Drinking from the Digital Data Fire Hose

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Digital change expert Dr. Gigi Johnson, Executive Director of the Maremel Institute, will share on April 17, 2014, this webinar with the US Department of Housing and Urban Development's OCIO Learning Sessions online. She will discuss five (5) steps to both grow and simplify how we can use abundant data to make better daily and strategic decisions. She will address questions such as: How can I use the data that I can get now at a reasonable price with reasonable use of time to help my work thrive? How can I find ways to SAVE time and energy around data? How can I have the right data when I need it for decisions? and Can I create systems and structures to make this daunting task a little simpler? These slides share the content planned for this event. More information can be found at http://portal.hud.gov/hudportal/HUD?src=/press/multimedia/videos.

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  • Welcome
  • We are working on a spectrum of abilitiesData architects and web-based advertising systems are growing data ecosystemsThe Average person is further back on the spectrum
  • This introductory-level session is for team leaders who want a healthy sampling of tools and techniques. The webinar will conclude with suggestions on further areas to develop your skills and find additional solutions.
  • We live in an era of a growing data tsunami.Consumer web applications are throwing data off like dandruff. “Big data” and “The Internet of Things” are being thrown around as buzzwords in strategic planning and IT spending.  90% of data supposedly has been created in the past two years.
  • Data-driven decisions and consumptionMobile: Here/now – 80% of emails, 40-60% of social media engagementSemantic Web: Digest it for youReal-Time Search: Each TweetMassive infrastructure challenges with data systems, algorithmsMassive need for “onramps” for your average businessContext + Social + Ad streams drive new Consumer Data and Insights Rise of the attention economy – bifurcation of immediate purchase data and the need to simplify digital livingAbility to track actual paths of influence and just-in-time data
  • Big Companies = Mixed BagTitles often Data Scientists or Data ArchitectsData Analytics Association — need to be “understood” or connect with line executives
  • Challenged-- strategic leaders in companies without a data team.MessyTakes timeTools changeIdentity driving choiceThat's too technical. I'm not a data person. That's not my job.Relationship with time.  Use time differently — alternate use of data timestealing our email time backbuilding a Pull lifeData vs. time in decision makingMatching time, decisions, and tools -- big data in your own world.Era of data abundance -- changing structures to support
  • What should we do?
  • Wrestle with uncertaintyDecision, alternative creation. Problem and opportunity identification.
  • Questions to Intel 10 years ago on our Digital Stuff
  • New Cow Paths of Behavior and Information
  • Email -- awkward, unspoken solution setGeorgetown Press -- emailDavid Pyott and his cc ruleTom Mendez and Dudley Mendenhall -- piles of papers upon request
  • Illusions of productivity software. Collaborative support tools. Creativity in groups white boards, colored pens. Past whiteboards with printers. Error rates, simplicity of use. Dan Shneiderman framework.
  • Drinking from the Digital Data Fire Hose

    1. 1. Drinking from the Digital Data Fire Hose WEBINAR US Dept. of Housing and Urban Development OCIO Learning Session Maremel Institute Dr. Gigi Johnson April 2014
    2. 2. … as I’ve said many times the future is already here William Gibson, 1999, NPR — it’s just not very evenly distributed. 2
    3. 3. This Webinar In this introductory-level session, we will share: Strategies and tools for creating a proactive “pull” of the right abundant data for decisions coming up the road Ways to save you an hour a week in how your team may be using data now Insights into social media as a business intelligence tool for listening, not just “marketing” Ways to spy a bit on your competitors’ actions and plans 3
    4. 4. We face a tsunami of data Abundant Data 4
    5. 5. Consumers and Competitors Decide Everywhere and Are Throwing Off Data 5
    6. 6. Big Data: Big Business But Not Today’s Discussion 6 Despite free/cheap tools, smaller businesses often do not use Internet customers or external market research data to make strategic or marketing decisions.
    7. 7. Pain Points 7 Noise Abundance Time
    8. 8. Our Core Discussion How will better use of data improve the Key Performance Metrics of my firm or in my job? What is my Data Strategy? • Understanding opportunity cost in time • Dealing with uncertainty • Make better decisions 8
    9. 9. 5 steps to both grow and simplify 1. Strategize 2. Create Simple Systems 3. Listen 4. Visualize 5. Share (Smart) 9
    10. 10. 1. STRATEGIZE How we can use this abundant data to make better daily and strategic decisions? 10
    11. 11. W’s: Who, What, Where, When, Why, and How? • What do I need to know? • What is available out there already? • How much money and time will this cost? • What is available for free or cheap? – Will that service go away because it doesn’t have a robust business model? – Is it free or cheap because they share rights to my information? 11
    12. 12. Consideration Sets – Data Affecting Choice “I found this cool product at the convention, and the salesperson said…” • Anchors — first ideas or data lock in the process and create bias • Art of the Possible — how broad of a range of options? 12
    13. 13. ―Just In Time‖ Search — Not Neutral • Keywords/Taxonomies/ Domain Phrases — words we use • Affected by location, mode (e.g., mobile), past searches • Nature of Google (67% of US Searches): Inbound links, not public popularity, and Google’s PageRank index • Search & Social drives Ads: re-targeting and augmentation 13
    14. 14. “Just in Time” vs. Queues Todd Henry “The Accidental Creative” Setting up queues for future decisions • Filter • Discovery 14
    15. 15. 2. CREATE SIMPLE SYSTEMS How can we use tools and design systems to use data for decision-making and business growth? 15
    16. 16. The Words We Use and Plan Around Matter • “Keywords" – Google Keyword Planner -- challenge of Google Analytics and keywords – Alexa -- keywords • Our own “taxonomy” – How do we search, gather, and re-find information for our work domain/field? – What words are important to other people, esp. current and potential customers? 16
    17. 17. 17 https://adwords.google.com
    18. 18. 18
    19. 19. 19 https://www.alexa.com
    20. 20. 20
    21. 21. 21
    22. 22. Other Starting Tools • Google Analytics • Web Traffic – Alexa – Compete – Quantcast 22
    23. 23. 23 https://www.google.com/analytics
    24. 24. 24
    25. 25. 25
    26. 26. 26 https://siteanalytics.compete.com
    27. 27. 27https://www.quantcast.com
    28. 28. Twitter ―Scraping‖ – Following Competitors and Experts • SocialBro, Tweetdeck, Hootsuite, + MANY More 28 http://www.socialbro.com
    29. 29. 29 http://tweetdeck.twitter. com
    30. 30. Industry Specific: Growing • Next Big Sound • Bookigee 30
    31. 31. Storage and Replay: Social Bookmarking & Dashboards • What to DO with the darned information once we have it — for ourselves and for our working teams • Examples: – Diigo in Social Bookmarking – NetVibes in Dashboards for teams 31
    32. 32. 32 http://www.diigo.com
    33. 33. 33
    34. 34. 34 http://www.netvibes.com
    35. 35. Easy to Track Website Changes and Blog Updates 35
    36. 36. Storage and Rediscovery 36 Hard Drive — cost in time and resources, rediscovery, privacy • Tendency: Folders on hard drives, with uncertain names • Tagging: Taxonomy of stuff • Hard Drive or Cloud? Sharing Ideas • Evernote (Your 100 year memory) • Dropbox (consumer), Box.net (end products with clients) • Google Drive • Dropbox -- challenge - notifications • Shoulder-tapping systems in a busy world
    37. 37. Continuing Challenges in Data Finding, Storage, and Rediscovery • How do others think? • Retention Policies — when do we ditch it? How stale? • Who owns this? • How do I remember to come back to changed data? Does this still need to tap my email? 37
    38. 38. Opportunity in New Combinations • Reorganization — going through old folders • Forced Adjacency — putting ideas together that normally don’t mix 38
    39. 39. Become ―Net Smart‖ 39 Net Smart Now in Paperback: http://www.amazon.com/Net-Smart-How-Thrive-Online/dp/0262526131 Peeragogy.org 2.0 Handbook: PDF at http://peeragogy.net/peeragogy-2.0-print.pdf Peeragogy.org Collaborative Handbook
    40. 40. 3. LISTEN How can we use data from inside and out that is already around us? 40
    41. 41. Business Intelligence Through Social Media • Skimming from social discourse • Skimming through social sentiment • Real-time analysis • Connecting databases of purchasable consumer data with your own customer data 41
    42. 42. Challenges with Aggregated Data • Who are you? Multiple devices or browsers • Who are you? 5 users on Netflix, etc. 42 Source: By Jeremy Keith (Flickr: Cuddling with multiple devices) [CC-BY-2.0 (http://creativecommons.org/licenses/by/2.0)], via Wikimedia Commons
    43. 43. Data – Presence and Connecting as Content and Data • Social Networking as content – Twitter, Facebook, Tumblr, FourSquare, Reddit– what are you doing and what do you like?…with data • Ecosystems around ecosystems: Twitter and FB application developers – Diigo, StumbleUpon, Pinterist, Tumblr, Instagram, Vine, SnapChat – what are you looking at? – Spotify, YouTube, and Pandora –what are you listening to?
    44. 44. Business Intelligence through Listening • Basic and Easy: Job Postings by Competitors • Scraping Twitter feeds of competitors and industry pundits/reporters • Google Alerts – any keywords that you choose 44
    45. 45. 4. VISUALIZE How can we use visuals to make and persuade around decision and data? 45
    46. 46. Visualization: Decision Framing with Complex Data Two goals: 1. Use visuals to made decisions with data 2. Use visuals to convince others in organizations to make similar or better decisions 46
    47. 47. One Example: Gapminder 47 http://www.gapminder.org
    48. 48. Concept Mapping – data visualization 48 http://en.wikipedia.org/wiki/List_of_mind_mapping_software http://maremel.com/2011/12/infographic- tools-galore/ -- Detailed resources
    49. 49. Data Visualization • Visual.ly – Platform to create new infographics • Piktochart – Transforms your information into memorable presentations. • Infogr.am - Create interactive charts and infographics. • Gephi – Like Photoshop for data. Graph visualization and manipulation software. • Tableau Public - Free data visualization software. • Free Vector Infographic Kit – Vector infographic elements from MediaLoot. • Weave – Web-based analysis and visualization environment. • iCharts – Charts made easy. • ChartsBin – A web-based data visualization tool. • GeoCommons – See your data on a map. • VIDI – A suite of powerful Drupal visualization modules. • Prefuse – Information visualization software. • StatSilk – Desktop and online software for mapping and visualization. • Gliffy – Online diagram and flowchart software. • Hohli – Online charts builder. • Many Eyes – Lets you upload data and create visualizations. • Google Chart Tools – Display live data on your site. Infographics for Decisions 49
    50. 50. 5. SHARE (SMART) How can we work with teams and partners to best use collaborative data and tools? 50
    51. 51. Current Knowledge Patterns • Common: email, print to share, cloud or hard drive folders – Weak choice to filter, find, and discover – Demographic differences – “Zero” cost – high social costs for others, social obligations How do you discover, filter, and store business knowledge? 51
    52. 52. Knowledge Management for Collaborative Work • Modern Challenge: Distributive project management. – Salesforce as a $38 billion market cap business • Assumptions and unspoken routines • Difference by audience and type of work – E.g., creative tools at http://www.creativebloq.com/design/online- collaboration-tools-912855 52
    53. 53. We (vs Me) and Data • Collaboration Tools – More than just shared storage • Physically Distributed Teams: Dropping Avg. Sq. Foot/Employee: – 225 in 2010 to 176 in 2012 and 150 in 2013 (CoreNet, 2013) – 195 in 2012, down from 250 “Gold Standard” (Norm Miller, UCSD)
    54. 54. More Obvious Tools: Sync and Share 54
    55. 55. 55 https://www.loomio.org
    56. 56. 56 https://podio.com
    57. 57. Just a Step in the Digital River Firehose • This is just a starting step down an interesting path . . . How do we balance time, value, information, and behavior of others? • Resources change with greater speed . . . How do we keep tabs on what is possible and shift from what is outdated? 57
    58. 58. Questions? Opportunities? Gigi Johnson, EdD Maremel Institute gigi@maremel.com @maremel 58

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