Making Sense of your data - eLearning Network April 2014


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Slides from a presentation at the eLearning Network event on xAPI (Project Tin Can)

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Making Sense of your data - eLearning Network April 2014

  1. 1. Making Sense of Your Data Andy Wooler, Academy Technology Manager April 4th 2014
  2. 2.  To materially improve business performance: ‒ Customer satisfaction – UP ‒ Revenue – UP ‒ Costs – DOWN By  Linking business data to learning data.  Using analytics to generate actionable insight. Why are we doing this?
  3. 3.  Variety – not just social media but text files, email, machine log files.  Velocity – not just how quick, but also data bursts.  Volume – the sheer amount of data. Big data
  4. 4. 4-ENGINE BOEING JET: 25,000 flights 1920TB daily The data multiplier effect at work TWITTER: 200M users 90M "tweets" 8TB daily NEW YORK STOCK EXCHANGE: 2.7 billion shares 1TB daily BUSINESS DRIVEN HUMAN DRIVEN MACHINE DRIVEN WHAT DOES 24 HOURS OF DATA LOOK LIKE? , LARGE SYNOPTIC SURVEY TELESCOPE (LSST): Galaxy map 3200 MP 30,000 pics 3000TB daily
  5. 5. Where are you on the scale? Source: world-of-haves-and-have-nots/
  6. 6.  In groups of 3 or 4 people, discuss where you are on the maturity model.  Things to think about: ‒ Do you have a data warehouse in L&D? ‒ Do you share one with HR or the business in general? ‒ Is it just SCORM/AICC data? ‒ What tools do you use apart from Saba’s reporting tools? Roundtable discussion
  7. 7. LMS Assessment Tool 2013: ARIES: Analytics and Reporting Integrated Enterprise System HDS Academy data today
  8. 8. HDS Academy data today
  9. 9. HDS Academy data today
  10. 10. LMS IT Project Database HDS Community The Loop Help Desk CRM Systems LRS (Learning Record Store) 2013: ARIES: Analytics and Reporting Integrated Enterprise System 2018: Advanced Analytics tools HDS Academy data future
  11. 11.  In groups of 3 or 4 people, think about what other data might be useful to you.  Things to think about: ‒ Do your top performers all read the same books, watch the same videos? ‒ What business data might also be useful? e.g. CRM systems. ‒ Is there useful data in your community tools? Roundtable discussion
  12. 12. LRS (Learning Record Store) WBT completion data Skill/ competence data Activity data for informal learning TinCan xAPI data from anywhere! External non- SCORM content Data from LRS can also be accessed and surfaced elsewhere using xAPI Where does xAPI fit in?
  13. 13. xAPI: A Game Changer? Source:
  14. 14.  In groups of 3 or 4 people, think about what data xAPI could deliver for you.  Things to think about: ‒ Data value - how to determine if it's trash or treasure? ‒ Data variety including structured, unstructured and possibly machine data. ‒ Your ability to understand the meaning of this data. xAPI: What do we need to track?
  15. 15.  Fred complained in the internal community about his inability to sell widgets and customers who he had managed to sell to were complaining in the customer community that they don’t know enough or understand the product. Saba tells us the Fred never completed his widget certification and help desk activity confirms Fred’s customers as having more than average issues with widgets. The internal community data also tells us that Fred never viewed the “how to sell more” book relating to widgets. Data from CRM confirms Fred sells less widget product than his peers. Data from Saba also confirms Fred’s skills rating is considered low compared to his peers in widget products. Actionable insights
  16. 16.  We need to expand our thinking on data outside of L&D/HR.  We need to get onboard with xAPI NOW!  We need to get new skills, such as Analytics, into L&D.  And use those analytics to generate actionable insight. What next?
  17. 17. Big data or big insights? “It’s not the size of your source but the size of the insight that really matters.” Michael Hay, vice president of product planning, Hitachi Data Systems source-but-the-size-of-the-insight-that-really-matters.html
  18. 18. Questions and Discussion
  19. 19. Thank You © Hitachi Data Systems Corporation 2014. All rights reserved. HITACHI is a trademark or registered trademark of Hitachi, Ltd. Innovate With Information is a registered trademark of Hitachi Data Systems Corporation. All other trademarks are properties of their respective owners.