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This list relates to the 2014-15 which ended on 31/08/2015
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  1. Module Reading 5 items
    Items in this list are relevant to the entire module. Be sure to check their *importance* and read the *essential* items.
    1. Visualization analysis & design - Tamara Munzner, Éamonn Maguire 2015

      Book Recommended reading Tamara Munzner's new book is a comprehensive theoretically informed practical guide to visualization: a very good companion for learning about visual approaches to data analysis. We will be making references to appropriate chapters that support themes that we address throughout the module.

    2. Business Intelligence Analytics [Guest editors' introduction] - Danyel Fisher, Steven Drucker, Mary Czerwinski 2014-9

      Article Essential reading Three colleagues from Microsoft Research set up a session on Business Intelligence Analytics at the 2013 IEEE VIS conference in Atlanta, Georgia to explore the then state of the art. Some of the papers presented at the workshop have been reproduced in an important and accessible special issue of the journal IEEE Computer Graphics and Applications. These are short accessible papers that describe business applications of visual analytics and information visualization and report upon the experiences of using cutting edge visualization in BI. This short introduction sets the scene, makes some useful suggestions about BI&A and summarises the selection of research papers that follows. Good context and a short read - please have a look.

    3. Visual Business Ecosystem Intelligence: Lessons from the Field - Rahul C. Basole 2014-9

      Article Essential reading Rahul Basole has lots of experience of working in Visual Analytics in the Business context. This journal paper from IEEE Computer Graphics and Applications BIA special issue showcases thee examples of BI Visual Analytics developed by Rahul and colleagues at Georgia Tech. Nice examples of where BI&A is heading as a domain and indeed where the module is going in terms of visual and analytical emphasis. Please read.

    4. Information dashboard design: displaying data for at-a-glance monitoring - Stephen Few 2013

      Book Recommended reading Stephen Few's work on dashboards takes Edward Tufte's famous principles and applies them to the context of this form of graphical overview that is particularly appropriate for monitoring and operational control. Designing a dashboard? Few's important companion guide and the principles he outlines within it will help ensure that your design is effective.

    5. Communicating data with Tableau - Ben Jones 2014

      Book Recommended reading Books are not always the best place for software support. Tableau provides lots of official online support and you'll find various blogs and sites that do so unofficially. When you find one - let others know! But if you need a paper tome next to the desktop this seems a reasonable one to us. O'Reilly produce quality guides and we like Ben Jones' approach. Use the book to let him help you develop your Tableau capabilities.

  2. Weekly Reading 35 items
    Details will be updated on a weekly basis - so keep up to date with essential and recommended reading.
    1. Week 01 - Business Intelligence & Analytics 7 items
      1. Business Intelligence Analytics [Guest editors' introduction] - Danyel Fisher, Steven Drucker, Mary Czerwinski 2014-9

        Article Essential reading This short introduction to the series of papers published at the end of 2014 in IEEE Computer Graphics & Applications. Articles are selected "for their ability to represent interesting business challenges" and this introduction by three researchers at Microsoft summarises them and sets the broader scene for a visual analytics approach to business intelligence.

      2. Visual Business Ecosystem Intelligence: Lessons from the Field - Rahul C. Basole 2014-9

        Article Essential reading Please read through Rahule Basole's paper on his experiences in developing visualization applications in industry. Rahule has lots of experience and draws useful conclusions that frame our approach to the module nicely.

      3. From Data to Insight: Work Practices of Analysts in the Enterprise - Eser Kandogan, Aruna Balakrishnan, Eben M. Haber, Jeffrey S. Pierce 2014-9

        Article Recommended reading OK - non *essential* but I do recommend you have a look at the paper by Kandogan et al. in which they survey the business intelligence activity in a large organization and come to conclusions that support the approaches taken in the special issue and that we are using as a basis of the module. There is plenty of useful detail here that will help you in the module.

      4. Full References for Week 01 4 items
        A list of references used in the lecture and class - you are neither required nor expected to read this literature, but it is relevant and you may find it interesting. Reading it would enhance and broaden your knowledge and you may decide to use it when thinking about the individual project.
        1. From Data to Insight: Work Practices of Analysts in the Enterprise - Eser Kandogan, Aruna Balakrishnan, Eben M. Haber, Jeffrey S. Pierce 2014-9

          Article  A useful survey of practice as analysts in one large organisation report on their efforts to generate insights from data.

        2. Business intelligence success: The roles of BI capabilities and decision environments - Öykü Işık, Mary C. Jones, Anna Sidorova 2013-1

          Article  Study on Business Intelligence success in organizations looks systematically at use of BI to support different kinds of decision-making. Findings reveal that that good technology is important for BI success, but that the nature of decision-making and decision environment (in terms of levels of risk, certainty, creativity, repetition) has a bearing on the type of support required for BI. Provides guidelines for BI design and implementation that relate to the nature of decision-making and decision environments. A useful read.

        3. A Business Intelligence System - H. P. Luhn 10/1958

          Article  Amazing description of organizational needs for BI written over 50 years ago that uses numeric approaches and identifies the need for effective communication and visualization. Foresaw security issues (roles and privileges), a hierarchy of related systems (services) and inter-organizational communication (net). Worth reading for context.

        4. Enterprise Data Analysis and Visualization: An Interview Study - Sean Kandel, Andreas Paepcke, Joseph M. Hellerstein, Jeffrey Heer 12/2012

          Article  A detailed study in which Kandel and colleagues consider the use of BI in (predominantly) businesses in Northern California to identify tasks and approaches. They find scope for using visualization.

    2. Week 02 - Data Types & Data Sources 2 items
      1. From Data to Insight: Work Practices of Analysts in the Enterprise - Eser Kandogan, Aruna Balakrishnan, Eben M. Haber, Jeffrey S. Pierce 2014-9

        Article 

      2. Visualization Analysis and Design - Tamara Munzner 2014

        Book  Chapter 2 is about data types

    3. Week 03 - Information Visualization 9 items
      1. A tour through the visualization zoo - Jeffrey Heer, Michael Bostock, Vadim Ogievetsky 01/06/2010

        Article Essential reading A rapid tour through a variety of data sets with different visual idioms used in each case. This is a highly accessible paper by two of the most influential academics in Information Visualization that explores the issue of mapping visual variables to data characteristics very effectively. by using the DNA metaphor effectively. You need to read it and try the examples.

      2. Visualization analysis & design - Tamara Munzner, Éamonn Maguire, EBL. c2015 (electronic resource)

        Book Recommended reading Much of the core of Tamara Muunzner's book is relevant this week and will help you interpret and understand designs. Do have a look at Chapter 5 - Marks and Channels; Chapter 7 - Arrange Tables; Chapter 9 - Arrange Networks and Trees; Chapter 10 - Map Color and Other Channels.

      3. Design for Information: An Introduction to the Histories, Theories, and Best Practices Behind Effective Information Visualizations - Meirelles, Isabel 2013

        Book Recommended reading I like this book a lot and think it is a good companion for the module. It is very graphical, demonstrates good design and provides explanations for many of the design decisions made. It is a catalogue for information visualization with explanation. If you are interested in visualization then this book will help you develop and justify your practice.

      4. Videos for Week 03 2 items
        Two colleagues have produced excellent short videos on visualization through the TEDx series. I strongly recommend you consider their descriptions of our discipline- so much so that I have flagged these as ESSENTIAL!
        1. TEDxWaterloo - Miriah Meyer - Information Visualization for Scientific Discovery - Miriah Meyer 2011

          Webpage Essential reading Miriah Meyer describes her work with biologists to design and develop visualization systems that help them develop insights. Miriah is a very good communicator and reinforces some of the messages we have been delivering - with compelling arguments and effective examples. 12 minutes in length.

        2. London Moves, visualising 16 million cycle journeys across the UK capital: Jo Wood at TEDxEastEnd - Jo Wood 2012

          Webpage Essential reading Our own Jo Wood uses compelling graphics of usage of the TfL London Cycle Hire Scheme to show structure in complex data, detailing the design decisions and 'DNA' of his graphics as he does so. 15 minutes in length.

      5. Full References for Week 03 4 items
        A list of references used in the lecture and class - you are neither required nor expected to read this literature, but it is relevant and you may find it interesting. Reading it would enhance and broaden your knowledge and you may decide to use it when thinking about the individual project.
        1. Graphs in Statistical Analysis, The American Statistician - Francis J Anscombe 1973

          Journal  The original paper on statistical graphics in which Anscombe concludes by saying that : "The user is not showered with graphical displays. He can get them only with trouble, cunning and fighting spirit. It's time that was changed." It has changed. Graphics are much more achievable that they were in 1973, and we are using Anscombe's arguments to justify and develop graphics to see into data.

        2. Crowdsourcing graphical perception - Jeffrey Heer, Michael Bostock 2010

          Article  Jeff Heer and Mike Bostock use Amazon Mechanical Turk to re-run Cleveland and McGill's experiments on relative judgments of lengths and areas that inform our use of visual variables and development of visual idioms.

        3. How Maps Work: Representation, Visualization and Design - Alan M. MacEachren 1995

          Book  Still the most thorough book in academic cartography - the title says it all ... and this is explained in detail from all sorts of perspectives. This is a tough read and not for the faint hearted. But MacEachren does provide some useful visual nuggets of information - such as the table showing the information carrying properties of different visual variables that is reproduced on p.127 of Meirelles book.

        4. Visual thinking for design - Ware, Colin, Elsevier EBS. 2008 (electronic resource)

          Book  Colin Ware's book looks at human perception and cognition in some detail to explain why we respond to graphical stimuli in the ways that we do. It's a great read and the first three chapters are excellent and particularly relevant. We don't expect you to read Ware's book as these issues are not key to the module - but if you want to understand more and get interested in visualization as an approach that you would like to use in your project then this is an excellent and important source.

    4. Week 04 - Designing Dashboards 9 items
      1. Information dashboard design: displaying data for at-a-glance monitoring - Stephen Few 2013

        Book Essential reading Jason will be introducing Edward Tufte's famous design principles next week. Stephen Few takes these principles and applies them to a special case of operational business intelligence: dashboard monitoring. He defines what a dashboard is (and is not), identifies some design pitfalls from which many dashboards (and data visualizations) suffer and is very explicit about how such pitfalls can be avoided.

      2. Visualization analysis & design - Tamara Munzner, Éamonn Maguire 2015

        Book Essential reading You're hopefully already aware of this text, as it's core to the module. Many chapters cover principles relevant to dashboard design. If you've not already, take a look at Chapter 5: Marks and Channels and Chapter 10: Map Color and Other Channels. Also relevant are Chapter 6: Rules of Thumb, Chapter 7: Arrange Tables, Chapter 12: Facet into Multiple Views and Chapter 13: Reduce Items and Attributes.

      3. Web Resources for Week 04 3 items
        1. Stephen Few's blog

          Website  Few's blog contains numerous short articles and comment-pieces on doing business intelligence and data analysis. Thinking about how dashboards relate to other BI applications, you might consider a recent post entitled "Display Platforms for Quantitative Information".

        2. Leicestershire County Council's data visualization and dashboard projects

          Website  Describes several research and BI projects undertaken by Rob Radburn and colleagues at Leicestershire County Council.

      4. Full References for Week 04 4 items
        1. Information dashboard design: displaying data for at-a-glance monitoring - Stephen Few 2013

          Book  Stephen Few's work on dashboards takes Edward Tufte's famous principles and applies them to the design of BI dashboards.

        2. Business intelligence success: The roles of BI capabilities and decision environments - Öykü Işık, Mary C. Jones, Anna Sidorova 2013-1

          Article  Study on Business Intelligence success in organizations looks systematically at use of BI to support different kinds of decision-making.

        3. Designing an exploratory visual interface to the results of citizen surveys - Aidan Slingsby, Jason Dykes, Jo Wood, Robert Radburn 03/10/2014

          Article 

    5. Week 05 - Workshop : Information Design 2 items
      1. The visual display of quantitative information - Edward R. Tufte c2001

        Book Essential reading This is a seminal book on data graphics that has had a significant effect on graphical practice and been the result of much debate. In the first part of the book Tufte defines 'Graphical Excellence' with examples and explores concepts of 'Graphical Integrity'. These concepts will give you useful guidance in designing graphics and you can read this section through in under an hour. The second part is longer and outlines Tufte's 'Theory of Data Graphics' in which key concepts such as data-ink, the data-ink ratio, chartjunk and small multiples are defined and standard graphics redesigned according to this theory. This is a highly influential book. It is critical of the graphics used in science and media in the late 1970s - many of the apparent failings of which were fuelled by the printing technology of the time. How much of this is still relevant? Probably plenty. A critical reading of Tufte will undoubtedly help you with your approach to designing and using graphics. The first edition is a suitable alternative.

      2. Full References for Week 05 1 item
        A list of references used in the lecture and class - you are neither required nor expected to read this literature, but it is relevant and you may find it interesting. Reading it would enhance and broaden your knowledge and you may decide to use it when thinking about the individual project.
        1. Useful junk? - Scott Bateman, Regan L. Mandryk, Carl Gutwin, Aaron Genest 2010

          Article  This study was mentioned in class - it suggests that Chartjunk may have benefits ...

    6. Week 06 - Reading & Marking 0 items
    7. Week 07 - Visual Analytics & Social Media 4 items
      1. A Visual Analytics Agenda - J.J. Thomas, K.A. Cook 01/2006

        Article Recommended reading A readable four-page summary document that defines Visual Analytics as a scientific activity and includes definitions and a short research agenda. This is a good summary of the "Illuminating the Path" book and will help you understand the nature of Visual Analytics. It finishes with a call to arms ... "We must respond now with creative ideas and teams of interdisciplinary talents to move the visual analytics field forward rapidly. The breakthroughs will not only improve safety and security, but will support advancements in the sciences as well."

      2. Full References for Week 07 3 items
        A list of references used in the lecture and class - you are neither required nor expected to read this literature, but it is relevant and you may find it interesting. Reading it would enhance and broaden your knowledge and you may decide to use it when thinking about the individual project.
        1. Business Intelligence from Social Media: A Study from the VAST Box Office Challenge - Yafeng Lu, Feng Wang, Ross Maciejewski 2014-9

          Article  A paper from the 'Business Intelligence Analytics" special issue of IEEE CG&A that looks at social media analysis in a business context.

        2. Illuminating the Path 2005 (Paperback)

          Book  The original online book the defines the discipline of "Visual Analytics". See the 'Agenda' paper in IEEE CG&A (Thomas & Cook, 2006) for a readable summary.

        3. What About People in Regional Science? - Torsten Hägerstraand 14/01/2005

          Article  The idea of the space-time cube was originally proposed by Hägerstraand in 1970. Gennady and Natalia Andrienko's software implemented this idea nicely a couple of decades later.

    8. Week 08 - Population Profiling 0 items
    9. Week 09 - Geographic Decision Making 1 item
      1. A Visual-Analytics System for Railway Safety Management - Wallace P. Lira, Ronnie Alves, Jean M.R. Costa, Gustavo Pessin 2014-9

        Article Recommended reading

    10. Week 10 - Business Processes & Log Analytics 1 item
    11. Week 11 - Workshop : Visualization & Analysis 0 items
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