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Surfing Technology Waves

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This presentation covers massive waves of change throughout the analytics industry. It covers transformational trends, career trends and new "blue ocean" opportunities in a new world of data. Cool topics such as Virtual Reality, Robotics, Automation, Predictive and Prescriptive Analytics, Internet of Things, Big Data, Cloud and Hybrid are explored. If you are interested in having me present this session to your group, please contact me. Thanks!

Published in: Data & Analytics
  • Spot on!! The world is moving to predictive analytics supported by machine intelligence. What are current data viz vendors doing to add NL query responses?
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  • Very interesting and helpful , Thanks for sharing you knowledge and educating us ..
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Surfing Technology Waves

  1. 1. Jen Underwood @idigdata jenunderwood.com Analytics Industry Trends www.impactanalytix.com
  2. 2. Jen Underwood 20 years of industry experience IBM Analytics Insider, SAS contributor, former Tableau Zen Master, Microsoft Principal Program Manager Bachelor of Business Administration – Univ. of Wisconsin Milwaukee Post Grad Certificate Computer Science – Data Mining Univ. of California, San Diego About the Speaker jenunderwood.com @idigdata
  3. 3. Why? Beyond hype, it is imperative to understand when to embrace a technology trend in its formative stages.
  4. 4. Source: Gartner
  5. 5. Harvard Business Review stated data-driven companies 5% more productive 6% more profitable What-if 1% better... 1% reduction in churn... 6% increase in profits 1% improvement in sales price...8.7% in operating profits What is 1% Worth?
  6. 6. Digital business transformation Cloud computing Intelligent analytics Smart machines Internet of things Physical + virtual world Top Technology Trends
  7. 7. Explore digital business models or be disrupted Innovate through the business ecosystem Intelligent big data and predictive analytics Become an experimental organization Huge “Blue Ocean” Opportunity
  8. 8. Maximize existing resources Sharing Economy Knowledge, Content and Talent-Sharing Analytics marketplaces Crowdfunding with Kickstarter and Indiegogo Virtual Assistants, Elance, and TaskRabbit
  9. 9. Blending Physical and Virtual Worlds
  10. 10. Blending Physical and Virtual Worlds
  11. 11. Intelligent Robots
  12. 12. BLS 2010 Occupations Source: Oxford Martin School
  13. 13. Will your job be done by a machine? http://www.npr.org/sections/money/2015/05/21/408234543/will-your-job-be-done-by-a-machine
  14. 14. Economic crash excessive analytics demand to navigate unplanned business scenarios
  15. 15. What happened? Why did it happen? What is happening? What will happen? CompetitiveAdvantage Business Impact Descriptive Analytics Diagnostic Analytics Predictive Analytics Cognitive Analytics What can I do about it? Prescriptive Analytics Analytics is Maturing and Evolving
  16. 16. Exponential Data Growth
  17. 17. Data is GOLD Make data accessible Choice & open standards Scale storage and processing Secure and compliant Simple to use Everyone Needs to Master Data
  18. 18. 3D and immersive data experiences Analytics automation and embedding Natural language and cognitive systems Predictive and prescriptive analytics Real-time and streaming analytics Big Data, IoT and data lakes Cloud and hybrid data integration Growing Analytics Trends Today
  19. 19. Vendors Unity 3D, Oculus Rift, Hololens, WebGL, Google, and more Discover and understand patterns hidden in data Scientific, health, game apps early adoption; now expanding into other areas Immersive Data Experiences Source: https://www.youtube.com/watch?v=yF9gImZB1eI
  20. 20. Unity 3D - 3-D data browser is just one tool Caltech http://siliconangle.com/blog/2014/05/29/virtual-reality-brings-big-data- visualization-to-life/ IVIZ - https://arxiv.org/ftp/arxiv/papers/1410/1410.7670.pdf Immersive Experiences
  21. 21. Github Vizcities - http://cdn.rawgit.com/UDST/vizicities/master/examples/colour-by-height/index.html
  22. 22. Source: http://graphics.wsj.com/3d-nasdaq/
  23. 23. Vendors IBM, Tellius, Thoughtspot, Sisense, DataRPM, and more Index data, not model Queries via search and speech Analytics “Bots” Natural Language Query
  24. 24. Vendors Narrative Science, Automated Insights, and more Basic descriptions of the charts Intelligent descriptions in more advanced solutions Natural Language Reports
  25. 25. Natural Language Query Narrative Science
  26. 26. Vendors Frontline Systems, Oracle, SAS, IBM and more What-If, Simulation and Optimization Combines historical data, business rules, mathematical models, variables, constraints and machine learning algorithms. How can we achieve the best outcome and address uncertainty? Simulations run with known and randomized variables to recommend next steps, display scenarios and see range of possible outcomes. Prescriptive Analytics
  27. 27. Frontline Systems
  28. 28. Vendors Salesforce Einstein, IBM Watson, BeyondCore, SAP (formerly KXEN), Data Robot and more Citizen Data Science Automation of descriptive and CRISP-DM processes Automated Analytics 3 6 IBM Watson
  29. 29. Dynamic learning: gets smarter with each interaction Natural language processing to understand complexities of unstructured data Hypothesis generation and evaluation by applying advanced analytics to weigh and evaluate a panel of responses Language, text, image, emotion and more Capability to analyze and understand human communications at scale Cognitive Computing
  30. 30. Watson Explorer 360-degree information application Question & Answer service enables the user to ask natural language User Modeling service provides the user with a more detailed profile of the client Data from enterprise systems such as CRM, DBMS, CMS and SCM Analytics, in context Activity feed for up-to-the-moment information Data-driven alerts Content analytics to reveal insights from unstructured data Collaboration and information sharing Cognitive Exploration example – information, analytics and cognitive insights presented in context 42
  31. 31. False tweet wiped $136 billion from S&P 500 in 2 minutes Real-Time and Streaming Analytics
  32. 32. Vendors Almost everyone! Data gravity dictates need to move data for hybrid connectivity Cloud and Hybrid BI Forrester Cloud BI Wave Q4 2015
  33. 33. Speed of light decisions Even with fast networks and caching, distance, bandwidth and latency = HUGE challenges Timely querying from a BI app with a global data center footprint vastly improves BI user experience Need to defy data gravity Where is your data in the cloud?
  34. 34. Data as a Service Time-to-solution is 5-10x faster than traditional ETL techniques Less costly compared to data replication and consolidation IT creates views aka data services Business reports connect and transparently query hybrid data Data virtualization for agility
  35. 35. Enterprise Data Catalogs Knowledge on meaning, structure, location and usage of data across the enterprise Data source directory containing metadata regardless of data source type or location Integration with BI Tools Find data stored anywhere
  36. 36. Enjoy the waves of change in analytics Keep a pulse on transformational trends Monitor top job and career changes on Indeed, professional groups, vendor messaging and other sites Reinvent yourself or your business in the new world of data Grab your surfboard 5 0
  37. 37. www.impactanalytix.com

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