According to the National Insurance Crime Bureau (NICB), questionable claims continue to rise each year, with a 56 percent increase between 2008 and 2012. Fraud can be a fabricated claim, a staged accident, or falsified information. Most insurers find fraud at the time of claim. But for this alarming trend to stop, insurers should strive to identify potential fraud at the time of quote — even before they write the policy.
Stop fraud before it’s too late with RISK:check® Point of Sale.
Visit us today at verisk.com/riskcheck to learn more.
The document provides an overview of Riskpro, an organization that offers risk management consulting services in India. It discusses Riskpro's mission, value proposition, network presence, and advisory services related to areas like Basel II/III, corporate risks, governance, operational risk, and other risks. The document then focuses on fraud risk management, highlighting the growing issue of insurance fraud in India. It outlines Riskpro's approach to developing a fraud risk management framework, including components like anti-fraud governance, assessment, procedures, investigations, response and awareness. Key stipulations from IRDA's guidelines on insurance fraud monitoring are also summarized.
Data Visualization: Teoria, Técnicas e Práticasdp6
Apresentação sobre o tema de visualização de dados aplicada ao dia-a-dia dos profissionais de marketing e web analytics. Na apresentação, são introduzidos os principais conceitos e boas práticas em visualização de dados.
This document provides an overview of a course on data visualization fundamentals. The course covers topics like vision and the brain, color, data visualization tools, and storytelling with data. It emphasizes that effective data visualization reveals patterns, communicates ideas, and presents information in a way that offloads cognition by using the power of visual perception. The goal is to teach students how to make their data visually excellent and tell compelling stories without requiring advanced programming or software skills.
Electricity network regulation in a changing energy sector: 'The help of econ...ssuurmond
Presentation of my graduation project. In this presentation I show why the regulation of electricity networks via the RPI - X framework is not sustainable for the long run. Suggestions are given to improve the current regulatory framework.
Data surrounds us. In business and personal life. At work and on the go. But how do we make sense of it, or more specifically, how do we allow others to make sense of it. Learn how to deliver data ... <reports>.
Educating Decision Makers and Telling Our StoryJim McKay
Educating Decision Makers and Telling Our Story is a basic presentation about citizen advocacy. Includes: Advocacy Lessons from 6 year old Pirates & Princesses... How to “Trick” Legislators Into Giving You What You Want! from the Advocacy Guru, Stephanie Vance.
According to the National Insurance Crime Bureau (NICB), questionable claims continue to rise each year, with a 56 percent increase between 2008 and 2012. Fraud can be a fabricated claim, a staged accident, or falsified information. Most insurers find fraud at the time of claim. But for this alarming trend to stop, insurers should strive to identify potential fraud at the time of quote — even before they write the policy.
Stop fraud before it’s too late with RISK:check® Point of Sale.
Visit us today at verisk.com/riskcheck to learn more.
The document provides an overview of Riskpro, an organization that offers risk management consulting services in India. It discusses Riskpro's mission, value proposition, network presence, and advisory services related to areas like Basel II/III, corporate risks, governance, operational risk, and other risks. The document then focuses on fraud risk management, highlighting the growing issue of insurance fraud in India. It outlines Riskpro's approach to developing a fraud risk management framework, including components like anti-fraud governance, assessment, procedures, investigations, response and awareness. Key stipulations from IRDA's guidelines on insurance fraud monitoring are also summarized.
Data Visualization: Teoria, Técnicas e Práticasdp6
Apresentação sobre o tema de visualização de dados aplicada ao dia-a-dia dos profissionais de marketing e web analytics. Na apresentação, são introduzidos os principais conceitos e boas práticas em visualização de dados.
This document provides an overview of a course on data visualization fundamentals. The course covers topics like vision and the brain, color, data visualization tools, and storytelling with data. It emphasizes that effective data visualization reveals patterns, communicates ideas, and presents information in a way that offloads cognition by using the power of visual perception. The goal is to teach students how to make their data visually excellent and tell compelling stories without requiring advanced programming or software skills.
Electricity network regulation in a changing energy sector: 'The help of econ...ssuurmond
Presentation of my graduation project. In this presentation I show why the regulation of electricity networks via the RPI - X framework is not sustainable for the long run. Suggestions are given to improve the current regulatory framework.
Data surrounds us. In business and personal life. At work and on the go. But how do we make sense of it, or more specifically, how do we allow others to make sense of it. Learn how to deliver data ... <reports>.
Educating Decision Makers and Telling Our StoryJim McKay
Educating Decision Makers and Telling Our Story is a basic presentation about citizen advocacy. Includes: Advocacy Lessons from 6 year old Pirates & Princesses... How to “Trick” Legislators Into Giving You What You Want! from the Advocacy Guru, Stephanie Vance.
Po b lecture 4 macro economics and regulation students(1)Diana Shore
This document provides an overview of macroeconomic principles and business regulation. It discusses Porter's Diamond model of national competitive advantage and factor mobility theory. It also examines business cycles, the role of government and regulation in stimulating the economy. Both the pros and cons of regulation are considered, including how it can create efficient markets but also stifle creativity. Different regulatory bodies in the UK are outlined.
This document discusses governance in regulated network industries from a New Institutional Economics (NIE) framework. It provides context on NIE by summarizing the work and perspectives of prominent NIE thinkers like Coase, North, Williamson, and Ostrom. It argues that regulated network industries are highly relevant to NIE due to issues like asset specificity, long-lived assets, and the role of institutions in shaping industry structure and governance. The document concludes that applying NIE to network industries involves considering how different governance structures like markets and firms align with the characteristics of transactions in these sectors.
A data visualisation story - top tips from the Guardian Masterclass. Creative...CharityComms
Horacio Herrera-Richmond, design manager, Anthony Nolan
Visit the CharityComms website to view slides from past events, see what events we have coming up and to check out what else we do: www.charitycomms.org.uk
The document provides an overview of economic regulation in Australia through examples related to airport regulation, railway regulation, and electricity networks regulation. It discusses how economic regulation addresses natural monopoly problems and potential abuse of market power. Key aspects covered include the differences between ex ante regulation and ex post competition law, criteria for determining when ex ante regulation is needed, approaches to regulating monopolies in different infrastructure sectors like setting price caps for airports and electricity networks, and facilitating access to essential facilities through declaration of infrastructure under competition laws.
Data Visualization - 5 tips for presenting data analysesNicola Sandoli
"What is the right skill set for building good data visualizations?
Seems like the right person is a unicorn, someone who knows some design, some programming and some statistics?"
"The ability to ask good questions is really what we start with."
Amanda Cox, NYT - HBR interview
This document discusses how behavioral economics can help reduce insurance fraud through promoting honesty. It describes how insurance claim exaggeration is prevalent and costly. An experiment showed that having participants agree to an honesty pledge significantly reduced dishonest claims for a maximum bonus compared to a control group, demonstrating contextual factors can influence honesty. The results suggest applying psychological insights like honesty pledges could help design insurance processes to reduce fraud.
This document discusses labor relations and collective bargaining in sports. It covers topics such as antitrust laws like the Sherman Antitrust Act of 1890 and how they relate to labor acts and unions in sports. Collective bargaining agreements (CBAs) are formed out of negotiations between sports leagues and player unions, and outline the rights of both sides. When CBAs expire and new agreements cannot be reached, it can lead to strikes or lockouts that impact the league and all parties involved. The 1994 MLB strike is provided as an example of the lasting impacts a strike can have on revenue, attendance, and fan support.
Po b lecture 3 macro economics and regulation studentsDiana Shore
This document provides an overview of macroeconomics and regulations. It defines economics and key economic concepts such as GDP, inflation, and unemployment. It explains the interaction between supply and demand and how demand and supply determine equilibrium price. It also outlines different types of market competition, such as monopoly and oligopoly. Additionally, it covers theories of absolute and comparative advantage in international trade. The learning outcomes are to understand economic decision-making, the supply-demand model, market competition types, and basics of international trade theory.
Here are 6 common narrative visualization styles:
1. Magazine Style - Uses a dot point map or outline to guide the reader through key events or findings.
2. Annotated Chart - Adds descriptive text, arrows, or other annotations directly onto a chart or graphic to provide context and explanation.
3. Partitioned Poster - Divides the space into sections or panels to sequentially unfold a story.
4. Flow Chart - Uses arrows, nodes, and other flow elements to depict the progression of a process or sequence of events over time.
5. Comic Strip - Adopts a comic book format using panels, speech bubbles, and other comic conventions to narrate.
6. Slide - Pre
A Data Viz Makeover: Approaches for Improving your VisualizationsAmanda Makulec
A joint presentation made at the 2015 USAID Global Health Mini University, introducing key data visualization concepts and setting the stage for two interactive activities on storyboarding for data visualizations and visual best practices for graph and chart design.
Hyperion Financial Management is a financial consolidation and reporting application that allows financial managers to rapidly close and report financial results. It provides the ability to consolidate financial data from diverse locations and multiple general ledgers, perform multi-currency conversions, and streamline data collection processes. Financial consolidation involves merging the financial statements of a parent company and its subsidiaries to assess the overall health of the entire group. Hyperion Financial Management includes features like data validation, currency translation, automatic eliminations, and reporting tools to facilitate the financial consolidation process.
Getting started in Data Science (April 2017, Los Angeles)Thinkful
The document discusses the rise of data science and the skills needed for data scientists. It defines data science as the intersection of engineering, statistics, and communication. Data scientists analyze large datasets to answer important business questions. The document uses LinkedIn in 2006 as a case study, outlining how a data scientist there framed questions, collected and processed user data, explored patterns, and communicated results to improve the user experience and growth. It highlights tools like SQL, analytics software, and machine learning that data scientists use and stresses the importance of curiosity, technical skills, and strong communication for those interested in the field.
This document provides an overview of data science including its importance, what data scientists do, how the field has emerged, and how to become a data scientist. It notes that by 2018 the US could face shortages of people with data analytics skills. It then discusses how LinkedIn's early growth in 2006 exemplifies the data science process of framing questions, collecting and processing data, exploring patterns, and communicating results. Finally, it outlines the tools used in data science like SQL, analytics software, and machine learning and discusses getting started in the field through education, curiosity, and ongoing learning with mentorship support.
This document provides an overview of data science including its importance, what data scientists do, how the field has emerged, and how to become a data scientist. It discusses how data science can help answer important business questions using LinkedIn in 2006 as a case study. It also outlines the typical data science process of framing questions, collecting and cleaning data, exploring patterns, and communicating results. Finally, it introduces some common data science tools like SQL, analytics software, and machine learning algorithms and discusses options for continuing education in data science.
Thinkful - Intro to Data Science - Washington DCTJ Stalcup
This document discusses an introductory session on data science. It begins with introductions and an outline of the session's goals, which are to define what a data scientist is, how the field has emerged, and how to become one. It then discusses the growing demand and high salaries for data scientists. Examples are given of how data science has been applied at companies like LinkedIn, Netflix, and for fighting Ebola. Key aspects of data science like big data, Hadoop, MapReduce, and machine learning algorithms are explained. The document concludes by discussing the data science process and tools used, and encourages the audience that it is possible for them to become data scientists with the right knowledge, skills, and learning approach.
Bigger and Better: Employing a Holistic Strategy for Big Data toward a Strong...IT Network marcus evans
Bigger and Better: Employing a Holistic Strategy for Big Data toward a Strong Value-Adding Proposition
by Patrick Hadley, Australian Bureau of Statistics at the Australian CIO Summit 2014
Information and Scientific Visualization: Visualizing Safety Data to Drive Ef...CSSI_Inc
Effective visualization of data is crucial and allows for quick and efficient presentation of information when done correctly.This presentation will discuss how to effectively present data and ensure it is presented in a manner that accurately conveys the message intended by the author and meets the information the audience needs to make decisions.
You've heard the news, Data Science is the cool new career opportunity sweeping the world. Come learn from Thinkful Mentors all about this new and exciting industry.
Visualizing Healthcare Data: Information Design Best Practices (eHealth 2012 ...Stefan Popowycz
This is my eHealth 2012 presentation will focuse on the principles behind information design and how visualization best practices can be leveraged within context of healthcare data. It illustrates theory in action, by drawing specific attention to the successful public facing solution, the 2012 Canadian Hospital Reporting Project (CHRP). The CHRP tool is a pan-Canadian external facing solution with an audience of over 3000+ users; it received over 25,000 impressions in the first 24 hours, and was called by the Toronto Star as “an innovative online tool that is being heralded as the most advanced of its kind in the world.”
2017 06-14-getting started with data scienceThinkful
The document provides an overview of getting started with a career in data science. It introduces the author Jasjit Singh and discusses what a data scientist does, how the field has emerged to analyze big data. Examples are given of how companies like LinkedIn and Uber use data science. The data science process is explained through the steps of framing a question, collecting and processing data, exploring patterns in the data, and communicating findings. Tools used include SQL, data visualization software, and machine learning algorithms. The document encourages the reader that becoming a data scientist is achievable through learning statistics, algorithms, and software skills.
Search++: Cognitive transformation of human-system interaction: Presented by ...Lucidworks
This document discusses the transformation of human-system interaction through cognitive computing. It notes that cognitive systems can process vast amounts of structured and unstructured data at scale, learn from each interaction, and engage in natural language dialog. IBM Watson is presented as a cognitive technology that can understand language, generate hypotheses, and learn over time. The document demonstrates how Watson can be used for information retrieval through an example of answering questions from a dataset of forum posts.
BigData Visualization and Usecase@TDGA-Stelligence-11july2019-sharestelligence
This document provides an overview of data visualization and big data. It begins with the speaker's contact information and experience in data science. It then discusses data visualization techniques and history. Common data sources for big data are described along with an analytic framework. Examples of using big data in Thailand and for the public sector are given. Finally, the document proposes a workshop on a big data use case to reduce electricity billing costs and discusses analyzing water pipe leaks.
Po b lecture 4 macro economics and regulation students(1)Diana Shore
This document provides an overview of macroeconomic principles and business regulation. It discusses Porter's Diamond model of national competitive advantage and factor mobility theory. It also examines business cycles, the role of government and regulation in stimulating the economy. Both the pros and cons of regulation are considered, including how it can create efficient markets but also stifle creativity. Different regulatory bodies in the UK are outlined.
This document discusses governance in regulated network industries from a New Institutional Economics (NIE) framework. It provides context on NIE by summarizing the work and perspectives of prominent NIE thinkers like Coase, North, Williamson, and Ostrom. It argues that regulated network industries are highly relevant to NIE due to issues like asset specificity, long-lived assets, and the role of institutions in shaping industry structure and governance. The document concludes that applying NIE to network industries involves considering how different governance structures like markets and firms align with the characteristics of transactions in these sectors.
A data visualisation story - top tips from the Guardian Masterclass. Creative...CharityComms
Horacio Herrera-Richmond, design manager, Anthony Nolan
Visit the CharityComms website to view slides from past events, see what events we have coming up and to check out what else we do: www.charitycomms.org.uk
The document provides an overview of economic regulation in Australia through examples related to airport regulation, railway regulation, and electricity networks regulation. It discusses how economic regulation addresses natural monopoly problems and potential abuse of market power. Key aspects covered include the differences between ex ante regulation and ex post competition law, criteria for determining when ex ante regulation is needed, approaches to regulating monopolies in different infrastructure sectors like setting price caps for airports and electricity networks, and facilitating access to essential facilities through declaration of infrastructure under competition laws.
Data Visualization - 5 tips for presenting data analysesNicola Sandoli
"What is the right skill set for building good data visualizations?
Seems like the right person is a unicorn, someone who knows some design, some programming and some statistics?"
"The ability to ask good questions is really what we start with."
Amanda Cox, NYT - HBR interview
This document discusses how behavioral economics can help reduce insurance fraud through promoting honesty. It describes how insurance claim exaggeration is prevalent and costly. An experiment showed that having participants agree to an honesty pledge significantly reduced dishonest claims for a maximum bonus compared to a control group, demonstrating contextual factors can influence honesty. The results suggest applying psychological insights like honesty pledges could help design insurance processes to reduce fraud.
This document discusses labor relations and collective bargaining in sports. It covers topics such as antitrust laws like the Sherman Antitrust Act of 1890 and how they relate to labor acts and unions in sports. Collective bargaining agreements (CBAs) are formed out of negotiations between sports leagues and player unions, and outline the rights of both sides. When CBAs expire and new agreements cannot be reached, it can lead to strikes or lockouts that impact the league and all parties involved. The 1994 MLB strike is provided as an example of the lasting impacts a strike can have on revenue, attendance, and fan support.
Po b lecture 3 macro economics and regulation studentsDiana Shore
This document provides an overview of macroeconomics and regulations. It defines economics and key economic concepts such as GDP, inflation, and unemployment. It explains the interaction between supply and demand and how demand and supply determine equilibrium price. It also outlines different types of market competition, such as monopoly and oligopoly. Additionally, it covers theories of absolute and comparative advantage in international trade. The learning outcomes are to understand economic decision-making, the supply-demand model, market competition types, and basics of international trade theory.
Here are 6 common narrative visualization styles:
1. Magazine Style - Uses a dot point map or outline to guide the reader through key events or findings.
2. Annotated Chart - Adds descriptive text, arrows, or other annotations directly onto a chart or graphic to provide context and explanation.
3. Partitioned Poster - Divides the space into sections or panels to sequentially unfold a story.
4. Flow Chart - Uses arrows, nodes, and other flow elements to depict the progression of a process or sequence of events over time.
5. Comic Strip - Adopts a comic book format using panels, speech bubbles, and other comic conventions to narrate.
6. Slide - Pre
A Data Viz Makeover: Approaches for Improving your VisualizationsAmanda Makulec
A joint presentation made at the 2015 USAID Global Health Mini University, introducing key data visualization concepts and setting the stage for two interactive activities on storyboarding for data visualizations and visual best practices for graph and chart design.
Hyperion Financial Management is a financial consolidation and reporting application that allows financial managers to rapidly close and report financial results. It provides the ability to consolidate financial data from diverse locations and multiple general ledgers, perform multi-currency conversions, and streamline data collection processes. Financial consolidation involves merging the financial statements of a parent company and its subsidiaries to assess the overall health of the entire group. Hyperion Financial Management includes features like data validation, currency translation, automatic eliminations, and reporting tools to facilitate the financial consolidation process.
Getting started in Data Science (April 2017, Los Angeles)Thinkful
The document discusses the rise of data science and the skills needed for data scientists. It defines data science as the intersection of engineering, statistics, and communication. Data scientists analyze large datasets to answer important business questions. The document uses LinkedIn in 2006 as a case study, outlining how a data scientist there framed questions, collected and processed user data, explored patterns, and communicated results to improve the user experience and growth. It highlights tools like SQL, analytics software, and machine learning that data scientists use and stresses the importance of curiosity, technical skills, and strong communication for those interested in the field.
This document provides an overview of data science including its importance, what data scientists do, how the field has emerged, and how to become a data scientist. It notes that by 2018 the US could face shortages of people with data analytics skills. It then discusses how LinkedIn's early growth in 2006 exemplifies the data science process of framing questions, collecting and processing data, exploring patterns, and communicating results. Finally, it outlines the tools used in data science like SQL, analytics software, and machine learning and discusses getting started in the field through education, curiosity, and ongoing learning with mentorship support.
This document provides an overview of data science including its importance, what data scientists do, how the field has emerged, and how to become a data scientist. It discusses how data science can help answer important business questions using LinkedIn in 2006 as a case study. It also outlines the typical data science process of framing questions, collecting and cleaning data, exploring patterns, and communicating results. Finally, it introduces some common data science tools like SQL, analytics software, and machine learning algorithms and discusses options for continuing education in data science.
Thinkful - Intro to Data Science - Washington DCTJ Stalcup
This document discusses an introductory session on data science. It begins with introductions and an outline of the session's goals, which are to define what a data scientist is, how the field has emerged, and how to become one. It then discusses the growing demand and high salaries for data scientists. Examples are given of how data science has been applied at companies like LinkedIn, Netflix, and for fighting Ebola. Key aspects of data science like big data, Hadoop, MapReduce, and machine learning algorithms are explained. The document concludes by discussing the data science process and tools used, and encourages the audience that it is possible for them to become data scientists with the right knowledge, skills, and learning approach.
Bigger and Better: Employing a Holistic Strategy for Big Data toward a Strong...IT Network marcus evans
Bigger and Better: Employing a Holistic Strategy for Big Data toward a Strong Value-Adding Proposition
by Patrick Hadley, Australian Bureau of Statistics at the Australian CIO Summit 2014
Information and Scientific Visualization: Visualizing Safety Data to Drive Ef...CSSI_Inc
Effective visualization of data is crucial and allows for quick and efficient presentation of information when done correctly.This presentation will discuss how to effectively present data and ensure it is presented in a manner that accurately conveys the message intended by the author and meets the information the audience needs to make decisions.
You've heard the news, Data Science is the cool new career opportunity sweeping the world. Come learn from Thinkful Mentors all about this new and exciting industry.
Visualizing Healthcare Data: Information Design Best Practices (eHealth 2012 ...Stefan Popowycz
This is my eHealth 2012 presentation will focuse on the principles behind information design and how visualization best practices can be leveraged within context of healthcare data. It illustrates theory in action, by drawing specific attention to the successful public facing solution, the 2012 Canadian Hospital Reporting Project (CHRP). The CHRP tool is a pan-Canadian external facing solution with an audience of over 3000+ users; it received over 25,000 impressions in the first 24 hours, and was called by the Toronto Star as “an innovative online tool that is being heralded as the most advanced of its kind in the world.”
2017 06-14-getting started with data scienceThinkful
The document provides an overview of getting started with a career in data science. It introduces the author Jasjit Singh and discusses what a data scientist does, how the field has emerged to analyze big data. Examples are given of how companies like LinkedIn and Uber use data science. The data science process is explained through the steps of framing a question, collecting and processing data, exploring patterns in the data, and communicating findings. Tools used include SQL, data visualization software, and machine learning algorithms. The document encourages the reader that becoming a data scientist is achievable through learning statistics, algorithms, and software skills.
Search++: Cognitive transformation of human-system interaction: Presented by ...Lucidworks
This document discusses the transformation of human-system interaction through cognitive computing. It notes that cognitive systems can process vast amounts of structured and unstructured data at scale, learn from each interaction, and engage in natural language dialog. IBM Watson is presented as a cognitive technology that can understand language, generate hypotheses, and learn over time. The document demonstrates how Watson can be used for information retrieval through an example of answering questions from a dataset of forum posts.
BigData Visualization and Usecase@TDGA-Stelligence-11july2019-sharestelligence
This document provides an overview of data visualization and big data. It begins with the speaker's contact information and experience in data science. It then discusses data visualization techniques and history. Common data sources for big data are described along with an analytic framework. Examples of using big data in Thailand and for the public sector are given. Finally, the document proposes a workshop on a big data use case to reduce electricity billing costs and discusses analyzing water pipe leaks.
presented at FITC Toronto 2018
More info at http://fitc.ca/event/to18/
Presented by
Corey Ouellette, Thomson Reuters
Overview
When you think of “data visualization” what is the very first thing that comes to mind? For many, it’s bar graphs, pie charts, and histograms, or maybe some combination thereof. You’re not wrong – but it’s so much more than that. The era of pie and bar charts has come and gone; these traditional visualizations alone are insufficient. Now is the time of data visualized on a rich canvas. A canvas that not only informs, but immerses you in information in much the same way that your favourite book immerses you in its narrative.
Objective
When attendees leave, that they walk away with an understanding of how development, design and data are strongly intertwined with one other. When aligned with customers needs, these aspects create a meaningful and actionable experience.
Target Audience
Designers and developers interested furthering their appetite for visualization
Five Things Audience Members Will Learn
How data visualization can lead to data exploration
Creating an experience with information
New models of data visualization
Telling a story through data
How to blend design and development through data visualization
INDIAN STATISTICAL INSTITUTE
Documentation Research & Training Centre
8th Mile, Mysore Road, RVCE Post
Bangalore-560 059
DRTC Seminar- 5
2014
Data Literacy
ABSTRACT
In our increasingly data-driven society, data literacy is an important civic skill which we should be developing in our society. Data is slowly but steadily forcing their way into the societies. Data literacy may seem less technical than either Computer Science or any other fields. Still we need to envisage a wide variety of tools for accessing, converting and manipulating data. These require to understand relational databases (like MS Access), data manipulation techniques, statistical software tools (like Minitab, SPSS, STATA and MS Excel) and data representation software tools (like MS PowerPoint and MS Excel). This seminar includes an introduction on data literacy, its inter-relationship with information literacy and statistical literacy. It also includes various steps for working with data followed by short demonstration of data analysis techniques by using the software STATA11.
Speaker: Jayanta Kr. Nayek
Date:29 .10.2014. Time: 2 p.m.
Venue: DRTC, ISI Bangalore.
All are cordially invited.
Seminar Coordinator
Biswanath Dutta
Lunch & Learn: Information Design and Healthcare Data (UHN Human Factors)Stefan Popowycz
Stefan Popowycz presented on information design and data visualization. He discussed his role at the Canadian Institute for Health Information developing the Canadian Hospital Reporting Project, which included creating interactive visualizations of healthcare data. He covered key aspects of information design like defining messages, analyzing data types, using effective typography and color, and considering layout and design. Examples from the CHRP solutions demonstrated best practices.
New analytical methods for geocomputation - Guy Lansley, UCLGuy Lansley
This document summarizes a presentation on new analytical methods for geocomputation using big data. It discusses how software has adapted to larger, more complex data and challenges in representing real-world phenomena. Specific techniques covered include using R for spatial analysis, text mining, topic modeling on tweets, identifying patterns in data, and creating interactive maps. The overall message is that coding skills are necessary to fully leverage big data, but converting data to insights remains challenging.
Presented for WLA 2021 Annual Conference, November 17th, by Melissa McLimans, WiLS and Kim Kiesewetter, WiLS
Surveys, focus groups, your annual report data: it’s all telling you a story about your library and your community. Join Melissa and Kim as they share ways in which libraries can use data to tell the story of both their communities and institutions. It will include an overview of different types of data that a library might use ranging from existing resources to inspiration for new research. To tie everything together, the session will conclude with ways to present selected data in a compelling, narrative format to tell a larger story to a variety of audiences.
SVG - Storytelling & Visualisation in Governmentrobertofry
This document discusses strategies for storytelling and visualization at the UK Office for National Statistics. It emphasizes using statistical and economic expertise to inform engaging content. It also addresses challenges such as maintaining editorial relevance, reaching diverse audiences, and creating responsive designs for different devices. The document provides examples of visualizing and sharing data online and advice on developing a process for data visualization design.
This document provides best practices for digital communications. It discusses using multiple communication channels like email, social media, SMS to reach broader audiences. It recommends building a permanent audience by allowing people to choose information and frequency preferences. Analyzing engagement and driving mission value. Tips include making signups easy, offering relevant topics, and promoting subscriptions. Automating across channels and integrating with back-office systems can streamline communications.
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Profiles of Iconic Fashion Personalities.pdfTTop Threads
The fashion industry is dynamic and ever-changing, continuously sculpted by trailblazing visionaries who challenge norms and redefine beauty. This document delves into the profiles of some of the most iconic fashion personalities whose impact has left a lasting impression on the industry. From timeless designers to modern-day influencers, each individual has uniquely woven their thread into the rich fabric of fashion history, contributing to its ongoing evolution.
During the budget session of 2024-25, the finance minister, Nirmala Sitharaman, introduced the “solar Rooftop scheme,” also known as “PM Surya Ghar Muft Bijli Yojana.” It is a subsidy offered to those who wish to put up solar panels in their homes using domestic power systems. Additionally, adopting photovoltaic technology at home allows you to lower your monthly electricity expenses. Today in this blog we will talk all about what is the PM Surya Ghar Muft Bijli Yojana. How does it work? Who is eligible for this yojana and all the other things related to this scheme?
[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This presentation is a curated compilation of PowerPoint diagrams and templates designed to illustrate 20 different digital transformation frameworks and models. These frameworks are based on recent industry trends and best practices, ensuring that the content remains relevant and up-to-date.
Key highlights include Microsoft's Digital Transformation Framework, which focuses on driving innovation and efficiency, and McKinsey's Ten Guiding Principles, which provide strategic insights for successful digital transformation. Additionally, Forrester's framework emphasizes enhancing customer experiences and modernizing IT infrastructure, while IDC's MaturityScape helps assess and develop organizational digital maturity. MIT's framework explores cutting-edge strategies for achieving digital success.
These materials are perfect for enhancing your business or classroom presentations, offering visual aids to supplement your insights. Please note that while comprehensive, these slides are intended as supplementary resources and may not be complete for standalone instructional purposes.
Frameworks/Models included:
Microsoft’s Digital Transformation Framework
McKinsey’s Ten Guiding Principles of Digital Transformation
Forrester’s Digital Transformation Framework
IDC’s Digital Transformation MaturityScape
MIT’s Digital Transformation Framework
Gartner’s Digital Transformation Framework
Accenture’s Digital Strategy & Enterprise Frameworks
Deloitte’s Digital Industrial Transformation Framework
Capgemini’s Digital Transformation Framework
PwC’s Digital Transformation Framework
Cisco’s Digital Transformation Framework
Cognizant’s Digital Transformation Framework
DXC Technology’s Digital Transformation Framework
The BCG Strategy Palette
McKinsey’s Digital Transformation Framework
Digital Transformation Compass
Four Levels of Digital Maturity
Design Thinking Framework
Business Model Canvas
Customer Journey Map
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3. Make an impact
Your data must
influence your
organisation & services
4. Get your message across
Data visualisation is
key way to communicate
stories from your data
5. Information from data. Order from chaos
• “data graphics can do much more than … substitute for
statistical tables…. [They] are instruments for reasoning
about quantitative information ”, Tufte, 1983
6. How can data visualisation help
local organisations?
7. Summarise issues for service managers
and senior staff
West Midlands Apprentices, Excel dashboard
14. Principle 1: Design for your audience
• Key points for this visualisation for this audience
– Limit what you show. Be selective
• Know your audience
– What information does your audience want/ need?
– What will they quickly understand?
– What do they need to help them see the data story
• Test your visualisation - colleagues? managers?
15. Design for your audience – evolution 1
Crime rates by
ward for single
indicator. Targets.
Detailed.
Robert Radburn, Leicestershire. Changing how we present data to
Community Safety Team Management meetings
16. Design for your audience – evolution 2
Crime indicators
for all crimes, all
wards. 3 years
17. Design for your audience – evolution 3
Crime indicators
for all crimes, all
wards. Trends by
colour
18. Principles 2 & 3: Keep it accurate & clear
• Focus on the message(s) for the audience
• Show the data without distortion
– Avoid common pitfalls (do’s and dont’s)
• Don’t obscure the information
– Use the right type of chart
• Learn from others
– Look at examples and resources – there’s lots out there!
25. Use the right chart
Shouldn’t pie
charts add up
to 100?%
Hall of shame: “Criminal” pie-chart
via ONS Data Visualisation Centre
26. Just because you can, doesn’t mean you should
Hall of shame: Pictorial representation
27. 3D charts? No!
Hides the story
How much?
When?
“3D charts are the first refuge of
scoundrels”, Brian Derry, NHS-IC
Hall of shame: Excel 3D charts
via ONS Data Visualisation Centre
29. Learn from others – lots of resources
• www.improving-visualisation.org.uk/links
visualisation support for public sector researchers
• www.visualisingdata.com (lots of links, tutorials, tools)
• Flowing Data, www.flowingdata.com (examples)
• www.gapminder.org (Hans Rosling videos)
• ONS Data Viz centre
www.ons.gov.uk/ons/interactive/index.html
30. Learn from others – lots of resources
extremepresentation.typepad.com/blog/2006/09/choosing_a_good.html
31. Summing up
• Your data must influence your organisation & services
– Make an impact
• Data visualisation is key way to communicate stories
from your data
– Get your message across. Lots of uses in local organisations
• Principles - design for audience, keep it accurate & clear
• Practicals - do's & don'ts
• Learn from others - resources
• Have fun
32. Tom Smith
Oxford Consultants for Social Inclusion (OCSI)
e: info@ocsi.co.uk
t: +44 1273 810 270
w: www.ocsi.co.uk
33. Data viz and photo credits
• Warwickshire Quality of Life 2011 report
• Brighton & Hove Annual Director Public Health 2012 report
• Leicestershire Research & Intelligence analysis and reports
• OCSI analysis for Amaze UK disability charity
• West Midlands Regional Observatory Apprentice Dashboard
• Guardian Public Spending wallchart
• David McCandless Map Venn diagram
• ONS Data Visualisation Centre , visuals and hall of shame
• DCLG / OCSI, Improving Visualisation for public sector researchers
• Chart Chooser
• Flowing Data
• Wikimedia Commons