Data Visualization - HorizonWatch 2015 Trend Report

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Purpose: The slides provide an overview on the Data Visualization trend
Content: Summary information about the Data Visualization trend is provided along with many links to additional resources.
How To Use This Report: This report is best read/studied and used as a learning document. You may want to view the slides in slideshow mode so you can easily follow the links.
Please Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.

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Data Visualization - HorizonWatch 2015 Trend Report

  1. 1. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Data Visualization: 2015 HorizonWatch Trend Report A bluemine original report – Client Version Contact: Bill Chamberlin, Principal Client Research Analyst / HorizonWatch Community Leader January 27, 2015
  2. 2. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.  Purpose: The slides provide an overview of the Data Visualization trend for IBM clients  Content: Summary information about the Data Visualization trend is provided along with many links to additional websites and resources.  How To Use This Report: This report is best read/studied and used as a learning document. You may want to view the slides in slideshow mode so you can easily follow the links  Available on Slideshare: This presentation (and other HorizonWatch Trend Reports for 2015) will be available publically on Slideshare at http://www.slideshare.net/horizonwatching  Please Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. About This Trend Report 2 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015
  3. 3. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Table of Contents 1. One Page Summary of the Data Visualization Trend 2. Data Visualization Trends to Watch in 2015 3. What Others Are Saying About Data Visualization for 2015 4. Websites, Reports, and Additional Resources 3 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015
  4. 4. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Table of Contents 1. One Page Summary of the Data Visualization Trend 2. Data Visualization Trends to Watch in 2015 3. What Others Are Saying About Data Visualization for 2015 4. Websites, Reports, and Additional Resources 4 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015
  5. 5. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Data Visualization – Trend Overview 5 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015 Drivers  Huge growth in Big Data…both structured and unstructured  Business Leaders need the insights presented in simple visual formats that aid and speed decision making  Advanced Data Visualization applications and capabilities with rich graphics and interactivity Challenges  Demand for easy to use / self-service tools and dashboards  Implementing and embedding Analytic and Visualization tools into daily activities and onto different mobile platforms  New processes = New skills required (e.g. storyteller)  Managing Data Quality Implications  The ability to present insights effectively can have a significant impact on decision making  Requirements for future visualization tools  Very easy-to-use self service tools designed for business users.  Full integration with big data / analytics platforms  Real time capability  Available on mobile devices  Embedded predictive and cognitive capability “The key to effective analysis of big data is the integration of visualization into analytics tools so that all kinds of users can interpret big data from a wide range of sources—clickstreams, social media, log files, videos and more.” IBM “Organizations with real-time visualization are able to obtain critical information within the decision window 78% of the time, or 22% more often than organizations without real-time visualization.” Aberdeen
  6. 6. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Table of Contents 1. One Page Summary of the Data Visualization Trend 2. Data Visualization Trends to Watch in 2015 3. What Others Are Saying About Data Visualization for 2015 4. Websites, Reports, and Additional Resource 6 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015
  7. 7. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Data Visualization Trends for 2015 1. Interest Grows: In 2015, we will see increased interest by LOB for all types of data discovery and visualization tool information, demos, and case studies 2. Spending Grows Too!: Many enterprises are further along the purchase cycle. Expect continued spending growth in data discovery, exploration, and visualization tools 3. Analytics Integration: For mature users, expect a movement towards advanced big data & analytic platforms that have embedded visualization capabilities, rather than a separate visualization tool on the backend 4. Real Time: Increasingly, execs are interested in real-time analytics and visualizations. Expect increased interest in this area in 2015. 5. Self Service: Driven by consumerization, self- service is a key trend as users want to be able to manipulate the data themselves, simulating expected changes in data in real-time to see impact 7 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015 HBR: Webinar: The Visual Organization “Adopters of interactive visualization achieve faster decision making, greater data access, and stronger user engagement, in addition to desirable results in several other metrics.” Aberdeen
  8. 8. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Data Visualization Trends for 2015 6. Mobile: Users will expect to have data discovery and visualization capabilities on they BYOD tablets and smartphones. And the expectation will be that all enterprise apps will have visualization capabilities embedded as part of the mobile application. 7. Cognitive: An emerging trend where users will expect that the applications to interact with them and learn how that user likes to discover, analyze, and visualize information. 8. 3D Visualizations: Used in product development for years, 3D is being increasing applied to business analytics as a way of helping decision makers understand insights in big data. 9. Story Telling: Decision makers want the data to tell a story that will help them arrive at a decision. Visualization tools will increasingly support that process and some will even allow for video output as part of that capability. 10. Broader Tool Set: Advanced visualization tools are still an emerging product area. Expect vendors to announce new versions with a broader set of smarter data integration tools, tighter integration with analytics platforms, better insight discovery tools and improved visualizations. 8 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015 “Widespread adoption of mobile technology and social computing has driven interest in visualization capabilities and real-time analytics.” Forrester “Good data visualization practices help not just to solve issues but also to pose new questions, encouraging the discovery and research process to go beyond common tasks to explore new patterns and trends that can potentially boost business efficiency.” TEC
  9. 9. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Data Visualization Trends for 2015 11. Hall of Fame: Vendors and media websites highlight best of breed visualization examples to help educate and sell. 12. Implementation Challenges: The main challenges of skills, culture, and data quality will impede the full rollout of data discovery and visualization tools 13. MS Excel 2013: Many individuals and small business users will discover that MS Excel offers much of what they need without the need. 14. Specialized Vendors: Focused vendors like Tableau, Qlik, and Spotfire continue to innovate and grow at a rapid pace as decision makers demand improved data visualization capability. 15. Large Vendors: Larger IT vendors will increase investments in this market to complement Big Data and Analytic capabilities. They will focus on integrating visualization and data discovery capabilities into their analytic platforms. 9 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015 IBM “The future of our universities, like the future of our cities, our social life and even our thoughts and emotions, is increasingly defined by the way we visualize data,” Mark Wigley, Dean of GSAPP at Columbia University
  10. 10. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Table of Contents 1. One Page Summary of the Data Visualization Trend 2. Data Visualization Trends to Watch in 2015 3. What Others Are Saying About Data Visualization for 2015 4. Websites, Reports, and Additional Resources 10 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015
  11. 11. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. The Data Visualization trend is all about presenting detailed insights in a visual way that helps individuals make faster & better decisions 11 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015 Hans Rosling demonstrates the use of advanced data visualization techniques to draw out insights from large amounts of data Hans Rosling Video 200 Countries, 200 Years, 4 Minutes - The Joy of Stats “Data visualization is the study of the visual representation of data, meaning "information that has been abstracted in some schematic form, including attributes or variables for the units of information.” Wikipedia Image Source: Wikipedia (link)
  12. 12. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. 12 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015 “The world is complex, dynamic, multidimensional; the paper is static, flat. How are we to represent the rich visual world of experience and measurement on mere flatland?” Edward R. Tufte University of Chicago Data Visualization Challenge 2014 - 1st Place Winner: Making Indonesia Visualization tools allow users to explore and interact in order to draw insights out of the data
  13. 13. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Data visualization tools lets users interact with big data to see patterns and insights they would not have seen otherwise 13 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015 “Data visualization—perhaps the most important vehicle for delivering and transforming data into knowledge—is fundamental to gaining understanding of increasingly complex business processes and data, as well as for encouraging better decision making.” TEC IBM: Watson Analytics “If used correctly, data visualization can help remove barriers to data comprehension by providing a shared language that simplifies complex issues and increases mutual understanding—no matter how big the big data becomes.” Accenture “Enterprises find advanced data visualization (ADV) platforms to be essential tools that enable them to monitor business, find patterns, and take action to avoid threats and snatch opportunities.” Forrester
  14. 14. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. A key driver of Data Visualization capabilities is that enterprises are finding it harder to leverage all the big data they collect 14 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015 IBM “Visualization exploits the human visual system to provide an intuitive, immediate and language- independent way to view and show your data. It is an essential tool for understanding information.” IBM “The key to effective analysis of big data is the integration of visualization into analytics tools so that all kinds of users can interpret big data from a wide range of sources— clickstreams, social media, log files, videos and more.” IBM “Data is just data. Its evolution depends on its management. How we present the data, knowledgeably and wisely, is key to adding real business value.” TEC “Tools for interactive data visualization form the perfect companion to a complex data environment.” Aberdeen
  15. 15. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Successful implementation of Data Visualization can help companies create a competitive advantage 15 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015 IBM “Identifying patterns, anticipating outcomes and proactively optimizing a response will be the basis for competition in the future. In the next 10 years, the companies that don't have analytics deeply embedded in their business model will most likely cease to exist” Gartner “The jury is still out as to whether most corporations will take full advantage of their data for competitive purposes. Companies that do realize that being able to analyze many forms of data at the same time in the form of interactive visualizations have a competitive advantage.” Data Visualization For Dummies “Through 2015, 85% of Fortune 500 organizations will be unable to exploit big data for competitive advantage.” Gartner
  16. 16. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. All signs are pointing a bright future for data discovery and visualization tools 16 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015 Forbes Kristen Sosulsk, NY Stern “Today, people interact with visual depictions through a mouse. Tomorrow, they'll be touching, swiping, grasping, feeling, hearing, smelling, and even tasting data. The next big thing is multisensory visualization that goes beyond the desktop.” IEEE “Visual data discovery tools will be growing 2.5x faster than rest of the BI market; investing in this enabler of end-user self service will become a requirement for all enterprises by 2018.” IDC “Ninety-one percent of business decision makers predict the demand for data visualization tools on mobile devices will increase in the next five years.” SAP
  17. 17. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. In 2015, expect visualization tools be become even easier to use so that all employees have the support they need to make decisions 17 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015 “The rise of data discovery and interactive visualization also increase the need for greater comprehension. A new style of analysis is emerging helping users to do analytics via storyboards, analytics chains and guided exploration.” Gartner Gartner “The ability to visualize data in real time or near real time can make or break a critical decision. Leading companies are using technology at the beginning of this process to help integrate data in real time, such that it can be displayed to the line-of-business much quicker, ultimately supporting more rapid data-driven decisions.” Aberdeen “Well-designed visualizations will deliver the right information to users, who are also spared waiting on IT to dig through raw data to produce digestible analysis.” Aberdeen
  18. 18. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Aberdeen Research has shown there are real performance benefits for organizations who have real-time data visualization capabilities 18 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015 “Organizations with real-time visualization are able to obtain critical information within the decision window 78% of the time, or 22% more often than organizations without real-time visualization.” Aberdeen “Organizations with real-time data visualization achieved a 26% increase in new pipeline accounts identified.” Aberdeen “Organizations with real-time data visualization achieved a 15% increase in cash generated from operations.” Aberdeen Aberdeen Aberdeen
  19. 19. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. There are numerous benefits to enterprises implementing data visualization capabilities 19 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015 “Advanced technology can make a significant difference in users’ ability to interface to large knowledge repositories.” Gartner “On average, those using data visualization tools report it would take an average of nine hours longer to see patterns, trends, and correlations in their company’s data without data visualization.” SAP “Visualization can play a key role by making the individual analytic components understandable and by tying them together into a comprehensible “big picture.” IBM 1. Absorb information in new and more constructive ways. 2. Visualize relationships and patterns between operational and business activities 3. Identify and act on emerging trends faster 4. Manipulate and interact directly with data 5. Foster a new business language DataInformed
  20. 20. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Marketing Professionals are finding that analytics and visualization tools can help them leverage all the big marketing data 20 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015 “As digital marketers find themselves awash in data, many rely on visualization and dashboard tools to help them see patterns and democratize discovery.” Gartner “The combined use of data visualization and customer segmentation can provide a competitive advantage that enables your company to adapt and thrive in today’s environment.” TDWI “Predictive capabilities empower marketers to fine-tune market segmentation, recognize correlations, and differentiate anomalies from patterns. Visualizing predictive analytics makes tools more accessible; leading marketers are 70% more likely to be able to use predictive tools without statistical expertise.” Aberdeen Annie Cushing
  21. 21. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. The most recent Forrester WaveTM Report provides a review of Advanced Data Visualization platforms 21 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015 Forrester Forrester: Six traits of advanced data visualization (ADV) platform capabilities 1. Dynamic data 2. Visual querying 3. Linked multi-dimensional Visualization 4. Animation 5. Personalization 6. Actionable alerts “Today we look for differentiated Advanced Data Visualization capabilities such as • Richness of ADV content. What are the BI platform ADV capabilities in terms of richness of data visualization content like graphs and charts that are available out of the box? • Data visualization effectiveness. What are the BI platform ADV capabilities in terms of allowing business users to efficiently and effectively visualize data sets and act on the results?” Forrester
  22. 22. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. As Advanced Data Visualization capability becomes more common, new processes and skills will be required 22 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015 “The challenge is that if management teams do not consciously build in great visualizations, their organizations will waste an inordinate amount of time sifting through the river of bits, and not get the effective insights they need” HBR “So what should CIOs do? Lead by example. Constantly and critically look at how information is being presented within the organization and ask themselves and others "Is this the best way to represent this data?” Forrester “As people begin to experiment with the creation and interpretation of visualizations and including them in presentations, a not-so-apparent shift will take place in the background where the traditional ‘analyst’ role slowly morphs to give way to a new breed — the storytellers — who will be more strategic and consultative in nature and not data-waiters, statisticians or always comfortable with extreme analytics.” Ruben Alcaraz Resources  Bill Shander Data Visualization Fundamentals  MIT Open Courseware: How to Process, Analyze, and Visualize Data  Fell in Love with Data How to Become a Data Visualization Expert: A Recipe  Flowing Data Tutorials, Books and Guides  Visualising Data Essential Collection of Visualization Resources
  23. 23. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Other related definitions from Wikipedia 23 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015 “Visual analytics is an outgrowth of the fields information visualization and scientific visualization, that focuses on analytical reasoning facilitated by interactive visual interfaces.” Wikipedia “Software visualization refers to the visualization of information of and related to software systems and their development process by means of static, interactive or animated 2-D or 3-D visual representations of their structure, execution, behavior, and evolution.” Wikipedia “Information visualization is the study of (interactive) visual representations of abstract data to reinforce human cognition. The abstract data include both numerical and non-numerical data, such as text and geographic information.” Wikipedia “Information graphics or infographics are graphic visual representations of information, data or knowledge intended to present complex information quickly and clearly. They can improve cognition by utilizing graphics to enhance the human visual system’s ability to see patterns and trends.” Wikipedia “Interactive Visual Analysis is a set of techniques for combining the computational power of computers with the perceptive and cognitive capabilities of humans, in order to extract knowledge from large and complex datasets.” Wikipedia
  24. 24. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Table of Contents 1. One Page Summary of the Data Visualization Trend 2. Data Visualization Trends to Watch in 2015 3. What Others Are Saying About Data Visualization for 2015 4. Websites, Reports, and Additional Resources 24 Data Visualization: A 2015 HorizonWatch Trend Report 27 Jan 2015
  25. 25. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Examples of Interesting uses of Data Visualization  Businessweek: 21 Heroes of Data Visualization  DataVis.ca – Gallery of Data Visualization  Data Mashup: 50 Great Examples of Data Visualization!  Designmodo: 20 Professional Examples of Data Visualization  General Electric: Data Visualization  Information is Beautiful - Over 300 of the best data- visualizations & infographics  Mashable: 9 Captivating Data Visualization Projects  Master’s In Data Science – 10 Cool Big Data Visualizations  Megan Jaegerman’s: News Graphics  OptimizeThis - Data Visualization Examples  University of Chicago – Data Visualization Challenge 2014  Visualizing Data - Best of the Visualisation Web (June 2014)  Yahoo News – 8 Great Examples of Data Visualization 25 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015 Example: Oscars Infographic
  26. 26. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. These four TED talk videos demonstrate the power of using data visualization techniques to understand trends in data 26 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015 The beauty of data visualization Artfully visualizing our humanity Hans Rosling on HIV Stats that reshape your worldview More Example videos at Best TED videos on Data Visualization
  27. 27. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Data Visualization – Selected 2015 Prediction Articles 27 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015  Qlik 2015 Technology Predictions: Qlik on Big Data  Tableau Top 10 Trends in Business Intelligence in 2015  Datapine Data Discovery and Visualization Predictions for 2015  Carson Research Data Visualization Predictions for 2015  The New Journalist Data Visualization Predictions for 2015  Eval Central The Future of Dataviz: What’s in Store for 2015?  Eager Eyes The State of Information Visualization 2015  Ann K. Emery Visualization in 2015: New Year’s Resolutions to Further Your Data Development  Peer1 Hosting The Emerging Trends of 2015 – Visualization and Data Discovery CBR “People are becoming increasingly savvy dataviz consumers, producers, and rockstars every day. If we’re not learning and growing too, we’ll be left in the dust.” Eval Center
  28. 28. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Data Visualization – Analyst Websites and Resources 28 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015  451 Research: Visualization  Aberdeen: Visualization  Forrester:  Website Tag: Data Visualization  Google Search: Visualization  Gartner:  Google Search: Visualization  Blog Posts: Visualization  IDC: Google Search Visualization  International Institute for Analytics Visualization (Google search)  Ovum Google Search Visualization “Data visualization tools are powerful means to democratizing data within an organization and enabling non-statistically trained users to rapidly gain insights about critical business decisions.” International Institute for Analytics Aberdeen
  29. 29. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Data Visualization – Media Websites and Resources 29 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015  Bloomberg.com: Visualization (search)  Businessweek: Visualization (search)  CIO-Asia.com: Visualization (search)  CIO.com: Visualization (search)  ComputerWorld: Visualization (search)  Forbes: Visualization (search)  GigaOM: Visualization (search)  Harvard Business Review: Visualization (search)  Infographics Mania: Your Visual Data Digest  InformationWeek: Visualization (search)  InfoWorld: Visualization (search)  NY Times: Visualization (search)  ZDNet.com: Visualization (search) • “A decade ago, data analysis was a chore. Workers poured figures into Excel and then spent hours searching for patterns. That process is getting less cumbersome, thanks to a handful of companies selling visualization software that can help even neophytes turn data—from hospital readmissions to call-center traffic— into colorful, interactive bar graphs and pie charts.” Bloomberg InformationWeek: Visual Data Discovery: 4 Storytelling Approaches Compared
  30. 30. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Data Visualization – IT Vendor and Consultant Websites and Resources 30 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015  DataWatch: Website  David McCandless: Information is Beautiful  Deloitte: Analytics Visualization Studio  IBM: Data Visualization  Information Builders: Visualization  Infosys: Visualization (search)  Microsoft: Visualization (search)  Microstrategy: Visualization (search)  Oracle: Visualization (search)  Perceptual Edge: Visual Business Intelligence  Qlikview: Visualization (search)  SAP: Visualization (search)  SAS: Visualization (search)  Tableau Software: Visualization (search)  Tibco: Visualization (search) and Spotfire IBM Research Projects: Graphics and Visualization “Complex supply chains require sophisticated, connected tools to monitor risks, predict disruptions, and support rapid recovery as part of an overall resilience strategy. For leading companies, this line of thinking has led to an increase in adoption of advanced tools grounded in analytics and visualization.” Deloitte
  31. 31. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Data Visualization – Selected Software Vendors 31 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015  Actuate: Data Visualization Software  Advizor – Visualization Gallery  DataWatch - Website  IBM: Visualization  Information Builders: Visualization  Jaspersoft: Dashboards  Microsoft: SandDance  MicroStrategy: Website  Oracle: AutoVue  QlikView: Visualization  Panorama: Dashboard / Workboard  Pentaho – Visualization  SAP: Visualization  SAS: Visualization  SpagoBI: Self-Service  Tableau Software: Data Visualization  Tibco Software: Spotfire Gartner
  32. 32. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Data Visualization – Selected Social Sites and Searches 32 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015  Google Blog Search: Visualization  Google+ Communities Search: Visualization  LinkedIn Group Search: Visualization  Pinterest Search: Data Visualization  Slideshare: Data Visualization  Twitter hashtag searches: #Visualization #dataviz  Twitter accounts to follow: @visualized, @visually, @infobeautiful  Tumblr Search: Visualization  YouTube: Data Visualization Playlists and Data Visualization Channels  Wikipedia: Information Visualization and Data Visualization and Infographics #dataviz – Twitter Hashtag Search
  33. 33. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Data Visualization – Other Selected Websites & White Papers 33 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015  Data Visualization for Marketing: Picture Perfect Customer Insight, Aberdeen, Dec 2014  Big Data Visualization, Dr. Nan Cao (IBM), Dec 2014  Big Data Visualization: Seeing the Haystack as a Pile of Needles, Aberdeen, Dec 2014  Data Visualization & Dashboard Projects, Pentaho, Dec 2014  Data Visualization for the Internet of Things, Aberdeen, Dec 2014  Data Visualization: How to Tell Number Stories with Pictures, Association for Financial Professionals, Nov 2014  Data Visualization 101: How to Design Charts and Graphs, HubSpot/Visage, Oct 2014  Data Visualization: When Data Speaks Business, TEC, Sept 2014  Interactive Data Visualization: The IT Perspective, Aberdeen, July 2014  A Visualization is Worth a Thousand Tables, Ziff Davis, June 2014  Interactive Data Visualization: Strategies and Key Technologies, Aberdeen, March 2014  Principles of Data Visualization - What We See in a Visual, FusionCharts, Feb 2014  Choosing a successful structure for your visualization, IBM, Feb 2014 Association for Financial Professionals: Data Visualization: How to Tell Number Stories with Pictures “Financial planning and analysis (FP&A) teams are increasingly being challenged to produce and organize financial data, and also convey it through intuitive images. Without the ability to organize and present data efficiently, decision- making takes longer” AFP
  34. 34. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Data Visualization – Other Selected Websites & White Papers 34 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015  Top Considerations for Effective Visualizations, TWDI, Dec 2013  Making Data Visualization Great at The World Bank, World Bank Data Group, Dec 2013  Aberdeen - Real-Time Data Visualization Do it Live, Aberdeen, October 2013  Using visualization to understand big data, IBM, Sept 2013  Understanding Data Visualization, Accenture, Aug 2013  What Makes a Visualization Memorable?, MIT/IEEE, Aug 2013  Delivering Self-Service BI, Data Visualization, and Big Data Analytics, Intel, June 2013  Data Visualization: Making Big Data Approachable and Valuable, IDG Enterprise, Nov 2012  Extending business intelligence with dashboards, IBM Cognos Business Intelligence, Sept 2012  Enterprise Data Analysis and Visualization: Sean Kandel, Andreas Paepcke, Joseph M. Hellerstein, and Jeffrey Heer, Aug 2012  Criteria for Evaluating Visual EDA Tools, Visual Business Intelligence Newsletter, June 2012 TWDI IBM
  35. 35. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Selected Books on the Data Visualization Topic  Beautiful Evidence by Edward Tufte  Beautiful Visualization: Looking at Data Through the Eyes of Experts, by Julie Steele and Noah Iliinsky  Designing Data Visualizations, by Noah Iliinsky and Julie Steele  Envisioning Information by Edward Tufte  Graph Design for the Eye and Mind, by Stephen Kosslyn  Infographics Designers' Sketchbooks, by Steven Heller  Information Dashboard Design: The Effective Visual Communication of Data, by Stephen Few  Information Visualization, Third Edition: Perception for Design (Interactive Technologies, by Colin Ware  Interactive Graphics for Data Analysis: Principles and Examples (Chapman & Hall/C​RC Computer Science & Data Analysis), by Martin Theus  Now You See It: Simple Visualization Techniques for Quantitative Analysis, by Stephen Few  Show Me the Numbers: Designing Tables and Graphs to Enlighten, by Stephen Few  The Book of Trees: Visualizing Branches of Knowledge, by Manuel Lima,  The Laws of Simplicity (Simplicity: Design, Technology, Business, Life), by John Maeda  The Craft of Information Visualization: Readings and Reflections, by Ben Shneiderman  The Wall Street Journal Guide to Information Graphics, by Dona Wong  Visual Thinking: for Design, by Colin Ware  Visualize This: The FlowingData Guide to Design, Visualization and Statistics, by NathanYau  Visualizing Data: Exploring and Explaining Data with the Processing Environment, by Ben Fry 35 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015
  36. 36. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Data Visualization – Selected Experts/Influencers 36 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015 LinkedIn Profile Job / Company Twitter Blog Enrico Bertini Assistant Professor at NYU-Poly FILWD http://fellinlovewithdata.com/ Michael Cristiani Senior Consultant, The Lewin Group mcristia Kaiser Fung Vice President, Business Intelligence and Analytics Vimeo Junkcharts http://www.kaiserfung.com/ Noah Iliinsky Amazon Web Services, ComplexDiagrams.com Noahi ComplexDiagrams.com Ben Jones Tableau Public Product Marketing Manager, Tableau Software DataRemixed http://dataremixed.com/ Andy Kirk Founder and Managing Director, Visualising Data Ltd Visualisingdata www.visualisingdata.com Alan Keahey Visualization Expert, IBM Watson Emerging Technologies Group tueviz http://holisticsofa.com/ Robert Kosara Visual Analytics Researcher, Tableau Software eagereyes http://eagereyes.org/ Andy Kriebel Data Visualization Guru, Facebook VizWizBI http://vizwiz.blogspot.com/ Zhicheng Liu Research Scientist, Adobe zcliu http://www.zcliu.org/blog Andrew Vande Moere Associate Professor, KU Leuven Infosthetics http://infosthetics.com/ Daniel G Murray Director of BI Services, InterWorks, Inc DGM885 http://dgm885.tumblr.com/ Scott Murray Assistant Professor of Design at USF alignedleft alignedleft.com Cole Nussbaumer Founder | Speaker | Author - Storytelling with data Storywithdata http://www.storytellingwithdata.com/ Jon Peltier Owner of Peltier Technical Services Inc, Jon_Peltier http://peltiertech.com/WordPress/ Naomi B Robbins Consultant / seminar leader on communicating data clearly NBR Nbrgraphs www.nbr-graphs.com Matt Stiles Data Editor, News Applications NPR stiles http://thedailyviz.com/ Edward Tufte Founder, Tufte.com EdwardTufte tufte.com Martin Wattenberg Research Scientist at Google Wattenberg www.bewitched.com Dr. Nathan Yau, PhD Founder at Flowing Data Flowingdata http://flowingdata.com/
  37. 37. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Data Visualization – Selected IBM Resources and Links 37 Data Visualization: A 2015 HorizonWatch Trend Report 27 Jan 2015 Software:  Data Visualization  Many Eyes  AnalyticsZone – Visualizations  Dashboards  SPSS Visualization Designer  Cognos Insight  Watson Analytics IBM Research:  Graphics and Visualization  Visualization and Behavior Group Developers  Watson Developer Cloud: Visualization Rendering Many Eyes IBM Cognos Insights IBM “Visualization plays a key role in enabling the understanding of complex data analytics, and it can convey the key analytical nuggets of information to other people in the organization who have less expertise in analytics.” IBM
  38. 38. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Selected IBM Social Media Websites, resources and links 38 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015  Twitter:  @AnalyticsZone  @IBMCognos  @CognosInsight  @ibmbizanalytics  @IBMbigdata  @manyeyes  Facebook: AnalyticsZone, Cognos, SPSS  Google+: AnalyticsZone  Community: AnalyticsZone / Manyeyes  LinkedIn: Cognos / IBM Big Data  Blogs: Analytics Zone / Big Data Hub Video Playlist: Creating Effective Visualization Series with Noah Iliinsky Twitter: @AnalyticsZone
  39. 39. © 2015 IBM Corporation IBM Market Development & Insights Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution. Additional Information on Technology Trends 39 Data Visualization: A 2015 HorizonWatch Trend Report27 Jan 2015 Other slide decks in this 2015 Trend Report series have been posted to Slideshare You are also invited to check out the following IBM websites and resources – IBM Academy of Technology – IBM Center for Applied Insights – IBM Institute for Business Value – IBM Research and 5 in 5 – IBM’s Smarter Planet Blog

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