Improving Decison Making with Layers

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With all of the killer apps, data, incredible visualization and different devices out there in the consumer space, why we aren’t making more/faster progress in adopting some of them in the companies where we work?

This presentation explores this question in more detail though a story and several examples and then offer some ideas for how you might be able to break this logjam and get some new decision making tools into your organizations.

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  • Closer to a natura
  • Leverages platforms and data already in placeIn context = familiar
  • Market potential and market share
  • Decision making for your customer
  • To further explore some of the partly cloudy future, id like to do it in the context of where we are seeing new ideas coming from so you can be sure to keep an eye on them. Given the innovations as a backdrop, then what should you as a leader do in your organization.
  • Google Earth, MapsTableauSwivelUshadasiRubyYahoo Pipes
  • Improving Decison Making with Layers

    1. 1. ImprovingYour BI Roadmapwith LayersChris CurranPartner & CTO<br />
    2. 2. 4.6 billion<br />
    3. 3. The Internet of Things<br />
    4. 4. The Internet of Things<br />Common Space<br />
    5. 5. Where’s a good place to <br />eat sushi nearby?<br />How long will my flight<br />be delayed? <br />
    6. 6. “Why Can’t I Get It On My iPhone?”<br />
    7. 7.
    8. 8. Copenhagen<br />
    9. 9. Tallinn, Estonia<br />
    10. 10. Changing of the Guard<br />Stockholm<br />
    11. 11. Michelangelo’s The Crouching Boy<br />St. Petersburg, Russia<br />
    12. 12. 4 hour train<br />
    13. 13.
    14. 14.
    15. 15. Business Decision<br />Should we send the tour group to Moscow?<br />Goals<br />Be Safe<br />Manage Risk<br />Happy Customers<br />Inputs<br />Fire Status<br />Weather & Winds<br />Government, NGO Advisories<br />Past Experiences<br />Current Passenger Health<br />Recent Tour Operator Experiences<br />
    16. 16. Image shared by mooney47 via Flikr<br />
    17. 17. Weather<br />Underground<br />Bloomberg, CNN, etc.<br />Russian <br />Government<br />Russian Travel Forums<br />
    18. 18. Google Maps as a Mental Model<br />
    19. 19. What if….<br />Weather<br />Train Routes<br />Advisories<br />Tours<br />Our Excursions<br />Fire Status <br />48hrs<br />
    20. 20. And, What if….<br />Deck Plan<br />Decks 5-7<br />Layers<br />Decks<br />Other<br />Activity Level<br />Health Profile<br />Satisfaction<br />Tours<br />48hrs<br />
    21. 21. Mountain View<br />Moscow<br />OR<br />
    22. 22. What are Layers?<br />A visual information system that combinespublic and proprietary tools to present relevantinformation in-context to decision makers<br />
    23. 23. Why Layers?<br />
    24. 24. Who “Gets” Layers?<br />Military<br />Scientists<br />Photoshop<br />Gaming<br />Marketers<br />Web 2.0 Entrepreneurs<br />
    25. 25. PakReport.com<br />Powered by Ushahidi<br />
    26. 26. Demand Estimator<br />Diamond Management & Technology Consultants<br />
    27. 27. Center for Future Banking<br />MIT Media Lab<br />
    28. 28. Interactive Floor Plan<br />Westin Times Square<br />
    29. 29. New York Nearest Subway iPhone App<br />
    30. 30. 2007 Ford Focus<br />Salvage: $1,235<br />Curran, Christopher<br />Hood: $875<br />+<br />Lamp: $320<br />+<br />Body Shops<br />+<br />Policy Details<br />Bmpr: $515<br />+<br />Claim Details<br />Auto Claims AR Mock-Up<br />
    31. 31. Pulse Social Media Sentiment Analysis<br />Diamond Management & Technology Consultants<br />
    32. 32. 3 Things You Can Do<br />
    33. 33. 1. Find a Layers Candidate<br />Excel or<br />Layers<br />??<br />High<br />Strategic<br />Importance<br />Automate<br />Canned Reports + People<br />Low<br />Low<br />High<br />Decision Frequency<br />
    34. 34. 2. Experiment<br />
    35. 35. 3. Build a Layer or Two<br />Dashboard Application<br />Application User Interface<br />View<br />User Inputs<br />Web Browser<br />Feeds (Hash)Sentiment Analysis (Counts)<br />User Inputs (keyword)<br />Controller<br />Feeds (JSON)Sentiment Analysis (Counts)<br />User Inputs (keyword)<br />Application Library<br />Word Bank<br />Analytics<br />Facebook<br />Digg<br />Twitter<br />Blogs<br /> Test Words (Array)<br />HTTP Request<br />Feeds (JSON)<br />Blogs<br />Digg<br />Twitter<br />Facebook<br />Input/Response structure remains the same or each data source<br />
    36. 36. Summary<br />Decisions , not data<br />Push more data in-context<br />Triage your projects<br />Build a “layers” prototype<br />Image shared by vauvau via FLikr<br />
    37. 37. The Design of Design<br /> by Frederick Brooks<br />Change by Design<br /> by Tim Brown<br />Daemon<br /> by Daniel Suarez<br />
    38. 38. CIO Dashboard Blog<br />www.ciodashboard.com<br />cbcurran<br />chris.curran@diamondconsultants.com<br />

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