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Data visualization trends in Business Intelligence: Allison Sapka at Analytics Meetup Dec '12

Allison Sapka's presentation at the Analytics and Data in Financial Services Meetup in Dec 2012. Alison discusses trends in Data Visualization, including why visualization is so powerful when implemented well, and confusing or misleading when done badly

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Data visualization trends in Business Intelligence: Allison Sapka at Analytics Meetup Dec '12

  1. 1. Business Intelligence:Data Visualization TrendsAllison SapkaDecember 2012
  2. 2. Business Intelligence: Data Visualization Trends  Introduction and Agenda Review  About Resources Global Professionals  Significant Trends  Questions 2
  3. 3. Significant Trends  “Consumerization of enterprise software”  Social  Mobile  Cloud  Big Data  Hadoop  Analytical talent gap  Self service / self reliance  Interactive data visualization 3
  4. 4. Trends – Data Visualization “(Data visualizations can be) at best confusing, and at worst misleading, …but the good ones are an absolute revelation. The best data visualizations are ones that expose something new about the underlying patterns and relationships contained within the data. Understanding those relationships — and being able to observe them — is key to good decision making.” 20 http://radar.oreilly.com/2012/02/why-data-visualization-matters.html 21 http://www.qlikview.com/us/explore/products/overview#%2Fus%2Foverlay%2Fproducts-overlay%3Fid%3D%7BE708D1E9-B26A-443A-BA80-5B1AAA42ABDA%7D 4
  5. 5. Trends – Data Visualization Hans Roslings 200 Countries, 200 Years The video illustrates visualization techniques that make 120,000 data-points tell a compelling story that anybody can easily understand. 17 http://blog.strat-wise.com/2011/08/04/what-is-bi-30.aspx/ 5
  6. 6. Trends – Data Visualization Advanced data visualization is based on the fact that 70% of the human sensory receptors are dedicated to  Interactive data exploration vision while the other four senses share the  Infographics remaining 30%. In addition, our brains are much more effective recognizing shapes, trends and  Pinterest patterns than analyzing spreadsheets or tables full of numbers. Visual data analysis principles are based on the work of Edward Tufte and Stephen Few. 18  The move to new analytics tools is driven by an explosion of data that has accompanied the emergence of cloud computing, mobile computing and social media. Analysts also point out that theres been a steady increase in the number of tools that can easily aggregate and analyze large data sets.  The tools are coming from traditional IT vendors, such as IBM, Teradata, Tibco and SAS, as well as BI-focused companies like QlikTech and newcomers like Birst, Tableau and Splunk.  The new analytics systems can provide "more and more ways to capture, move, scrub and analyze data," said Bill Abbott, a PwC principal specializing in applied analytics. 18 http://blog.strat-wise.com/2011/08/04/what-is-bi-30.aspx 19 http://www.computerworld.com/s/article/9227689/New_BI_Practices_Yield_Big_Payoffs?taxonomyId=154 6
  7. 7. Trends – Data Visualization  Visualizations for Exploration & Discovery  Imprecise  Allows for quick iteration and experimentation  Enable user to “find the signal within the noise”  Software and automation are enablers  Great for detecting the underlying patterns and relationships the data may have  Visualization for Influence  Organizations are beginning to invest significant resources in providing interactive visualizations to their customers and the public  Allows viewers to better understand the companys business, and interact in a self- directed manner with the companys expertise  Visualization for Explanation  Clean – think “less is more”  Easily digestible - pare down the information to its simplest form for efficiency  Relevant when you understand what the data is telling you and you want to communicate it to someone else  Used in presentations and sales reports  Infographics are a subset 22 http://radar.oreilly.com/2012/02/why-data-visualization-matters.html 7
  8. 8. Trends – Data Visualization Top Reasons to Use Data Discovery and Visualization to Make Better Decisions  Visually Insightful - Quickly spot trends, patterns, and outliers.  Fast - Quick response times facilitate speed-of-thought analyses.  Easy - Intuitive UI (user interface) and actions make analysis simple and fun.  Do-It-Yourself - Build dashboards in minutes without help from IT.  Any Data - Explore any data including Excel spreadsheets, Salesforce.com, and corporate databases including Hadoop.  Smarter Than Excel - Understand your Microsoft Excel data faster with the power of visual business analytics.  Big Data Analytics - Unlock insights trapped in vast databases.  Mobile - Get answers at your fingertips, anywhere, anytime.  Collaboration - Share discoveries with your colleagues via web, email, mobile, and social media. 23 http://www.microstrategy.com/software/business-intelligence/data-discovery-visualization/ 8
  9. 9. Trends – Data Visualization Data Visualization Tools (from Tableau) 24 http://www.tableausoftware.com/products/desktop/ 9
  10. 10. Trends – Data Visualization Google has just released a new tool that visualizes search queries on its search engine from around the world. Called the Search Globe, the browser-based tool shows you where searches are coming from in a given day across the world. The visualization also shows the language of the majority of queries in an area in different colors. 25 http://techcrunch.com/2011/05/05/google-search-globe-visualizes-daily-queries-around-the-world/ 10
  11. 11. Trends – Data Visualization 26 http://visual.ly/#gc_filter 11
  12. 12. Trends – Data Visualization 27 http://pinterest.com/pin/61854194852227252/ 12
  13. 13. Trends – Data Visualization Mobile & Cloud Infographic 7 http://mashable.com/2012/06/02/mobile-apps-cloud-infographi/ 13
  14. 14. Trends – Data Visualization 28 http://www.coolinfographics.com/ 14
  15. 15. Questions  Questions? 15

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