Mark McCrindle Communities Inspired Presentation Australian Communities ForumMark McCrindle
Mark McCrindle of McCrindle Research presented this analysis of the various types of community organisations and groups that we are a part of - from ones where the purposes is around belief and ethos versus those around interest and practice; and how some communities are formed with a relational people focus whereas others with a more functional people focus. Mark presented this as the final session of the Australian Communities Forum in November 2012.
Data Journalism - Data Visualisation with MapsBahareh Heravi
Data Journalism lecture - Week 10: Data Visualisation with Maps
Lecture date: 11 Nov 2015
MA in Journalism
National University of Ireland, Galway
Title slide image from The Data Journalism Handbook
Colman McMahon, DIT School of Computing: Getting Started with Data VisualisationDublinked .
Graduating with a BA from UCD in 1995, Colman emigrated to America to pursue a career that combined creativity, commerce and computers. Heading west to California, Colman worked for 11 years in Hollywood's visual effects (VFX) industry. During this time he worked mainly at The Walt Disney Co. and also as a. In 2006, Colman returned home to Ireland to undertake a . A short time after the conclusion of the course, while starting up his own , Colman was invited back to DIT as a part-time lecturer. In 2011, Colman was offered a PhD Fellowship at modeling and simulating the relationship between innovation and profit. This full-time study is under the direction of Prof. Petra Ahrweiler, Director UCD Innovation Research Unit and Professor of Technology and Innovation Management, Smurfit School of Business. In 2012, Colman designed and delivered the first iteration of a new Visualisation module as part of DIT's .
Details of Colman's research activities can be found at .
-Dubinked-
Drawing from a new module at DIT, Colman's presentation at Dublinked will be an introduction to the domain of visualisation and a demonstration of powerful yet "do-able" data visualisations. The ethos of the presentation is for people who have little or no visualisation experience but have an aptitude and appetite for using technical tools to surface meaning from data. The tools used will be R, R Studio and Inkscape.
Mark McCrindle Communities Inspired Presentation Australian Communities ForumMark McCrindle
Mark McCrindle of McCrindle Research presented this analysis of the various types of community organisations and groups that we are a part of - from ones where the purposes is around belief and ethos versus those around interest and practice; and how some communities are formed with a relational people focus whereas others with a more functional people focus. Mark presented this as the final session of the Australian Communities Forum in November 2012.
Data Journalism - Data Visualisation with MapsBahareh Heravi
Data Journalism lecture - Week 10: Data Visualisation with Maps
Lecture date: 11 Nov 2015
MA in Journalism
National University of Ireland, Galway
Title slide image from The Data Journalism Handbook
Colman McMahon, DIT School of Computing: Getting Started with Data VisualisationDublinked .
Graduating with a BA from UCD in 1995, Colman emigrated to America to pursue a career that combined creativity, commerce and computers. Heading west to California, Colman worked for 11 years in Hollywood's visual effects (VFX) industry. During this time he worked mainly at The Walt Disney Co. and also as a. In 2006, Colman returned home to Ireland to undertake a . A short time after the conclusion of the course, while starting up his own , Colman was invited back to DIT as a part-time lecturer. In 2011, Colman was offered a PhD Fellowship at modeling and simulating the relationship between innovation and profit. This full-time study is under the direction of Prof. Petra Ahrweiler, Director UCD Innovation Research Unit and Professor of Technology and Innovation Management, Smurfit School of Business. In 2012, Colman designed and delivered the first iteration of a new Visualisation module as part of DIT's .
Details of Colman's research activities can be found at .
-Dubinked-
Drawing from a new module at DIT, Colman's presentation at Dublinked will be an introduction to the domain of visualisation and a demonstration of powerful yet "do-able" data visualisations. The ethos of the presentation is for people who have little or no visualisation experience but have an aptitude and appetite for using technical tools to surface meaning from data. The tools used will be R, R Studio and Inkscape.
Tucana HR Analytics Data Visualisation, April 2014 (London)Mark Lawrence
Introduction to effective data visualisation ( #datavis ) techniques, delivered to an HR Data Analytics conference hosted by Tucana, in London, April 2014. These slides have been adjusted since the original presentation, to mitigate confidentiality or privacy concerns. Data included herein, should be considered as Dummy Data. Ref's provided.
Disclaimer: Although I worked for IBM, and represented IBM at the time, subsequent opinions should not be considered to be in line with those of IBM.
Improving business outcomes through rapid data visualisationThoughtWorks Studios
Visualising data provides clarity, increases engagement and delivers unexpected insights. A rapid and adaptive approach to building visualisations can help you realise value with a minimal investment.
David and Ray shared thoughts and client stories from work in Perth and Melbourne at an evening briefing in Perth, Western Australia, on 29 October 2013. David is a lead management consultant with a mathematical visualisation bent (find him on LinkedIn or see his blog). Ray is a lead developer consultant who enjoys thinking up and building products (twitter @grassdog).
Mark McCrindle is a social researcher with an international reputation for tracking the emerging trends and analysing the diverse generations. He is the Director of McCrindle Research, whose clients include over 100 multinational organisations. His highly valued research and reports have developed his renown as a futurist, demographer and social commentator. Mark is highly regarded for his engaging presentations whether they be keynote addresses at conferences, boardroom briefings or facilitated workshops.
Andy Kirk's Webinar for Tableau (July 2016)Andy Kirk
These are the slides from the talk given by Andy Kirk (@visualisingdata) on a webinar hosted by Tableau Software on 20th July 2016. The title is 'Bringing Method to the Madness' and concerns a demonstration of a data visualisation design workflow.
Digital Transactors vs Digital Integrators: A QuizMark McCrindle
While all the generations use social media, new technologies and mobile devices, the age at which we are first exposed to the technologies determines how embedded they become in our lifestyles. That is why Baby Boomers and Gen Xers are Digital Transactors, using the new technology tools efficiently, structurally and productively. However Generations Y and Z are more likely Digital Integrators, seamlessly integrating the technology into their communications, behaviours and world. This quick quiz will test which of these digital types you are. See how you go in this A-Z activity with the goal to identify each of these digital platform logos just by looking at the first letter of them. Check your score at the end and see which generation you best fit!
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Data visualisation is a cross disciplinary activity that requires us to operate at the intersection of a visual designer, data scientist and storyteller. It is both a science and an art.
So how does one realistically learn these multitude of skills needed to get good at the craft of data visualisation. In this slide deck, I discuss ideas about the possible path that a beginner could adopt to learn this craft through sustained practice.
This presentation was for Social Media Week Berlin on Tuesday, 24th September. It was targeted at NGOs, NPOs, activist organisations and charities who have important key messages to share with the community. The event will combine elements of a presentation and workshop. We will examine case studies of campaigns that have successfully used data visualisation in tandem with social media and content marketing techniques to spread information and ideas, and to counteract prevailing myths about climate change and renewable energy technology. We will then allow time for participants to split up into small working groups. Structured discussion tasks and group feedback will allow participants to investigate how these strategies can apply to their own organisation or issue. Participants will learn practical steps for identifying important messages, researching and developing content, incorporating data visualisation in a powerful and meaningful way, and promoting their data visualisation campaigns through social media and email outreach. In particular, the event will focus on developing powerful stories that will attract the support of influential sharers and thought leaders from a range of backgrounds, from activism through to industry, so as to maximise the campaign's reach and impact.
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In this talk, Robin Hawkes, ViziCities' co-creator and Lead Developer will introduce you to the project and demonstrate its powerful methods for visualising the complex data locked within our cities.
I explore my journey of discovering Visual Storytelling and Data visualization. I look at how social media has provided building blocks to create new and exciting experience.
How Customer Intelligence Will Future Proof Your Event PortfolioBear Analytics
As the second half of 2020 and first quarter of 2021 comes into view, one thing has become very clear to the general event marketplace, things are going to be very different. Playing a vital role in growing participation at our face to face, virtual, and hybrid events is going to be a deep knowledge of our customers.
What is customer intelligence and why is it more important than ever for the future success of your event? This webinar will peel back the importance of customer intelligence and the analytical foundation for it that you can start building in your event portfolio today. We will walk through the required data you need to be collecting across virtual and face-to-face events, as well as, the metrics to have in place over the coming months to personalize relevant content and experiences in front of your customer.
Get Smart: The Present and Future of Data DiscoveryInside Analysis
Hot Technologies of 2013 with Bloor, Fitzgerald & Neutrino BI
Live Webcast July 17, 2013
http://www.insideanalysis.com
Somewhere in your data, discoveries wait to be found. Finding them can be quite a challenge, though, which is why data discovery gets so much attention these days. A whole array of tools is being promoted for data visualization and business discovery. But what are the component parts of this technology? And how can discovery tools be used to sift through vast amounts of data effectively? Register for this episode of Hot Technologies to find out!
Analysts Dr. Robin Bloor of The Bloor Group, and Jaime Fitzgerald of Fitzgerald Analytics will each offer their take on what constitutes a high-quality discovery tool. They'll then take a briefing from Jon Woodward of Neutrino BI, who will tout his company's platform for facilitating data discovery. He'll talk about the value of being able to go "direct to data" during the discovery process. He'll also outline their roadmap for developing a next-generation "smart" discovery platform.
Tucana HR Analytics Data Visualisation, April 2014 (London)Mark Lawrence
Introduction to effective data visualisation ( #datavis ) techniques, delivered to an HR Data Analytics conference hosted by Tucana, in London, April 2014. These slides have been adjusted since the original presentation, to mitigate confidentiality or privacy concerns. Data included herein, should be considered as Dummy Data. Ref's provided.
Disclaimer: Although I worked for IBM, and represented IBM at the time, subsequent opinions should not be considered to be in line with those of IBM.
Improving business outcomes through rapid data visualisationThoughtWorks Studios
Visualising data provides clarity, increases engagement and delivers unexpected insights. A rapid and adaptive approach to building visualisations can help you realise value with a minimal investment.
David and Ray shared thoughts and client stories from work in Perth and Melbourne at an evening briefing in Perth, Western Australia, on 29 October 2013. David is a lead management consultant with a mathematical visualisation bent (find him on LinkedIn or see his blog). Ray is a lead developer consultant who enjoys thinking up and building products (twitter @grassdog).
Mark McCrindle is a social researcher with an international reputation for tracking the emerging trends and analysing the diverse generations. He is the Director of McCrindle Research, whose clients include over 100 multinational organisations. His highly valued research and reports have developed his renown as a futurist, demographer and social commentator. Mark is highly regarded for his engaging presentations whether they be keynote addresses at conferences, boardroom briefings or facilitated workshops.
Andy Kirk's Webinar for Tableau (July 2016)Andy Kirk
These are the slides from the talk given by Andy Kirk (@visualisingdata) on a webinar hosted by Tableau Software on 20th July 2016. The title is 'Bringing Method to the Madness' and concerns a demonstration of a data visualisation design workflow.
Digital Transactors vs Digital Integrators: A QuizMark McCrindle
While all the generations use social media, new technologies and mobile devices, the age at which we are first exposed to the technologies determines how embedded they become in our lifestyles. That is why Baby Boomers and Gen Xers are Digital Transactors, using the new technology tools efficiently, structurally and productively. However Generations Y and Z are more likely Digital Integrators, seamlessly integrating the technology into their communications, behaviours and world. This quick quiz will test which of these digital types you are. See how you go in this A-Z activity with the goal to identify each of these digital platform logos just by looking at the first letter of them. Check your score at the end and see which generation you best fit!
Learning the Craft of Data VisualisationAmit Kapoor
Data visualisation is a cross disciplinary activity that requires us to operate at the intersection of a visual designer, data scientist and storyteller. It is both a science and an art.
So how does one realistically learn these multitude of skills needed to get good at the craft of data visualisation. In this slide deck, I discuss ideas about the possible path that a beginner could adopt to learn this craft through sustained practice.
This presentation was for Social Media Week Berlin on Tuesday, 24th September. It was targeted at NGOs, NPOs, activist organisations and charities who have important key messages to share with the community. The event will combine elements of a presentation and workshop. We will examine case studies of campaigns that have successfully used data visualisation in tandem with social media and content marketing techniques to spread information and ideas, and to counteract prevailing myths about climate change and renewable energy technology. We will then allow time for participants to split up into small working groups. Structured discussion tasks and group feedback will allow participants to investigate how these strategies can apply to their own organisation or issue. Participants will learn practical steps for identifying important messages, researching and developing content, incorporating data visualisation in a powerful and meaningful way, and promoting their data visualisation campaigns through social media and email outreach. In particular, the event will focus on developing powerful stories that will attract the support of influential sharers and thought leaders from a range of backgrounds, from activism through to industry, so as to maximise the campaign's reach and impact.
Understanding cities using ViziCities and 3D data visualisationRobin Hawkes
ViziCities is an open-source 3D city visualisation platform powered by OpenStreetMap, WebGL and many other cutting-edge Web technologies. ViziCities not only allows you to explore any city in the world in 3D in your browser, it also lets you overlay data like live transport, crime, pollution, live social data, and weather. Think SimCity meets the real world!
In this talk, Robin Hawkes, ViziCities' co-creator and Lead Developer will introduce you to the project and demonstrate its powerful methods for visualising the complex data locked within our cities.
I explore my journey of discovering Visual Storytelling and Data visualization. I look at how social media has provided building blocks to create new and exciting experience.
How Customer Intelligence Will Future Proof Your Event PortfolioBear Analytics
As the second half of 2020 and first quarter of 2021 comes into view, one thing has become very clear to the general event marketplace, things are going to be very different. Playing a vital role in growing participation at our face to face, virtual, and hybrid events is going to be a deep knowledge of our customers.
What is customer intelligence and why is it more important than ever for the future success of your event? This webinar will peel back the importance of customer intelligence and the analytical foundation for it that you can start building in your event portfolio today. We will walk through the required data you need to be collecting across virtual and face-to-face events, as well as, the metrics to have in place over the coming months to personalize relevant content and experiences in front of your customer.
Get Smart: The Present and Future of Data DiscoveryInside Analysis
Hot Technologies of 2013 with Bloor, Fitzgerald & Neutrino BI
Live Webcast July 17, 2013
http://www.insideanalysis.com
Somewhere in your data, discoveries wait to be found. Finding them can be quite a challenge, though, which is why data discovery gets so much attention these days. A whole array of tools is being promoted for data visualization and business discovery. But what are the component parts of this technology? And how can discovery tools be used to sift through vast amounts of data effectively? Register for this episode of Hot Technologies to find out!
Analysts Dr. Robin Bloor of The Bloor Group, and Jaime Fitzgerald of Fitzgerald Analytics will each offer their take on what constitutes a high-quality discovery tool. They'll then take a briefing from Jon Woodward of Neutrino BI, who will tout his company's platform for facilitating data discovery. He'll talk about the value of being able to go "direct to data" during the discovery process. He'll also outline their roadmap for developing a next-generation "smart" discovery platform.
Is big data handicapped by "design"? Seven design principles for communicatin...Zach Gemignani
Is big data handicapped by "design"? This presentation shares the seven design principles for effective data communication. Good and bad examples for data visualizations highlight the choices designers make in helping non-analytical audiences understand the meaning in data.
The third webcast in this series focuses on ways to meet your health system’s specific needs and achieve a 360-degree view of your patients, processes, physicians, and costs without purchasing multiple, disparate solutions, and creating information silos.
Our speakers discuss their collective experience in working with organizations to create tailored platforms that provide convenient access to data collected by, and stored in, disparate clinical information systems and enabling that data to be securely used by users throughout the broader healthcare community. Actionable data – available to all users when they need it – serves as a foundation for analysis and decision-making aimed at improving how care is delivered.
You can find it online at http://www.informationbuilders.com/webevents/online/24637#sthash.RnwoH27x.dpuf
Alternative Data is everywhere. We MUST start using them as a competitive edge over the competitors who are all looking to only their traditional data sources
Predictive Modelling is used by businesses, social organisations and governments to build winning products, eradicate poverty and preempt cyclones. Learn the fundamental principles of predictive modelling with illustrative case studies. Know how companies like Netflix, Tinder and Citi Group use predictive modelling to deliver user satisfaction and profitability.
2.What Data Collection Method Involves Tracking_.pdfBelayet Hossain
What data collection method involves tracking? Data collection is the collecting, observing, measuring, and analysing information about a particular subject to assist research carried out by groups of professionals irrespective of the field they belong to.
https://itphobia.com/what-data-collection-method-involves-tracking/
Field Research at the Speed of BusinessPaul Sherman
Field research: to many it's the gold standard of user-centered design. Want to learn more about how your current or prospective customers think, work, live and play? Go observe them.
If you're early or even mid-career, organising, carrying out and analysing the results of field research can seem daunting and time-consuming. This tutorial will provide you with information and resources you can use immediately to start conducting insightful and effective field research.
Presented at UX in the City Oxford 2017, April 2017, Oxford UK.
Streaming and Visual Data Discovery for the Internet of ThingsDatawatchCorporation
Sensor devices and their associated data streams are rapidly becoming a big source of differentiation for organizations that can effectively harness this information to drive new insights and take action. The breakthrough is enabled by new solutions for applying visual data discovery to streaming data in motion. This session will focus on industrial analytics and how best to apply new technologies that drive synergies between IT and OT.
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Data Democracy is a global vision. This talk explores what this means within the context of large businesses with examples from the restructuring of Sun Basket's Data Science & Engineering team.
Dashboards are Dumb Data - Why Smart Analytics Will Kill Your KPIsLuciano Pesci, PhD
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5. 5Source: http://readwrite.com/2011/01/07/difference-between-datavisualization-infographics/
Infographic
“I would say that infographics are really
a subset of data/info visualisations. An
infographic is static by definition. They
are graphics.”
Data visualisation
“A data/info visualisation may be
static, but most often these are
interactive and allow the viewer to
explore the data/information in
different ways.”
Kim Rees, partner at Periscopic.com
10. 10
Gather user needs
Examine data
Understand
context
What data is available?
What story does the data tell?
What goals does the user have?
What jobs need to be done?
Why the heck are they here?
Where is it going to appear?
What is the most important information?
Are there any other datasets a user might need?
Start by asking the
right questions
11. 11
Example
Spending data
A new banking site is
looking to help those who
struggle with planning,
budgeting and financial
understanding, such as
students.
banko.
12. 12
Example
Spending data
“I just don’t know where
my money goes…”
Technologically savvy
Financially… not
Main device is for banking is mobile
The user, Sam the student
14. 14
Example
Spending data
Plans later of an app for OSX and Android
The context
Most important information is knowing
a breakdown of spending
First delivery will be a website
15. 15
Example
Spending data
User
Wants to see at a glance a
breakdown of my spending
over the month
Data
Historical spending habits,
When and where purchases
were made, categorisation of
purchases
Context
Most important information is
current balance, plus predicted
balance. Most important
information is knowing a
breakdown of spending
23. 23
Yahoo Weather
At a glance
Current temperature
Current conditions
Highs and lows
Dark skies
At a glance
Current temperature
Current conditions
Highs and lows
Temperature over next few hours
Chance of rain
Level of rainfall
Fresh air
At a glance
Current temperature
Current conditions
Highs and lows
Temperature over next few hours
Chance of rain
Highs over next few days
Conditions over next few days
24. 24
1. Want more, get more
Dig in
Source: https://interactivemap.marksandspencer.com
41. 41
3: Design for digital
Touch, tap, click
Source: Etch https://dribbble.com/shots/808569-Social-Analytics-App-Desktop/attachments/82808
42. 42
3: Design for digital
Real estate is
expensive
1 Source: https://dribbble.com/shots/2251033-Bank-App
2 Source: https://dribbble.com/shots/2485100-Health-App-steps-animation
1 2
54. 54
Data set 1
Incredifit nutritional log
Data available:
• Recommended daily intake of
various nutrients and calories
• User’s calorie and nutrient goal
• User’s food consumption
• Other user’s intake including friends
• User’s exercise plan & exercise log
Goals:
To see complete log of my nutritional
inputs and my progress towards my
nutritional goals both today and
across various time periods.
55. 55
Data set 2
Incredifit exercise plan
Data available:
• Recommended exercises for various
parts of the body (ie. Cardio, Arms etc)
• User’s previous exercise logs
• User’s fitness goals
• Other user’s exercise including friends
Goals:
To see complete log of my fitness
and exercise goals, to track against
them and see my progress.
56. 56
Data set 3
Incredifit sleep tracker
Data available:
• Users sleep patterns and quality of
sleep per night
• User’s calorie and nutrient goals
• User’s food consumption
• User’s exercise plan
• Users exercise plan & exercise log
Goals:
To see complete log of my sleeping
patterns, see the quality of my sleep,
and the effect certain parts of my
lifestyle may be having on my nights.
57. 57
Data set 4
Incredifit stop-smoking aid
Data available:
• Number of cigarettes smoked
on a daily level
• Money spent
• User’s exercise log
• User’s sleeping log
• Average risk of smoking
related diseases
Goals:
To see track and help me in my
stopping smoking journey. To see the
improvements on my health and on
my finance.
58. 58
Dashboard
Incredifit health
overview dashboard
Data available:
• Users nutritional log
• Recommended daily intake of
various nutrients and calories
• User’s calorie and nutrient goals
• User’s food consumption
• Users exercise data
• Recommended exercises for
various parts of the body (ie.
Cardio, Arms etc)
• User’s previous exercise logs
• User’s fitness goals
• Users sleep tracker
• Users health data
• Stop-Smoking progress
Goals:
To see overview of my total health
and fitness statistics.
59. 59
3. Design for digital
4. Data destroys designs
2. Encourage exploration
1. Want more, get more
5. Use colour cleverly
60. Go create beautiful, usable and
above all useful data visuals.
60
Thanks Scott Abbott
scottoabbott
61. 61
3. Design for digital
4. Data destroys designs
2. Encourage exploration
1. Want more, get more
5. Use colour cleverly
Most important information should be available at a glance
| Dig in | Tables aren’t evil
Create meaningful connections | Allow manipulation
Touch, tap, click | Adapt | Real estate is expensive
A billion different variations | Fail fast, fail early
Connect data and visuals | Check your colours
5 quick tips
Creating deep
interesting
Visualisations
Scott Abbott
scottoabbott