This document outlines an agenda for a visualization and storytelling workshop. It includes an introduction, followed by several sessions on making sense of data, communicating with charts, and strategy mapping. It provides examples and exercises for participants to practice visualizing and making meaning from data, including gender statistics, age bias in arrests, and strategy mapping using Wardley maps. Breaks are scheduled between each session.
Joanna Lord - How to Operationalize Growth & Drive RevenueTuring Fest
In this presentation Joanna will talk through the many levers of growth, and how to organize your teams, processes, and channels to maximize growth. She’ll give examples of how the best companies in the world created growth engines, and leave you with tactics to bring back to your teams and beat out your competitors.
Big Data: selling the Business Case to the businessJ On The Beach
Big Data: selling the Business Case to the business by Eline Brandt & Javier de la Torre Medina
Big Data, every company loves the idea of it, but often, selling the Business Case is a challenge. So how to build a successful Business Case for your Big Data initiative for the Business Users? This presentation is based on the most common objections one gets, and how to deal with them. We'll go through one of my most surprising projects, look at the lessons learned and how can we optimize the Business Case?
Predictive Analytics for Everyone! Building CART Models using R - Chantal D....Chantal Larose
I had the pleasure to lead a wonderfully successful workshop March 8 2017, which focused on helping fellow faculty
across the disciplines learn how to utilize R programming and CART models in their research
AMES 2016 - The Human Side of AnalyticsStephen Tracy
Last year the global analytics industry was estimated to be worth $125 billion in hardware, software and services revenue. Consequently the market has been flooded with more tools, platforms and tech than you can shake a calculator at. When it comes to data, the core challenge many businesses face today seems to have less to do with analytics technology and infrastructure and more to do with finding the right people, talent and skills. In this presentation Stephen will share 10 lessons for building a successful analytics program through a ‘people-first’ strategy.
'Business Analytics with 'R' at Edureka will prepare you to perform analytics and build models for real world data science problems. It is the world’s most powerful programming language for statistical computing and graphics making it a must know language for the aspiring Data Scientists. 'R' wins strongly on Statistical Capability, Graphical capability, Cost and rich set of packages.
Joanna Lord - How to Operationalize Growth & Drive RevenueTuring Fest
In this presentation Joanna will talk through the many levers of growth, and how to organize your teams, processes, and channels to maximize growth. She’ll give examples of how the best companies in the world created growth engines, and leave you with tactics to bring back to your teams and beat out your competitors.
Big Data: selling the Business Case to the businessJ On The Beach
Big Data: selling the Business Case to the business by Eline Brandt & Javier de la Torre Medina
Big Data, every company loves the idea of it, but often, selling the Business Case is a challenge. So how to build a successful Business Case for your Big Data initiative for the Business Users? This presentation is based on the most common objections one gets, and how to deal with them. We'll go through one of my most surprising projects, look at the lessons learned and how can we optimize the Business Case?
Predictive Analytics for Everyone! Building CART Models using R - Chantal D....Chantal Larose
I had the pleasure to lead a wonderfully successful workshop March 8 2017, which focused on helping fellow faculty
across the disciplines learn how to utilize R programming and CART models in their research
AMES 2016 - The Human Side of AnalyticsStephen Tracy
Last year the global analytics industry was estimated to be worth $125 billion in hardware, software and services revenue. Consequently the market has been flooded with more tools, platforms and tech than you can shake a calculator at. When it comes to data, the core challenge many businesses face today seems to have less to do with analytics technology and infrastructure and more to do with finding the right people, talent and skills. In this presentation Stephen will share 10 lessons for building a successful analytics program through a ‘people-first’ strategy.
'Business Analytics with 'R' at Edureka will prepare you to perform analytics and build models for real world data science problems. It is the world’s most powerful programming language for statistical computing and graphics making it a must know language for the aspiring Data Scientists. 'R' wins strongly on Statistical Capability, Graphical capability, Cost and rich set of packages.
Creating a Data-Driven Organization, Data Day Texas, January 2016Carl Anderson
What does it mean for an organization to be data-driven? How does an organization get there? Many organizations think that they are data-driven but the reality is that few genuinely are and that we could all do better. In this talk, I cover what it truly means to be data driven. The answer, it turns out, is not to do with the latest tools and technologies (although they can help) but having an appropriate data culture than spans the whole organization, where data is accessible broadly, embedded into operations and processes, and enables effective decision making. In this presentation, I dissect what an effective data-driven culture entails, covering facets such as data leadership, data literacy, and A/B testing, illustrating concepts with examples from different industries as well as personal experience.
Companies can get stuck trying to analyze all that’s possible
and all that they could do through analytics, when they should
be taking that next step of recognizing what’s important and
what they should be doing
Data Science Training | Data Science Tutorial for Beginners | Data Science wi...Edureka!
***** Data Science Training - https://www.edureka.co/data-science *****
This Edureka tutorial on "Data Science Training" will provide you with a detailed and comprehensive training on Data Science, the real-life use cases and the various paths one can take to become a data scientist. It will also help you understand the various phases of Data Science.
Data Science Blog Series: https://goo.gl/1CKTyN
http://www.edureka.co/data-science
Data Science For Beginners | Who Is A Data Scientist? | Data Science Tutorial...Edureka!
** Data Science Certification using R: https://www.edureka.co/data-science **
This Edureka "Data Science for Beginners" PPT talks about the basic concepts of Data Science, which includes machine learning algorithms as well as the roles & responsibilities of a Data Scientist. It also includes a demo using R Studio, that attempts to make sense of all the Data generated in the real world. This PPT talks about the most crucial aspects of data science and covers the following topics:
Why Data Science?
What is Data Science?
Who is a Data Scientist?
What does a Data Scientist do?
How to solve a problem in Data Science?
Data Science Tools
Demo
Check out our Data Science Tutorial blog series: http://bit.ly/data-science-blogs
Check out our complete YouTube playlist here: http://bit.ly/data-science-playlist
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
How to Modernize Your Data Strategy to Fuel Digital TransformationBrainSell Technologies
Learn how setting up a solid data foundation will position your company for predictable growth and scale by leveraging all the insights at your disposal.
Slides from my presentation at the Data Intelligence conference in Washington DC (6/23/2017). See this link for the abstract: http://www.data-intelligence.ai/presentations/36
DataEd Slides: Data Strategy — Plans Are Useless, but Planning Is InvaluableDATAVERSITY
Too often, I hear the question, “Can you help me with our Data Strategy?” Unfortunately, for most, this is the wrong request because it focuses on the least valuable component — the Data Strategy itself. A more useful request is, “Can you help me apply data strategically?” Yes, at early maturity phases, the process of developing strategic thinking about data is more important than the actual product! Trying to write a good (much less perfect) Data Strategy on the first attempt is generally not productive — particularly giving the widespread acceptance of Mike Tyson’s truism: “Everybody has a plan until they get punched in the face.” Refocus on learning how to iteratively improve the way data is strategically applied. This will permit data-based strategy components to keep up with agile, evolving organizational strategies. This approach can also contribute to three primary organizational data goals. Learn how improving the following will help in ways never imagined:
• Your organization’s data
• The way your people use data
• The way your people use data to achieve your organizational strategy
Data is your sole non-depletable, non-degradable, durable strategic asset, and it is pervasively shared across every organizational area. Addressing existing challenges programmatically includes overcoming necessary but insufficient prerequisites and developing a disciplined, repeatable means of improving business objectives. This process (based on the theory of constraints) is where the strategic data work really occurs as organizations identify prioritized areas where better assets, literacy, and support (Data Strategy components) can help an organization better achieve specific strategic objectives. Then the process becomes lather, rinse, and repeat. Several complementary concepts are also covered, including:
• A cohesive argument for why Data Strategy is necessary for effective Data Governance
• An overview of prerequisites for effective strategic use of Data Strategy, as well as common pitfalls
• A repeatable process for identifying and removing data constraints
• The importance of balancing business operation and innovation
In part 2, EMSI's John Pernsteiner will discuss how you can apply the same principles used successfully in Nevada in your region. In particular, John will focus on the three elements of economic development research—data collection, analysis, and dissemination.
Recruiting is arguably the HR function with highest visibility across every organization. Talent acquisition remains an ever-present concern for business leaders who risk declines in productivity if they can't fill their talent pipeline. To ensure success, HR teams need be vigilant about measuring the effectiveness of the hiring process.
But that's easier said than done. While plenty of applicant tracking systems and other recruiting tools are set up to report on hiring activities, rates, and costs, they typically stop tracking applicants as soon as they're hired. Because of that crucial limitation—and because data about the long-term performance of the workforce inevitably lives in a vast array of disconnected systems—measuring the lasting impact of the recruiting process becomes a daunting, insurmountable task.
Join workforce expert Ian Cook or this one-hour session to learn how talent acquisition teams can get past those hurdles to uncover insights from beyond their ATS that will help them:
Discover which hiring activities improve quality of hire across the full employee lifecycle
Optimize the recruiting process to target and hire candidates proven to have the best business impact over the long term
Create more accurate hiring plans that draw on historical rates for turnover and hiring success
Choose the right mix of FTE, agency, and RPO recruiting by comparing costs over time for each option
#bluecruxtalks crash course - Part 1 - Master Data Factories.pdfBluecrux
Today, organizations transform their planning landscape by implementing powerful APS solutions with the intention of achieving supply chain excellence by:
- Gaining end-to-end visibility
- Improving customer experience
- Increasing cash conversion
- Increasing efficiency
- Improving effectiveness
However, few of them have the data foundation needed to take full advantage of their APS capabilities because these solutions require larger quantities of data, of higher complexity, and higher quality.
We have identified 7 guiding principles for successful data governance after many planning transformations made at clients such as J&J, Roche, Novo Nordisk, Astra Zeneca...
Creating a Data-Driven Organization, Data Day Texas, January 2016Carl Anderson
What does it mean for an organization to be data-driven? How does an organization get there? Many organizations think that they are data-driven but the reality is that few genuinely are and that we could all do better. In this talk, I cover what it truly means to be data driven. The answer, it turns out, is not to do with the latest tools and technologies (although they can help) but having an appropriate data culture than spans the whole organization, where data is accessible broadly, embedded into operations and processes, and enables effective decision making. In this presentation, I dissect what an effective data-driven culture entails, covering facets such as data leadership, data literacy, and A/B testing, illustrating concepts with examples from different industries as well as personal experience.
Companies can get stuck trying to analyze all that’s possible
and all that they could do through analytics, when they should
be taking that next step of recognizing what’s important and
what they should be doing
Data Science Training | Data Science Tutorial for Beginners | Data Science wi...Edureka!
***** Data Science Training - https://www.edureka.co/data-science *****
This Edureka tutorial on "Data Science Training" will provide you with a detailed and comprehensive training on Data Science, the real-life use cases and the various paths one can take to become a data scientist. It will also help you understand the various phases of Data Science.
Data Science Blog Series: https://goo.gl/1CKTyN
http://www.edureka.co/data-science
Data Science For Beginners | Who Is A Data Scientist? | Data Science Tutorial...Edureka!
** Data Science Certification using R: https://www.edureka.co/data-science **
This Edureka "Data Science for Beginners" PPT talks about the basic concepts of Data Science, which includes machine learning algorithms as well as the roles & responsibilities of a Data Scientist. It also includes a demo using R Studio, that attempts to make sense of all the Data generated in the real world. This PPT talks about the most crucial aspects of data science and covers the following topics:
Why Data Science?
What is Data Science?
Who is a Data Scientist?
What does a Data Scientist do?
How to solve a problem in Data Science?
Data Science Tools
Demo
Check out our Data Science Tutorial blog series: http://bit.ly/data-science-blogs
Check out our complete YouTube playlist here: http://bit.ly/data-science-playlist
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
How to Modernize Your Data Strategy to Fuel Digital TransformationBrainSell Technologies
Learn how setting up a solid data foundation will position your company for predictable growth and scale by leveraging all the insights at your disposal.
Slides from my presentation at the Data Intelligence conference in Washington DC (6/23/2017). See this link for the abstract: http://www.data-intelligence.ai/presentations/36
DataEd Slides: Data Strategy — Plans Are Useless, but Planning Is InvaluableDATAVERSITY
Too often, I hear the question, “Can you help me with our Data Strategy?” Unfortunately, for most, this is the wrong request because it focuses on the least valuable component — the Data Strategy itself. A more useful request is, “Can you help me apply data strategically?” Yes, at early maturity phases, the process of developing strategic thinking about data is more important than the actual product! Trying to write a good (much less perfect) Data Strategy on the first attempt is generally not productive — particularly giving the widespread acceptance of Mike Tyson’s truism: “Everybody has a plan until they get punched in the face.” Refocus on learning how to iteratively improve the way data is strategically applied. This will permit data-based strategy components to keep up with agile, evolving organizational strategies. This approach can also contribute to three primary organizational data goals. Learn how improving the following will help in ways never imagined:
• Your organization’s data
• The way your people use data
• The way your people use data to achieve your organizational strategy
Data is your sole non-depletable, non-degradable, durable strategic asset, and it is pervasively shared across every organizational area. Addressing existing challenges programmatically includes overcoming necessary but insufficient prerequisites and developing a disciplined, repeatable means of improving business objectives. This process (based on the theory of constraints) is where the strategic data work really occurs as organizations identify prioritized areas where better assets, literacy, and support (Data Strategy components) can help an organization better achieve specific strategic objectives. Then the process becomes lather, rinse, and repeat. Several complementary concepts are also covered, including:
• A cohesive argument for why Data Strategy is necessary for effective Data Governance
• An overview of prerequisites for effective strategic use of Data Strategy, as well as common pitfalls
• A repeatable process for identifying and removing data constraints
• The importance of balancing business operation and innovation
In part 2, EMSI's John Pernsteiner will discuss how you can apply the same principles used successfully in Nevada in your region. In particular, John will focus on the three elements of economic development research—data collection, analysis, and dissemination.
Recruiting is arguably the HR function with highest visibility across every organization. Talent acquisition remains an ever-present concern for business leaders who risk declines in productivity if they can't fill their talent pipeline. To ensure success, HR teams need be vigilant about measuring the effectiveness of the hiring process.
But that's easier said than done. While plenty of applicant tracking systems and other recruiting tools are set up to report on hiring activities, rates, and costs, they typically stop tracking applicants as soon as they're hired. Because of that crucial limitation—and because data about the long-term performance of the workforce inevitably lives in a vast array of disconnected systems—measuring the lasting impact of the recruiting process becomes a daunting, insurmountable task.
Join workforce expert Ian Cook or this one-hour session to learn how talent acquisition teams can get past those hurdles to uncover insights from beyond their ATS that will help them:
Discover which hiring activities improve quality of hire across the full employee lifecycle
Optimize the recruiting process to target and hire candidates proven to have the best business impact over the long term
Create more accurate hiring plans that draw on historical rates for turnover and hiring success
Choose the right mix of FTE, agency, and RPO recruiting by comparing costs over time for each option
#bluecruxtalks crash course - Part 1 - Master Data Factories.pdfBluecrux
Today, organizations transform their planning landscape by implementing powerful APS solutions with the intention of achieving supply chain excellence by:
- Gaining end-to-end visibility
- Improving customer experience
- Increasing cash conversion
- Increasing efficiency
- Improving effectiveness
However, few of them have the data foundation needed to take full advantage of their APS capabilities because these solutions require larger quantities of data, of higher complexity, and higher quality.
We have identified 7 guiding principles for successful data governance after many planning transformations made at clients such as J&J, Roche, Novo Nordisk, Astra Zeneca...
Data Visualization for Policy Decision Making (impulse talk)Jose Berengueres
Agile Government: Becoming Future-Proof
InterContinental Dubai Festival City
17 - 18 February 2020
Impulse talk
more info can be found at https://www.uaepublicpolicyforum.ae/
Attending a job Interview for B1 and B2 Englsih learnersErika906060
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This 60-minute webinar, sponsored by Adobe, was delivered for the Training Mag Network. It explored the five elements of SPARK: Storytelling, Purpose, Action, Relationships, and Kudos. Knowing how to tell a well-structured story is key to building long-term memory. Stating a clear purpose that doesn't take away from the discovery learning process is critical. Ensuring that people move from theory to practical application is imperative. Creating strong social learning is the key to commitment and engagement. Validating and affirming participants' comments is the way to create a positive learning environment.
Memorandum Of Association Constitution of Company.pptseri bangash
www.seribangash.com
A Memorandum of Association (MOA) is a legal document that outlines the fundamental principles and objectives upon which a company operates. It serves as the company's charter or constitution and defines the scope of its activities. Here's a detailed note on the MOA:
Contents of Memorandum of Association:
Name Clause: This clause states the name of the company, which should end with words like "Limited" or "Ltd." for a public limited company and "Private Limited" or "Pvt. Ltd." for a private limited company.
https://seribangash.com/article-of-association-is-legal-doc-of-company/
Registered Office Clause: It specifies the location where the company's registered office is situated. This office is where all official communications and notices are sent.
Objective Clause: This clause delineates the main objectives for which the company is formed. It's important to define these objectives clearly, as the company cannot undertake activities beyond those mentioned in this clause.
www.seribangash.com
Liability Clause: It outlines the extent of liability of the company's members. In the case of companies limited by shares, the liability of members is limited to the amount unpaid on their shares. For companies limited by guarantee, members' liability is limited to the amount they undertake to contribute if the company is wound up.
https://seribangash.com/promotors-is-person-conceived-formation-company/
Capital Clause: This clause specifies the authorized capital of the company, i.e., the maximum amount of share capital the company is authorized to issue. It also mentions the division of this capital into shares and their respective nominal value.
Association Clause: It simply states that the subscribers wish to form a company and agree to become members of it, in accordance with the terms of the MOA.
Importance of Memorandum of Association:
Legal Requirement: The MOA is a legal requirement for the formation of a company. It must be filed with the Registrar of Companies during the incorporation process.
Constitutional Document: It serves as the company's constitutional document, defining its scope, powers, and limitations.
Protection of Members: It protects the interests of the company's members by clearly defining the objectives and limiting their liability.
External Communication: It provides clarity to external parties, such as investors, creditors, and regulatory authorities, regarding the company's objectives and powers.
https://seribangash.com/difference-public-and-private-company-law/
Binding Authority: The company and its members are bound by the provisions of the MOA. Any action taken beyond its scope may be considered ultra vires (beyond the powers) of the company and therefore void.
Amendment of MOA:
While the MOA lays down the company's fundamental principles, it is not entirely immutable. It can be amended, but only under specific circumstances and in compliance with legal procedures. Amendments typically require shareholder
Kseniya Leshchenko: Shared development support service model as the way to ma...Lviv Startup Club
Kseniya Leshchenko: Shared development support service model as the way to make small projects with small budgets profitable for the company (UA)
Kyiv PMDay 2024 Summer
Website – www.pmday.org
Youtube – https://www.youtube.com/startuplviv
FB – https://www.facebook.com/pmdayconference
What are the main advantages of using HR recruiter services.pdfHumanResourceDimensi1
HR recruiter services offer top talents to companies according to their specific needs. They handle all recruitment tasks from job posting to onboarding and help companies concentrate on their business growth. With their expertise and years of experience, they streamline the hiring process and save time and resources for the company.
Unveiling the Secrets How Does Generative AI Work.pdfSam H
At its core, generative artificial intelligence relies on the concept of generative models, which serve as engines that churn out entirely new data resembling their training data. It is like a sculptor who has studied so many forms found in nature and then uses this knowledge to create sculptures from his imagination that have never been seen before anywhere else. If taken to cyberspace, gans work almost the same way.
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Looking for professional printing services in Jaipur? Navpack n Print offers high-quality and affordable stationery printing for all your business needs. Stand out with custom stationery designs and fast turnaround times. Contact us today for a quote!
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The world of search engine optimization (SEO) is buzzing with discussions after Google confirmed that around 2,500 leaked internal documents related to its Search feature are indeed authentic. The revelation has sparked significant concerns within the SEO community. The leaked documents were initially reported by SEO experts Rand Fishkin and Mike King, igniting widespread analysis and discourse. For More Info:- https://news.arihantwebtech.com/search-disrupted-googles-leaked-documents-rock-the-seo-world/
Tata Group Dials Taiwan for Its Chipmaking Ambition in Gujarat’s DholeraAvirahi City Dholera
The Tata Group, a titan of Indian industry, is making waves with its advanced talks with Taiwanese chipmakers Powerchip Semiconductor Manufacturing Corporation (PSMC) and UMC Group. The goal? Establishing a cutting-edge semiconductor fabrication unit (fab) in Dholera, Gujarat. This isn’t just any project; it’s a potential game changer for India’s chipmaking aspirations and a boon for investors seeking promising residential projects in dholera sir.
Visit : https://www.avirahi.com/blog/tata-group-dials-taiwan-for-its-chipmaking-ambition-in-gujarats-dholera/
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
3.0 Project 2_ Developing My Brand Identity Kit.pptxtanyjahb
A personal brand exploration presentation summarizes an individual's unique qualities and goals, covering strengths, values, passions, and target audience. It helps individuals understand what makes them stand out, their desired image, and how they aim to achieve it.
Digital Transformation and IT Strategy Toolkit and TemplatesAurelien Domont, MBA
This Digital Transformation and IT Strategy Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants, after more than 5,000 hours of work. It is considered the world's best & most comprehensive Digital Transformation and IT Strategy Toolkit. It includes all the Frameworks, Best Practices & Templates required to successfully undertake the Digital Transformation of your organization and define a robust IT Strategy.
Editable Toolkit to help you reuse our content: 700 Powerpoint slides | 35 Excel sheets | 84 minutes of Video training
This PowerPoint presentation is only a small preview of our Toolkits. For more details, visit www.domontconsulting.com
8. data > information > kn > wisdom
many --------------------> one
many ----------------------> scarce ?
-----------------------------> value arrow ?
1 What is data?
9. data > information > kn > wisdom
many --------------------> one
many ----------------------> scarce ?
-----------------------------> value?
1 What is data?
11. data > HOW ? > wisdom
2 How to arrive to wisdom?
12. data > HOW ? > wisdom
2 How to arrive to wisdom?
Synthesis process: the dialectic combination of thesis and antithesis into a
higher stage of truth
22. 6 Exercise! Visualize the following Gender statistic
Of all the 23,859 respondents
of the 2018 kaggle data science survey 4,513
said they were female.
45. 11 Execisie! Salary distribution of data scientists...
#HMW make more meaning?
https://www.kaggle.com/headsortails/what-we-do-in-the-
kernels-a-kaggle-survey-story/report
46. How to use gravity to convey power?
< -- ? -- >
59. Schedule
13:30 Intro
13:40 (1) Making sense of data
14:10 break
14:20 (2) Communicating w/ charts
14:50 break
15:00 (3) Strategy Mapping
60. 12 Cultural locales
• color meaning by country
• color awarenes by gender
• color awarenss by profession
• sexism awareness by country
• Right to left languages
61. 13 Storytelling patterns
Patterns of succesful storytelling
• A/B (testing, advertising)
• What is... What could be (duarte)
• Aha moment! (Welch)
• Heroes journey (duarte)
62.
63. 14 Storytelling patterns in charts: symbolic charts
1. Winners
2. Visualizing ALL OR NOTHING relationships
3. Expressing Enormity
4. Empathy & Personas
5. Log vs. Volumetric charts
69. 17 Expressing enormity. Exercise! How would you express the follwowing..
• # of chart in the universe 102,023,342,012
• # of those charts which are great 9,993
75. 19 Age bias in arrests in USA. Exercise! HMW empathise this chart?
https://www.kaggle.com/harriken/police-dogs-and-grey-hair-will-save-you-from-jail
77. 19 Gender & Violence in in arrests in USA. Exercise! HMW empathise this
chart?
https://www.kaggle.com/harriken/police-dogs-and-grey-hair-will-save-you-from-jail
90. Story telling?
- What is storytelling?
- Why does it work?
- culture, folklore, and now science
- Why is it addicitve?
91. Exercise
- Try to remember the following sequence
of facts A , B, C
- Make a story
- A killed C with B
- remember test.
(brain is essy to remmebr relations, not data)
93. case 1
data > stories > NArrative
Facts > methods > beliefs
94. case 2
data > stories > NArrative
Facts > methods > beliefs
95. case 2 Scatters: mean in your sector vs
you – mean
https://www.mckinsey.com/business-functions/strategy-and-
corporate-finance/our-insights/enduring-ideas-the-7-s-
framework
96. case 2 Scatters: mean in your sector vs
you – mean
https://www.mckinsey.com/business-functions/strategy-and-
corporate-finance/our-insights/enduring-ideas-the-7-s-
framework
97. case 2 Scatters: mean in your sector vs
you – mean
https://www.mckinsey.com/business-functions/strategy-and-
corporate-finance/our-insights/enduring-ideas-the-7-s-
framework
98. case 2 Scatters: mean in your sector vs
you – mean
https://www.mckinsey.com/business-functions/strategy-and-
corporate-finance/our-insights/enduring-ideas-the-7-s-
framework
99. case 2 Scatters: strategic control
https://www.mckinsey.com/business-functions/strategy-and-
corporate-finance/our-insights/enduring-ideas-the-7-s-
framework
100. case 2 Scatters: RFC
https://www.mckinsey.com/business-functions/strategy-and-
corporate-finance/our-insights/enduring-ideas-the-7-s-
framework
101. [1] https://www.aauw.org/research/solving-the-equation/
[2] https://www.theverge.com/2018/11/2/18057716/google-walkout-20-thousand-employees-ceo-sundar-pichai-meeting
[3] https://www.forbes.com/sites/womensmedia/2017/08/03/breaking-down-the-gender-gap-in-data-science/#129d1bb74287
[4] https://www.kaggle.com/paultimothymooney/2018-kaggle-machine-learning-data-science-survey
[5] https://en.wikipedia.org/wiki/Generations_in_the_workforce
[6] Sinton, E (2011). ‘Baby boomers are very privileged human beings’ https://www.telegraph.co.uk/finance/personalfinance/pensions/8840963/Baby-
boomers-are-very-privileged-human-beings.html retrieved October 23, 2013 from www.telegraph.co.uk
[7] Ken Blanchard Companies. (2009). Next Generation of
workers. http://www.kenblanchard.com/img/pub/Blanchard_Next_Generation_of_Workers.pdf Retrieved October 14, 2013, from kenblanchard.com
[8] Adecco Group UK and Ireland. (n.d.). Managing the modern workforce. http://www.adeccogroupuk.co.uk/SiteCollectionDocuments/Adecco-Group-
Workplace-Revolution.pdf Retrieved October 13, 2013, from www.Adeccouk.co.uk
ref. needed
[10] https://en.wikipedia.org/wiki/Affluence_in_the_United_States
[11] https://www.epi.org/blog/top-1-0-percent-reaches-highest-wages-ever-up-157-percent-since-1979/
[12] J. Berengueres, Sketch thinking. 2016
[13] https://en.wikipedia.org/wiki/Marimekko#Marimekko_chart
[14] ref. needed
[15] https://www.kaggle.com/ash316/kaggle-journey-2017-2018
[16] https://en.wikipedia.org/wiki/BRICS
[17] https://www.kaggle.com/harriken/brics-growth
[18] See primary vs. secondary color in https://material.io/design/color/the-color-system.html#color-theme-creation
[19] Dutta, S., Reynoso, R.E., Garanasvili, A., Saxena, K., Lanvin, B., Wunsch-Vincent, S., León, L.R. and Guadagno, F., 2018. THE GLOBAL INNOVATION
INDEX 2018: ENERGIZING THE WORLD WITH INNOVATION. GLOBAL INNOVATION INDEX 2018, p.1.
[20] CSV file global innovation in https://www.globalinnovationindex.org/analysis-indicator
[21] World Bank, https://data.worldbank.org/indicator/SP.POP.TOTL
[22] https://en.wikipedia.org/wiki/Kendall_rank_correlation_coefficient
[23] https://www.pinterest.com/pin/281615782925970581/?lp=true
[24] https://en.wikipedia.org/wiki/Regression_toward_the_mean
[25] https://www.kaggle.com/harriken/residuals-fig8b-test
[26] https://www.kaggle.com/harriken/police-dogs-and-grey-hair-will-save-you-from-jail
References