECTION REVIEW QUESTIONS( ( ( ( ( (
Section 7.1 Review Questions
1. According to the vignette and based on your opinion, what are the challenges that the food industry is facing today?
Student perceptions may vary, but some common themes related to the challenges faced by the food industry could include the changing nature and role of food in people’s lifestyles, the shift towards pre-prepared or easily prepared food, and the growing importance of marketing to keep customers interested in brands.
2. How can analytics help businesses in the food industry to survive and thrive in this competitive marketplace?
Analytics can serve dual purposes by both tracking customer interest in the brand as well as providing valuable feedback on customer preferences. An analytics system can be used to evaluate the traffic to various brand marketing campaigns (website or social) that play a pivotal role in ensuring that products are being shown to new pot.
Business capability mapping and business architectureSatyaIluri
Business architecture and capabilities mapping captures and encapsulates the essence of a business. Using capabilities enterprises can model their current and desired business capabilities with rich semantics and leverage these as Lego blocks to compose products/ initiatives, overlay them with value streams and processes, and capture requirements to evolve capabilities. Business capability mapping helps companies establish a common language, fosters business/IT alignment, helps reduce redundancy and rework, and aligns execution with strategy.
Presenter:
Dr. Gail Ferreira, Agile Practice Leader, MATRIX Resources, San Francisco Center of Excellence
Rapid scale directly impacts all levels of decision-making, planning, execution, culture, and communications for executives in hypergrowth companies. In this session, we will discuss how to organize, support, and tailor agile practices for teams and sub-teams in companies with a rapid growth cycle. We will share contemporary case studies of hypergrowth companies who have delivered agile at scale.
Topics will include:
• Basic agile and lean methods
• Scrum of Scrums
• SAFe
• Disciplined Agile Delivery (DAD)
• Agility at Scale (Ambler/Lines)
• Spotify model (Tribes, Squads, Chapters & Guilds, DSDM).
As we head into a new year, one thing is for sure, the world of technology and IT will continue to evolve and be disrupted at a frightening pace. The role of the modern IT organisation will thus need to adapt and be agile in order to keep pace with this changing landscape and to continue to be valuable to the organisations that they service. As IT estates become more complex, internal IT functions will need to become more mature and efficient in the way they operate in order to be perceived as a valued asset to the business. The release of IT4IT at the end of last year provides an interesting and potentially highly valuable reference architecture for IT organisations to use to help achieve this level of maturity and efficiency.
The IT4IT standard has really started to pick up momentum as we start 2016 and it is great to see the increase in the membership of the IT4IT forum as well as the general interest that is being seen in the industry for this new standard. I recently co-presented a webinar in collaboration with the Open Group where we looked at the potential real-world application and benefits that IT4IT can offer. Mandate and mindset will be critical to the successful use of IT4IT but I am confident that this approach has the potential to be very beneficial for many organisations as the role of the IT function continues to be redefined.
An Outcome Measurement Model: Is your Agile Adoption Moving the Needle?Cprime
The Version One Annual State of Agile survey indicates that 94% of organizations are practicing Agile in one way, shape, or form.
But what might this investment yield besides an Agile label? In many cases, it appears that organization leaders cannot produce concrete data to meet this ask, or articulate the gain clearly using measures that count and impact the bottom line.
One solution is to begin with the desired outcomes driving the adoption and identify both leading and lagging indicators to gauge whether the change initiative is moving the needle and impacting the bottom line. This approach has been successful because it creates alignment and accountability.
Join Michael McCalla, technology leader, transformation specialist, avid agile practitioner and founder of Lean Agile Intelligence, for this interactive session, and learn how this outcome measurement model can help you start changing the conversation!
How to Build the Data Mesh Foundation: A Principled Approach | Zhamak Dehghan...HostedbyConfluent
Organizations have been chasing the dream of data democratization, unlocking and accessing data at scale to serve their customers and business, for over a half a century from early days of data warehousing. They have been trying to reach this dream through multiple generations of architectures, such as data warehouse and data lake, through a cambrian explosion of tools and a large amount of investments to build their next data platform. Despite the intention and the investments the results have been middling.
In this keynote, Zhamak shares her observations on the failure modes of a centralized paradigm of a data lake, and its predecessor data warehouse.
She introduces Data Mesh, a paradigm shift in big data management that draws from modern distributed architecture: considering domains as the first class concern, applying self-sovereignty to distribute the ownership of data, applying platform thinking to create self-serve data infrastructure, and treating data as a product.
This talk introduces the principles underpinning data mesh and Zhamak's recent learnings in creating a path to bring data mesh to life in your organization.
Agile Transformation at scale is challenging that requires deep understanding and expertise of agility, discipline and hunger to change. In order to guide you for success in your transformation efforts, we created the Agile Transformation Governance Model. The governance model focuses on 5 key areas together with its 19 sub areas and creates high level of visibility for your transformation efforts.
Enterprise Knowledge - Taxonomy Design Best Practices and MethodologyEnterprise Knowledge
This presentation, origninally presented at the Knowledge Management Institute's KM Symposium on March 27, 2014, addresses the concepts of business taxonomy value, taxonomy design methodology, and taxonomy design best practices. It is intended as an introductory deck for anyone seeking guidance on taxonomy design efforts.
The Executives Step-by-Step Guide to Leading a Large-Scale Agile TransformationLeadingAgile
This talk explores a safe, pragmatic, and repeatable formula for leading change in large organizations. The Holy Grail for an executive is to tie dollars spent and activities performed, to internal improvement metrics and ultimately improved business performance. We’ll start by discussing the elements of an agile transformation business case and how to identify a meaningful value proposition for change. Next we’ll consider how to assess the organization and build an agile transformation strategy and roadmap that encourages an iterative and incremental approach to change. Finally we’ll explore the metrics and controls that help you know if you’re on the right track. Throughout the presentation, we’ll explore the change management and engagement techniques necessary to make sure you are building meaningful organizational support as you engage the enterprise. We’ll discuss how to build and execute a change management strategy to keep everyone safe and informed throughout the transformation. We’ll show how to sustain and improve the changes over time, ultimately creating an organizational ecosystem where business agility is part of the fundamental DNA of the company. The goal of this talk is to take the magic out of agile transformation and show you how to systematically and planfully introduce agile into your organization.
Learn how an evolved PMO can bring discipline to project prioritization, track project portfolios, and provide the support teams need to embrace Agile.
Future Proofing Your IT Operating Model for DigitalDavid Favelle
Having worked with Operating Model for over 10 years, Dave has new adopted DevOps, IT4IT and Continuous Delivery alongside traditional frameworks. The concept of the value stream is central to the thinking. The presentation was delivered as a Keynote at the Open Group in Amsterdam October 2017 -https://www.youtube.com/watch?v=Y7yH1JJKvqc&t=1969s
Note that Dave and the ValueFlow team deliver Operating Model on the ServiceNow platform.
Leading a large-scale agile transformation isn’t about adopting a new set of attitudes, processes, and behaviors at the team level… it’s about helping your company deliver faster to market, and developing the ability to respond to a rapidly-changing competitive landscape. First and foremost, it’s about achieving business agility. Business agility comes from people having clarity of purpose, a willingness to be held accountable, and the ability to achieve measurable outcomes. Unfortunately, almost everything in modern organizations gets in the way of teams acting with any sort of autonomy. In most companies, achieving business agility requires significant organizational change.
Agile transformation necessitates a fundamental rethinking of how your company organizes for delivery, how it delivers value to its customers, and how it plans and measures outcomes. Agile transformation is about building enabling structures, aligning the flow of work, and measuring for outcomes based progress. It's about breaking dependencies. The reality is that this kind of change can only be led from the top. This talk will explore how executives can define an idealized end-state for the transformation, build a fiscally responsible iterative and incremental plan to realize that end-state, as well as techniques for tracking progress and managing change.
Your Challenge
Organizations have to adapt to a growing number of trends, putting increased pressure on IT to move at the same speed as the business.
The business, seeing that IT is slower to react, looks to external solutions to address its challenges and capitalize on opportunities.
IT and business leaders don’t have a clear and unified understanding or definition of an operating model.
Our Advice
Critical Insight
The IT operating model is not a static entity and should evolve according to changing business needs.
However, business needs are diverse, and the IT organization must recognize that the business includes groups that consume technology in different patterns. The IT operating model needs to support and enable multiple groups, while continuously adapting to changing business conditions.
Impact and Result
Determine how each technology consumer group interacts with IT. Use consumer experience maps to determine what kind of services consumer groups use and if there are opportunities to improve the delivery of those services.
Identify how changing business conditions will affect the consumption of technology services. Classify your consumers based on business uncertainty and reliance on IT to plan for the future delivery of services.
Optimize the IT operating model. Create a target IT operating model based on the gathered information about technology service consumers. Select different implementations of common operating model elements: governance, sourcing, process, and structure.
DAS Slides: Data Architect vs. Data Engineer vs. Data ModelerDATAVERSITY
The increasing focus on data in today’s organization has increased demand for critical roles such as data architect, data engineer, and data modeler. But there is often confusion and ambiguity around what these roles entail, and what overlap exists between them. This webinar will discuss these data-centric roles and their place in the data-driven organization.
16 Decision Support and Business Intelligence Systems (9th E.docxRAJU852744
16 Decision Support and Business Intelligence Systems (9th Edition) Instructor’s Manual
Chapter 7:
Text Analytics, Text Mining, and Sentiment Analysis
Learning Objectives for Chapter 7
1. Describe text mining and understand the need for text mining
2. Differentiate among text analytics, text mining, and data mining
3. Understand the different application areas for text mining
4. Know the process of carrying out a text mining project
5. Appreciate the different methods to introduce structure to text-based data
6. Describe sentiment analysis
7. Develop familiarity with popular applications of sentiment analysis
8. Learn the common methods for sentiment analysis
9. Become familiar with speech analytics as it relates to sentiment analysis
10. Learn three facets of Web analytics—content, structure, and usage mining
11. Know social analytics including social media and social network analyses
CHAPTER OVERVIEW
This chapter provides a comprehensive overview of text analytics/mining and Web analytics/mining along with their popular application areas such as search engines, sentiment analysis, and social network/media analytics. As we have been witnessing in recent years, the unstructured data generated over the Internet of Things (IoT) (Web, sensor networks, radio-frequency identification [RFID]–enabled supply chain systems, surveillance networks, etc.) are increasing at an exponential pace, and there is no indication of its slowing down. This changing nature of data is forcing organizations to make text and Web analytics a critical part of their business intelligence/analytics infrastructure.
CHAPTER OUTLINE
7.1 Opening Vignette: Amadori Group Converts Consumer Sentiments into
Near-Real-Time Sales
7.2 Text Analytics and Text Mining Overview
7.3 Natural Language Processing (NLP)
7.4 Text Mining Applications
7.5 Text Mining Process
7.6 Sentiment Analysis
7.7 Web Mining Overview
7.8 Search Engines
7.9 Web Usage Mining
7.10 Social Analytics
ANSWERS TO END OF SECTION REVIEW QUESTIONS( ( ( ( ( (
Section 7.1 Review Questions
1. According to the vignette and based on your opinion, what are the challenges that the food industry is facing today?
Student perceptions may vary, but some common themes related to the challenges faced by the food industry could include the changing nature and role of food in people’s lifestyles, the shift towards pre-prepared or easily prepared food, and the growing importance of marketing to keep customers interested in brands.
2. How can analytics help businesses in the food industry to survive and thrive in this competitive marketplace?
Analytics can serve dual purposes by both tracking customer interest in the brand as well as providing valuable feedback on customer preferences. An analytics system can be used to evaluate the traffic to various brand marketing campaigns (website or social) that play a pivotal role in ensuring that products are being shown to new pot.
16 Decision Support and Business Intelligence Systems (9th E.docxherminaprocter
16 Decision Support and Business Intelligence Systems (9th Edition) Instructor’s Manual
Chapter 7:
Text Analytics, Text Mining, and Sentiment Analysis
Learning Objectives for Chapter 7
1. Describe text mining and understand the need for text mining
2. Differentiate among text analytics, text mining, and data mining
3. Understand the different application areas for text mining
4. Know the process of carrying out a text mining project
5. Appreciate the different methods to introduce structure to text-based data
6. Describe sentiment analysis
7. Develop familiarity with popular applications of sentiment analysis
8. Learn the common methods for sentiment analysis
9. Become familiar with speech analytics as it relates to sentiment analysis
10. Learn three facets of Web analytics—content, structure, and usage mining
11. Know social analytics including social media and social network analyses
CHAPTER OVERVIEW
This chapter provides a comprehensive overview of text analytics/mining and Web analytics/mining along with their popular application areas such as search engines, sentiment analysis, and social network/media analytics. As we have been witnessing in recent years, the unstructured data generated over the Internet of Things (IoT) (Web, sensor networks, radio-frequency identification [RFID]–enabled supply chain systems, surveillance networks, etc.) are increasing at an exponential pace, and there is no indication of its slowing down. This changing nature of data is forcing organizations to make text and Web analytics a critical part of their business intelligence/analytics infrastructure.
CHAPTER OUTLINE
7.1 Opening Vignette: Amadori Group Converts Consumer Sentiments into
Near-Real-Time Sales
7.2 Text Analytics and Text Mining Overview
7.3 Natural Language Processing (NLP)
7.4 Text Mining Applications
7.5 Text Mining Process
7.6 Sentiment Analysis
7.7 Web Mining Overview
7.8 Search Engines
7.9 Web Usage Mining
7.10 Social Analytics
ANSWERS TO END OF SECTION REVIEW QUESTIONS( ( ( ( ( (
Section 7.1 Review Questions
1. According to the vignette and based on your opinion, what are the challenges that the food industry is facing today?
Student perceptions may vary, but some common themes related to the challenges faced by the food industry could include the changing nature and role of food in people’s lifestyles, the shift towards pre-prepared or easily prepared food, and the growing importance of marketing to keep customers interested in brands.
2. How can analytics help businesses in the food industry to survive and thrive in this competitive marketplace?
Analytics can serve dual purposes by both tracking customer interest in the brand as well as providing valuable feedback on customer preferences. An analytics system can be used to evaluate the traffic to various brand marketing campaigns (website or social) that play a pivotal role in ensuring that products are being shown to new pot.
Mapping a path to the empowered searcherSheila Webber
I have uploaded this older paper about using mindmapping whilst teaching searching, as the ideas are still current, and the article is difficult to get hold of. This was presented at the Online 2002 meeting, and has been published formally as:
Webber, S. (2002) “Mapping a path to the empowered searcher.” In: Graham, C. (Ed) Online Information
2002: Proceedings: 3-5 December 2002. Oxford: Learned Information Europe. 177-181.
This copy was produced from the author’s original file.
Designing great dashboards: a slidedeck for dashboard developersMichele Pasin
After reading many useful papers and online resources on the topic of dashboards design, I realised I didn’t have a single document collecting and organising all of the useful ideas I encountered. So the purpose of this slidedeck is to serve as a (work-in-progress) handbook a dashboards developer can get back to, in order to find inspiration, advice, and maybe, even endorsement. Use at your own risk!
Search Analytics For Content Strategists @CSofNYCWIKOLO
Search is a conversation, learn to listen to what you visitors are telling you by understanding their search behavior. In this presentation we'll cover information foraging, search analysis, and how to use them and other techniques to improve your content without having to be a statistician.
Information Mapping Presentation for STC West Coast Chapter - Jan 29, 2014_finalChris MacMillan
Chris will provide an overview and answer questions about the Information Mapping® structured writing methodology. Information Mapping is a 45 year old content standard developed at Harvard and Columbia Universities and is used by companies and government around the globe to improve performance and productivity. Chris will demonstrate how the method works, talk about why companies use it, demo FS Pro — Information Mapping’s plug-in for Microsoft Word — and talk about where the method is going next in the technical communications world. Along with the overview, Chris will provide a few “Mapping” concepts and principles that you can use in your work right away.
Business owner findability interview questionsRavi Mynampaty
This is a companion document to the “Developing Findability Standards” slides
http://www.slideshare.net/mynampaty/developing-findability-standards. Please comment: what else would you have included? or asked differently?
1. Discussion (Chapter 3) Why are the originalraw data not readily.docxketurahhazelhurst
1. Discussion (Chapter 3): Why are the original/raw data not readily usable by analytics tasks? What are the main data preprocessing steps? List and explain their importance in analytics.
2. How do you describe the importance of data in analyt-ics? Can we think of analytics without data? Explain.
3. Considering the new and broad definition of business analytics, what are the main inputs and outputs to the analytics continuum?
4. Where do the data for business analytics come from? What are the sources and the nature of those incoming data?
5. What are the most common metrics that make for analytics-ready data
6. Go to data.gov—a U.S. government–sponsored data portal that has a very large number of data sets on a wide variety of topics ranging from healthcare to edu-cation, climate to public safety. Pick a topic that you are most passionate about. Go through the topic-specific information and explanation provided on the site. Explore the possibilities of downloading the data, and use your favorite data visualization tool to create your own meaningful information and visualizations.
.
Data Con LA 2022 - Collaborative Data Exploration using Conversational AIData Con LA
Anand Ranganathan, Chief AI Officer at Unscrambl
Conversational AI is getting more and more widely used for customer support and employee support use-cases. In this session, I'm going to talk about how it can be extended for data analysis and data science use-cases ... i.e., how users can interact with a bot to ask analytical questions on data in relational databases.
This allows users to explore complex datasets using a combination of text and voice questions, in natural language, and then get back results in a combination of natural language and visualizations. Furthermore, it allows collaborative exploration of data by a group of users in a channel in platforms like Microsoft Teams, Slack or Google Chat.
For example, a group of users in a channel can ask questions to a bot in plain English like ""How many cases of Covid were there in the last 2 months by state and gender"" or ""Why did the number of deaths from Covid increase in May 2022"", and jointly look at the results that come back. This facilitates data awareness, data-driven collaboration and joint decision making among teams in enterprises and outside.
In this talk, I'll describe how we can bring together various features including natural-language understanding, NL-to-SQL translation, dialog management, data story-telling, semantic modeling of data and augmented analytics to facilitate collaborate exploration of data using conversational AI.
In the information age, data turns to be the vital. Hence it is important to understand the data in order to face the future information challenges. This paper deals with the importance of data mining while explaining the concepts and life cycle involved. It extracts the basic gist of the topic presented in a user-friendly way. Further, in developing different stages of data mining followed by its extended application usage in practical business platform.
Search for the enterprise seems to have hit a wall. Bad search is the top complaint of users interacting with their internal data. Meanwhile, there is a seemingly never-ending flood of products, SaaS offerings and new solutions in the market all claiming and attempting to solve the problem.
In this roundtable, we will define what expectations organizations should really have about their search platforms and discuss what benefits to expect from using techniques like boosting, auto-classification, natural language processing, query expansion, entity extraction and ontologies. We will also explore what will supersede search in the enterprise.
This presentation covers a bit of UX history, evolution of the discipline and careers, and addresses the criticality of maintaining information architecture as part of the UX discipline.
Arguably one of the most concise books written on negotiation is “Getting to Yes” by Roger Fisher and William Ury. Some years ago I had the privilege to participate in a Harvard Negotiation Project led by Roger Fisher. Amazon describes this book as “One of the primary business texts of the modern era”. John Kenneth Galbraith said: "This is by far the best thing I've ever read about negotiation. It is equally relevant for the individual who would like to keep his friends, property, and income and the statesman who would like to keep the peace." Inspired by this course and for personal use I created a whimsical illustration using cartoon icons of the seven core principles: Interests, Options, Alternatives, Standards, Dialogue, Relationships and Commitment.
The Diplomatic Moment is described by the DiploFoundation as consisting of four converging events:
1. There is a rough 'balance of power' between states.
2. States acknowledge that they share important interests.
3. When states enjoy some degree of cultural uniformity.
4. When international communications between states are efficient and secure.
According to SlideShare which provides the template for this model: This is an inverse model of process representing a funnel analysis. It shows multiple arrows converting factors into a single entity.” This diplomatic model represents the convergence of four conditions that encourage diplomacy.
Brief biographies of the eleven European Mystics presented by Rudolf Steiner.
The mystics include:
Meister Eckhart
Johannes Tauler
Heinrich Suso
Jan van Ruysbroeck
Cardinal Nicolas of Cusa
Agrippa of Nettesheim
Theophrastus Paracelsus
Valentin Weigel
Jacob Boehme
Giordano Bruno and
Angelus Silesius
Understanding the nature of human communication and its intersection with visual thinking. This includes examples from archeology to explain the transmission of culture.
“The squaring of the circle is a stage on the way to the unconscious, a point of transition leading to a goal lying as yet unformulated beyond it. It is one of those paths to the centre.”
C.G. Jung
Video Thrive Society
Module 6
Lessons 1 to 5
1. Traffic Generation Machine
2. How I Ran Facebook Ad campaigns for Vidtasia
3. Facebook ads from scratch
4. Facebook Ad Retargeting
5. Instagram Ad
This presentation considers the 6 questions which thoughtful people have asked themselves in every age.
In the Napkin Academy these questions are referred to as the 6 by 6 Rule.
Here it is called the Pyramid Pie. .
Video Thrive Society
Next Level Video Marketing
Module 6 Lesson 1
Online Traffic Generation
This is the first of several lessons that will be added to this sixth module.
First in a series of presentations for the Thrive Video Society marketing group.VIDEO THRIVE SOCIETY
Your Business and Your Goal
Session 1 Lessons 1 to 4
The General Principles and Assignments
An exploration of the little-known geometric images that accompany most cave art around the world—the first indications of symbolic meaning, intelligence, and language. Based in large part on the research of Genevieve von Petzinger..
Tai Chi Chuan is a martial discipline whose expression may be interpreted through the 6 X 6 rule.
1) Connection: Who & What
2) Confidence: How much/
3) Movement: Where?
4) Rhythm: When?
5) Technique /Style: How?
6) Purpose: Why?
Among experts there may be considerable disagreement on the precise meaning and correct translation of Tai Chi Chuan. Here I suggest a personal rather than linguistic interpretation of this ancient Chinese art which has both a healing and a martial dimension. It may be conceived as a cosmic tree cultivated in the garden of human consciousness the fruit of which is best appreciated through practice rather than discourse.
Visual Fusion - A Path Out of Verbal ConfusionClarity Thinker
This is an exercise in creating visual correspondences with verbal precepts or concepts. The example is drawn from a quote by Francis Bacon:
“For myself, I found that I was fitted for nothing so well as for the study of Truth; as having a mind nimble and versatile enough to catch the resemblances of things and at the same time steady enough to fix and distinguish their subtler differences; as being gifted by nature with desire to seek, patience to doubt, fondness to meditate, slowness to assert, readiness to consider, carefulness to dispose and set in order; and as being a man that neither affects what is new nor admires what is old, and that hates every kind of imposture.
So I thought my Nature had a kind of familiarity and Relationship with Truth.”
Francis Bacon
"Of the Interpretation of Nature" 1603-4
This exercise examines the 6 principles of truth from the preceding quote by Francis Bacon; i.e. :
As being gifted by Nature with:
1. Desire to seek
2. Patience to Doubt
3. Fondness to Meditate
4. Slowness to assert
5. Readiness to consider
6. Carefulness to dispose and set in order
These six precepts are considered in relation to the 6 X 6 Rule; or what are sometimes called the 6 questions of journalism.
Finally, these 6 principles are fused into 3 new principles. by considering a middle term between each pair.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Thesis Statement for students diagnonsed withADHD.ppt
The power of information mapping to inform
1. The 3 components of Information Mapping:
(1)Analysis, (2) Organization, (3) Presentation
Based on the research of Robert Horn and
the presentation by Information Mapping
John D. Hipsley
September 17th, 2018
2. Visual language is defined as
the tight integration of words and visual elements
and as having characteristics
that distinguish it from natural languages
as a separate communication tool
as well as a distinctive subject of research.
It has been called visual language
although it might well have been called visual-verbal language.
- Robert Horn -
Definition of Visual Language
3. BASED ON THE RESEARCH OF ROBERT HORN’S
METHODOLOGY OF INFORMATION MAPPING
• Cognitive Psychology
• Learning Theory
• Instructional Design
• Usability
5. 3 COMPONENTS OF THE METHODOLOGY
Part I: 6 Information Types
• Analyze your source material, identify and classify
your mission-critical content
Part II: 6 Research-Based Principles
• Organize and structure your content hierarchically so
it’s modular and user-focused
Part III: Modular Information Units
• Present your content in consistent ways that
support quick retrieval and user comprehension
7. COMPONENTS OF THE METHOD
6 INFORMATIONAL TYPES
1) Procedure
2) Process
3) Principle
Help you analyze the subject matter and categorize it according to its purpose for the audience
4) Concept
5) Structure
6) Fact
17. What are the parts
of the dashboard?
Information Type #5: Structure
18. 6. Fact
HOW IS SOMETHING DEFINED?
HOW IS IT PROVED AS TRUE OR FALSE?
19. What is the maximum
speed of the car?
Information Type 6: Fact
20. How do I change
the tire?
What is an airbag?
Should I drive on the
left or right hand
side of the road?
How does the
engine work?
What is the maximum
speed of the car?
What are the parts
of the dashboard?
Example: 6 Information Types
23. COMPONENTS OF THE METHOD
6 RESEARCH-BASED PRINCIPLES
1) Chunking
2) Relevance
3) Labeling
4) Consistency
5) Integrated Graphics
6) Accessible Detail
Allow you to organize information effectively so that it is easy to access, understand, and remember
24. 6 Research Based Principles
Chunking ConsistencyRelevance Labeling
Accessible
Detail
Integrated
Graphics
26. METHOD COMPONENT NUMBER III: MODULAR INFORMATION UNITS
Separator One Main Idea
Label
Sentence(s), list,
table, graphic or
multimedia
Separator
(1) BLOCK
Manageable chunk of related information
27. METHOD COMPONENT NUMBER III: MODULAR INFORMATION UNITS
(2) MAP
Collection of related blocks and a title – with labels and tables
Title
Block
Block
Block
Labels
Tables
28. WHAT IS THE PURPOSE?
TO TRANSFORM THE WAY WE INTERACT WITH INFORMATION
SO IT IS ACCESSIBLE, UNDERSTANDABLE AND MEMORABLE FOR THE USER
Before After
29. INFORMATION MAPPING CHECKLIST ALIGNED WITH 6 QUESTIONS
TO TRANSFORM THE WAY WE INTERACT WITH INFORMATION
1) HAVE WE ASSESSED OUR LEARNER AND AUDIENCE NEEDS?: WHO & WHAT?
2) HAVE WE CATEGORIZED INFORMATION BY TYPE AND PURPOSE?: HOW?
3) IS PRESENTATION AND INFORMATION ORGANIZED FROM THE RELEVANT
PERSPECTIVE OF THE LEARNER/READER/AUDIENCE?: WHERE?
4) ARE THE LANGUAGE AND FORMATTING CONSISTENT?: HOW MUCH?
5) HAVE WE MADE THE INFORMATION ACCESSIBLE?: WHEN?
6) IS IT PRESENTED IN SMALL, EASILY REUSABLE (AND MEMORABLE) UNITS?: WHY?