Visual Analytics on Public Sector Open Access Data Dr. Andreas S. Maniatis Commercial Manager / Head of BI CyberStream LTD Big Data and Business Analytics: Theory and Practice Wednesday, October 24 th 2012 AUEB Athens, Greece
CyberStream LTD The human face of technology Systems Integrator Established in 2000 Strong software engineering skills Focus on development of custom & reusable solutions Partner relationship with established technology companies Involvement in ΒΙ/BS since 1997 Digital Signage E-Learning Business process automation Portals Unified communications Enterprise networking
Issues to be discussed What Business Analytics are Key usability differentiators for Business Analytics Data Visualization concepts Visual Analytics as a key differentiator for Business Analytics
What Business Analytics are «Business Analytics» refers to the Exploration of Business Data to improve Decision Making Business Analytics answer sophisticated questions, such as «Why?» and «What next?» No real «Business Intelligence» without «Business Analytics» Basis for «Predictive Analytics»
You don t get Analytics with BI Analytics is Understanding. BI is Presentation. Visual Business Analytics Solves problems Unrestricted data exploration Imports from spreadsheets for answers User-driven Data on demand Fully integrated, extensive statistics Events and process-driven Solutions & Analytic Applications Traditional BI Delivers reports Pre-determined questions Export to spreadsheets for analysis IT constrained Pre-determined dimensions and measures Limited KPI s Database dependence Reports & Dashboards
Trends in Business Intelligence Trends in BI are towards analytics and visualization By 2012, 70 percent of Global 1000 companies will turn to in-memory analytics as the dominant performance layer, and they will move away from building aggregates and summaries and cubes. Kurt Schegel, Gartner Self-service BI, Mobile BI, SaaS, realtime analytics dominate the 2011 agenda James Kobielus, Forrester Research Trends driven by the fact that current BI systems do not meet the operational needs of business users in a rapidly changing environment.
The importance of senses Seeing 83 percent Hearing 11 percent Touching 3 ½ percent Smelling 1 ½ percent Tasting 1 percent 6 th Sense? Source: Oklahoma State University http://www.oces.okstate.edu/washita/uploaded_files/4h_learning_styles.doc
The importance of context
Visual Analytics: A Definition... the science of analytical reasoning facilitated by interactive visual interfaces Relative Terms: Visual Analysis Visual Data Analysis Visual Data Mining Illuminating the Path: Research and Development Agenda for Visual Analytics James J. Thomas, Kristin A. Cook IEEE Press, 2005
The Scope of Visual Analytics Source: http://www.visual-analytics.eu/faq/
Research Fundamentals for Visual Analytics Source: http://www.visual-analytics.eu/faq/
The Visual Analytics Process Source: http://www.visual-analytics.eu/faq/
The Visual Analytics Mantra Analyze Show the Important Zoom, Filter, Analyze Further Details on Demand Visual Analytics: Scope and Challenges Daniel A. Keim, Florian Mansmann, Jorn Schneidewind, Jim Thomas, and Hartmut Ziegler Visual Data Mining, pages 76 90, Springer-Verlag Berlin, Heidelberg 2008
Trends in Interactive Dynamics for Visual Analysis Interactive dynamics for visual analysis Jeffrey Heer, Ben Shneiderman Communications of the ACM, April 2012, Volume 55 Issue 4
Current Challenges in Extreme- Scale Visual Analytics 1. In-situ Analysis (In-memory Analytics) 2. Interaction and User Interfaces 3. Large-Data Visualization 4. Databases and Storage 5. Algorithms 6. Data Movement, Data Transport, and Network Infrastructure 7. Uncertainty Quantification 8. Parallelism 9. Domain and Development Libraries, Frameworks, and Tools 10. Social, Community, and Government Engagements The Top 10 Challenges in Extreme-Scale Visual Analytics Wong, Pak Chung Computer Graphics and Applications, IEEE, July-Aug. 2012, Volume: 32, Issue: 4
Key usability differentiators for Visual Analytics Factors demanding for usability differentiators: Flood of data Social Networks, Media (Facebook, Twitter, LinkedIn etc.) Search engines (Google etc) Variety of new data types / streams Faster cycle times New devices (Smartphones, Tablets etc.) The introduction of Analytics by itself Involve more power users in exploratory data analysis
The Two-seconds Advantage First to insight; first to action. A little bit of the right information, just a little bit beforehand whether it is a couple of seconds, minutes or hours is more valuable than all of the information in the world six months later this is the twosecond advantage. Vivek Ranadivé, Founder, CEO, Chairman TIBCO Software
The Power of Visual Analytics 1281736875613897654698450698560498286762 9809858453822450985645894509845098096585 9091030209905959595772564675050678904567 8845789809821677654872664908560912949686
Dimension-free Data Exploration Data Mashup Freely explore data without the need for IT tasks such as creating complex queries, modeling dimensions, or defining navigational paths. Combine data from disparate sources to gain a comprehensive view of the business & make better decisions faster
Predictive Analytics Spotfire blends powerful models & predictive analytics into analytic dashboards & guided apps Predicted Outcomes What-If controls for users Predictive Analytics under the hood
Event-Driven
Contextual Collaboration SPONTANEOUS AND FREEFORM TEAM DISCOVERY - SHARED DECISION SPACES DECISIONS WITHIN DEFINED WORKFLOWS & PROCESSES - ANALYTICS IN PROCESS THE INDSTRY S MOST COMPREHENSIVE COLLABORATIVE ANALYTICS SOLUTION LEADS TO BETTER DECISIONS AND BUY-IN
Enterprise-class Easy for Everyone, Adaptable for anything: Front Line & Information Workers, Business Analysts, IT, Developers, Managers, Executives, & Statisticians A single, highly-scalable analytics platform empowers a broad spectrum of business & technical users enterprise-wide.
Mobile o Ease of use features for Executives and Business Managers o Apple Store download o Enable Social features o Expand to Android based Tablets Samsung Galaxy Tablet
Turning a legacy reporting example
into an exemplary Visual Analytics paradigm
New Skills for the Data Analyst Data Scientist, Analyst or Statistician? Technical Skills Teamwork Skills Communication Skills Business Skills (with a little bit of empathy) Tool Mastery StoryTeller? Institute for Advances Analytics http://http://analytics.ncsu.edu/
A Visual Narration
Thank you! Dr. Andreas S. Maniatis Commercial Manager / Head of BI andreas.maniatis@cyberstream.gr http://www.linkedin.com/in/andreasmaniatis www.cyberstream.eu