Harvard Business Review Webinar: The Visual Organization
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This document summarizes a webinar by Phil Simon on visualizing data and organizations. Simon is an author who writes about technology and consults on data visualization. In the webinar, he discusses how companies like Netflix are able to analyze large amounts of customer data to better understand viewing behaviors and improve recommendations. Simon advocates for making data easy to access, discover, and process for all users through visualization, and providing tools that encourage exploration and discovery of both small and large datasets.
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Harvard Business Review Webinar: The Visual Organization
- 1. HBR Webinar: The Visual Organization Phil Simon June 13, 2004 HBR Webinar @philsimon 1
- 2. HBR Webinar @philsi mon 2 • Award-winning author of six books, most recently The Visual Organization • Speaker, consultant, and technology expert • Huge Breaking Bad fan (more on that later) HBR Webinar @philsimon 2
- 4. HBR Webinar @philsi mon 4 • Roughly 48M customers • Nearly $26B market cap • Responsible for one-third of all US weeknight Internet traffic Data as of June 9, 2014 HBR Webinar @philsimon 4
- 5. HBR Webinar @philsi mon 5 • Single biggest AWS customer • 2012 Christmas day outage • In September of 2013, Netflix became the first non-TV network to win an Emmy for House of Cards HBR Webinar @philsimon 5
- 6. HBR Webinar @philsi mon 6 • Data should be accessible, easy to discover, and easy to process for everyone. Source: Netflix - tinyurl.com/tvo-netflix HBR Webinar @philsimon 6
- 7. HBR Webinar @philsi mon 7HBR Webinar @philsimon 7
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- 9. • Comedies • Dramas • Westerns • Documentaries Move Well Beyond Simple Genres HBR Webinar @philsimon 9
- 10. HBR Webinar @philsi mon 10 • Dark Suspenseful Sci-Fi Horror Movies • Gritty Suspenseful Revenge Westerns • Romantic Indian Crime Dramas • Evil Kid Horror Movies • Visually-Striking Goofy Action & Adventure Films • Violent Suspenseful Action & Adventure Films from the 1980s Source: The Hollywood Reporter HBR Webinar @philsimon 10
- 11. HBR Webinar @philsi mon 11 • The longer you take to find the data, the less valuable it becomes. HBR Webinar @philsimon 11
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- 13. HBR Webinar @philsi mon 13 50,000 Netflix subscribers watched all 13 episodes of Season 4 of Breaking Bad the day before Season 5 premiered. Source: The Hollywood Reporter HBR Webinar @philsimon 13
- 14. HBR Webinar @philsi mon 14 • Whether a dataset is large or small, being able to visualize it makes it easier to explain. HBR Webinar @philsimon 14
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- 19. HBR Webinar @philsi mon 19 • What they watch • When they watch • The device on which they’re watching • When they pause and/or resume watching HBR Webinar @philsimon 19
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- 22. HBR Webinar @philsi mon 22 • Eschew “set it and forget it” • Encourage data exploration and discovery • Recognize the limitations of reporting stalwarts • Buy and build new tools as necessary
- 23. HBR Webinar @philsi mon 23 • We must visualize all of the data • Only visualize good data • Visualization will always manifest the right action or decision • Visualization will lead to certainty
- 25. HBR Webinar @philsi mon 25 • Look outside of the enterprise • Don’t forget the metadata • Visualize both small and big data • Walk before you run…at least for now
- 26. HBR Webinar @philsi mon 26 • UX: participation matters • Experimentation is paramount • Walk before you run…at least for now • Avoid the “quarterly visualization mentality”
- 27. HBR Webinar @philsi mon 27 • Transparency is becoming increasingly important • All data is not required to begin • Encourage interactivity • Iterate
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- 29. HBR Webinar @philsi mon 29 www.philsimon.com @philsimon HBR Webinar @philsimon 29
- 30. HBR Webinar @philsi mon 30HBR Webinar @philsimon 30
Editor's Notes
- 3 bullets on who I am.
- Ask: Who’s this guy? GIVE COPY OF Too Big to Ignore OUT TO FIRST ONE. Reed Hastings, co-founder and CEO, Netflix Amazon, Apple, Facebook, and Google all do Big Data really well, but perhaps there’s no bigger Big-Data company than Netflix.
- 3 bullets - 3rd – this is why Net Neutrality is such a big deal Net neutrality (also network neutrality or Internet neutrality) is the principle that Internet service providers and governments should treat all data on the Internet equally, not discriminating or charging differentially by user, content, site, platform, application, type of attached equipment, and modes of communication. The term was coined by Columbia media law professor Tim Wu
- 2 bullets, one sub even bigger than Amazon itself! – this is both a good and a bad thing. Mention outage Netflix is engendering cord-cutting and changing the rules in Hollywood. Orange is the New Black Transition This begs the obvious question
- Talk about the need for transparency, data discovery, and data democracy. Netflix tracks each customer selection, pause, exit. But forget staying within the enterprise. Netflix purchases an extensive amount of third-party data and metadata from firms like Nielsen, a leading global information and measurement company, provides market research, insights & data about what people watch & what people buy.
- Talk about Kurzweil
- AND NETFLIX PAYS PEOPLE TO WATCH MOVIES! As a result, it can go well beyond general categorizations:
- Source: The Atlantic
- Never before has it been so important to act quickly, but how many organizations possess the right tools to act immediately? And a culture that embraces data to this extent? Because of the extent to which it relies upon data to make business decisions, Netflix knows more on its customers than just about any out there. The Netflix culture encourages and values curiosity. ***2nd bullet For instance….
- Who’s this?
- And not just BB. Netflix tracks stats like this. Ted Sarandos – chief content officer interview… For instance, only 8,000 of its customers signed up for House of Cards, watched all 13 episodes of season one, and then terminated their subscriptions.
- And it’s this part that I want to focus on. KEVIN SPACEY NEXT
- 1 click Quick quiz: name the actor and the movie. Go. Spacey’s current project is House of Cards. Netflix spent $100M on the first season without even seeing so much as a pilot. That’s right. 13 episodes. Isn’t that crazy? Not really… when you consider that Netflix possesses the data to justify such a gaudy expenditure.
- Here’s the featured image for the show. Interesting, right? Spacey looks very authoritative. But the cover of House of Cards looks quite a bit like MacBeth with Patrick Stewart. But how similar? Funny you should ask.
- So what? Maybe (point at audience member) you like comedies with orange imagery? You like (point another) you like dramas with black covers? Maybe none of this applies to (point to audience member #3). THE POINT IS THAT NETFLIX CAN MAKE THESE CUSTOMER-SPECIFIC DETERMINATIONS.
- And NETFLIX IS NOT ALONE In the book I cover Autodesk
- 3 bullets Shows employee exits, transfers, and hires over four year period.
- You will have to use the mouse here to play the video. TRANSITION - The concepts in The Visual Organization aren’t only for large organizations.
- 4 bullets Tell story of NJ utility company Access dB You don’t know what you’re looking for…. Dashboards, KPIs, and standard reports can only do so much. Orgorgchart and netflix examples
- Open data, social data, etc. – Netflix buys 3rd party data and metadata Describe PRISM abortion example Not just unstructured data You don’t go from zero to Google or Netflix or Amazon overnight
- Describe evolution of OrgOrgChart data visualization tools are often not linear projects You don’t go from zero to Netflix or zero to Google overnight Self-explanatory
- University of Texas Myth You want employees to ask questions of their data The world changes; it’s unlikely that “one” major tool will answer every question equally well.