Frank Bien Opening Keynote - Join 2016
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Frank Bien, CEO of Looker - along with Amazon, Google and other data disrupters - discuss how innovators are deeply integrating analytics into every aspect of their businesses, from mobile to warehouse to cloud. Frank shares Looker’s vision for the future of business intelligence and data analytics and reveal pivotal product and partnership updates.
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Frank Bien Opening Keynote - Join 2016
- 2. Jen Grant Chief Marketing Officer
- 3. Thanks to all our Sponsors
- 4. Why are we here?
- 5. Listen, Learn, and Get Inspired
- 6. Yes - there’s an app for that…
- 7. Shhhh….
- 8. We have a Snapchat filter!
- 9. #JOINData
- 10. Be Excellent To Each Other
- 12. +750 Customers
- 14. Major Partnerships this year AWS Google Cloud IBM Cloud Data Services Microsoft Azure Segment Snowflake
- 15. Forrester Breakout Vendor One of 2016’s most innovative companies
- 17. Overall Industry Leader in the Wisdom of Crowds Business Intelligence Report
- 18. #1 Most Implementable BI Tool Customer voted
- 19. Fun Data Facts
- 20. 3x Revenue Growth Year over year
- 21. $96M in Funding Kleiner Perkins joins Meritech, RedPoint, First Round, Sapphire
- 22. 102,563,395 Usage Minutes in 2016
- 23. Commits to LookML Repos 248,599
- 24. So what did we launch?
- 25. SLIDE NO. 25SLIDE NO. LookerBlocks Sept 2015
- 27. Support for Presto & Spark SQL Feb 2016
- 30. Powered By Looker June 2016
- 31. 3.40 • Hierarchical Drilling • Better BigQuery, Spark, Presto support 3.44 • Faster dashboards • Scheduler Admin Panel • Better chart axis • Automagic heatmaps 3.48 • Explore page refactor • Improved dashboard PDF • User specific connections 3.52 • Cleaner navigation • Redesigned visualization series • Updates to scheduling & PDFs 3.36 • Enhanced SQL Runner • Improved Dashboard UI • More Table Calcs 3.38 • Custom Styling for Embedded Dashboards • Beautiful tiny charts • Named value formats 3.46 • Dashboard text tiles • Single value enhancements • Table calc enhancements • Scheduled webhooks 3.50 • Custom Filters • Regional data for interactive maps • Updates to embedded events 3.54 • Improved Mobile UX • Access Controls • User Groups • Reversable x and y axis 3.56 • Looks as Documents • SSO embed groups • BigQuery Standard SQL JAN FEB MARCH APRIL MAY JUNE JULY AUG SEPT OCT BEYOND 2016
- 32. And finally…
- 33. Chats Every single one important 311,769
- 34. Come find your Chat Heroes!
- 35. Frank Bien Chief Executive Officer
- 36. Data Democracy?
- 41. Data Consumers are suffering
- 42. Data Breadlines
- 43. Data Chaos
- 46. To be the modern platform in a new data world delivering on the promise of data that drives your business
- 48. Welcome to the stage: Anita Lynch General Manager, AWS Elastic Map Reduce Rahul Pathak Head of Business Intelligence Analytics, Amazon PrimeNow
- 49. Welcome to the stage: Adam Denenberg CTO, iHeartRadio
- 50. What’s Next?
- 51. Our 3 big bets
- 52. • Databases would get faster Our 3 big bets
- 53. • Databases would get faster • SQL would be the lingua franca Our 3 big bets
- 54. • Databases would get faster • SQL would be the lingua franca • The data professional would be critical Our 3 big bets
- 56. Looker 4
- 57. Full-fledged IDE Simplified syntax Contextual help & suggestions A better analyst experience
- 58. Organize insights Find and make use of content Share and control access Content Discovery
- 59. 110% API Actions Webhooks Integrate data where you work Data Everywhere
- 60. And now for something completely different…
- 62. Looker Blocks Directory Faster Time to Value 50 Blocks 12 Full Data Applications
- 63. Keenan Rice VP of Alliances
- 64. Lots of opportunities Lots of challenges
- 65. Lots of opportunities Lots of challenges • More technology available than ever before • Myriad of data sources • New analytical challenges
- 66. Looker Blocks Directory Expand what’s possible with data
- 67. Key Advantages • Embrace the Ecosystem of Data People • Solve for the known to quickly get to the unknown • Find solutions for areas outside of your expertise
- 71. JOHN LEE, GLOBAL LEAD, BIG DATA GO-TO- MARKET GOOGLE CLOUD
- 72. • Go Big in Big Enterprise • Better and Faster Data Decisions for Customers • Embrace a Dynamic and Growing Data Ecosystem Google Cloud Focus
- 73. Blocks Available Today Google Analytics Premium Plus more Google Data Sources & Use Cases DoubleClick Campaign Analytics Gaming Analytics For BigQuery Coming Soon Looker + Google Cloud Blocks
- 79. CHRIS CHILD, VP OF PRODUCT SEGMENT
- 81. L O O KER EC O SYST EM
- 82. 100+ Official Partners 10+ different categories 5 different programs Over 80% of customers are leveraging a Partner technology today 1 in 3 customers finds a new partner via Looker Looker Partner Network
- 83. Technology Partners Consulting Partners Looker Partner Network
- 84. = MODERN CLOUD ANALYTICS Partner Highlight +
Notes de l'éditeur
- Call them on stage to handover socks
- Search ”Join Looker”
- Hashtag is…
- Hashtag is…
- Hashtag is…
- Code of Conduct
- Calculated on October 6th
- Calculated on October 6th
- Calculated on October 6th
- Calculated on October 6th
- Calculated on October 6th
- And that’s not all. We’re constantly improving the product.
- We answer questions like: How do I set up LDAP? Is there a pattern in LookML for cohort analysis? And even: Is a burrito a dumpling? Btw, the consensus was, no, a burrito is not a dumpling
- Nicole Margaret Zach Ian
- Welcome Lloyd, ben and all of us THANKS; Humbled First Conference
- Take a step back What’s happening in Data and Analytics Verge Deliver on the promise To understand Where we can go… where we’ve been
- First Wave Complete Systems Monolithic 100% correct Era of Oracle Neared the end of its life…
- A story Remember this? Decided bow it up… Invited TV and picnics
- Uncontrolled Pieces FLYING Whale was still there
- Kind of like how the 2nd wave We got pieces -Prep -Viz SQL and M/R Customers paid Whale still there
- Pain! We hear it all the time 1 of 2 problems; maybe both
- Users need REAL data Go to the data team There’s already a line… 3 of 100
- Tired of waiting Look for scraps Old, incorrect Total Active Users; LTV Leads to chaos and brawls >> Both Impediment to data decisions Less jefferson/hamilton; more facebook/twitter/cnn -- lots of opinions
- Meanwhile… something much bigger While they were evolving A Revolution underneath MPP; Hadoop; Spark; Cloud Redshift, BigQuery EVOLUTION/REVOLUTION
- So, here we are-3rd WAVE Dawn of something great Finally deliver on the promise Totally new architectures NOT like the monolithic GREATLY SIMPLIFY the data supply chain And unlock value BI - Non-BI - APIs
- And that’s what our mission is a Looker From the beginning we wanted to be Platform On new world of data To deliver on the promise of data culture And many of you are leading… already doing it
- Customer and Partner
- Wow, Awesome… THANKS to everyone who helped But what have you done for us lately? What’s next for Looker? Continue to build on the core bets… Hypothesis correct
- Three big bets when we started Proved to be good to build on And still true today
- DB Faster We didn’t build our own So much more to leverage here
- SQL Lingua Franca Hard bet, but paid off Extend it; Reusability
- Data People Key Data is hard and data people had the key But tools were disenfranchising data people Summary: We bet on DB Faster… We bet SQL Win… WE BET ON YOU
- We’ve been building on these concepts
- Proud to announce Huge undertaking of last 2 years Some of the largest enhancements since start With components directed at: Analyst, Consumers, Platform
- FOR THE ANALYTS Refresh of LookML and much more sophisticated IDE Work better / faster Easier to learn Easier to become and EXPERT Fixed the nits… Result is… a much better experience… empower the data analyst
- FOR THE DATA CONSUMERS Now that we’ve created these reliable metrics / single source We have to solve the problem we solved How to deal with all this content Not spreadsheet/workbooks… bigger Content Discovery… Single Biggest Organize, find, secure, make use of those assets
- TO EXTEND THE PLATFORM Lastly, deliver on Data Everywhere! This year, you saw Slack, PBL, Salesforce tab Completely unleash 110% functionality Move beyond and out of the BI tool
- And now for something completely different One of our top front-end developers Taking an idea and running with it Power of the platform
- Platform value; what you do with it Jen mentioned; blocks this year Excited to announce… Looker Blocks Directory 50 re-usable analytic templates 12 full data applications Complete ecosystem...
- -Expand what you can do with data on the Looker platform – things in technology have changed, and we want to show you how you can expand your usage & increase your effectiveness with data. **Sessionization would have been done ahead of time in the physical data, but now you can do that logically because the database can handle it and keep more of your logic in a single code base that’s easily changeable…these are the types of revelations our initial customers are having with Blocks. -Looker is a Data Platform, that means we can embrace the ecosystem. The Directory allows us to give our Partners & Community experts the ability to build, showcase, and distribute their best practices. -So many patterns, data sources, and use cases are repeatable. We’re using the Directory to offer templates to quickly take advantage of these so your teams can get to the data problems that haven’t yet been solved. -Every department is requesting data all day everyday. Your team may not know exactly how to solve everything. The Directory should serve the purpose of finding approaches and patterns that quickly guide you to a solution so no one goes unserved. Looker Blocks Directory is a key part of that ecoystem[11:04] That lets people go from 0-60 immediately[11:04] and expands their vision of what’s possible with Looker[11:05] Normally, you wouldn’t even consider doing sessionization in you data platform tool. You’d do that before the data was loaded with a specialized process. But with today’s database technology, you can do it right in your warehouse. We want people to know that and we want to show them how
- -Expand what you can do with data on the Looker platform – things in technology have changed, and we want to show you how you can expand your usage & increase your effectiveness with data. **Sessionization would have been done ahead of time in the physical data, but now you can do that logically because the database can handle it and keep more of your logic in a single code base that’s easily changeable…these are the types of revelations our initial customers are having with Blocks. -Looker is a Data Platform, that means we can embrace the ecosystem. The Directory allows us to give our Partners & Community experts the ability to build, showcase, and distribute their best practices. -So many patterns, data sources, and use cases are repeatable. We’re using the Directory to offer templates to quickly take advantage of these so your teams can get to the data problems that haven’t yet been solved. -Every department is requesting data all day everyday. Your team may not know exactly how to solve everything. The Directory should serve the purpose of finding approaches and patterns that quickly guide you to a solution so no one goes unserved. Looker Blocks Directory is a key part of that ecoystem[11:04] That lets people go from 0-60 immediately[11:04] and expands their vision of what’s possible with Looker[11:05] Normally, you wouldn’t even consider doing sessionization in you data platform tool. You’d do that before the data was loaded with a specialized process. But with today’s database technology, you can do it right in your warehouse. We want people to know that and we want to show them how
- AFTER GOING THROUGH CATEGORIES, WE’LL CLICK TO EXPAND / HIGHLIGHT THE CUSTOMER SUCCESS APP
- AFTER GOING THROUGH CATEGORIES, WE’LL CLICK TO EXPAND / HIGHLIGHT THE CUSTOMER SUCCESS APP
- We’re going to highlight a few of those Partners today. With that said, I’d like to welcome John Lee, Global Lead, Big Data Go to Market from Google Cloud.
- (Keenan) John, thanks for coming out to NYC! Why don’t you quickly introduce your role @ Google Cloud & what your areas of focus are. (John) Intro & Google Cloud focus areas (these are the areas you mentioned yesterday)
- (Keenan) Awesome, thanks John. So let’s get into the work we’ve been actively working on together. Excited to share our joint efforts in building Looker Blocks for Google Cloud customers! How’d this come about? (John) – Google has tons of the most widely used data sources in business & services customers across every industry vertical. Customers want outcomes. Story about making data more easily consumable for end users via GCP products. (Keenan) – Great! Available today in the Blocks Directory is Gaming Analytics for BigQuery & DoubleClick Campaign Analytics. Coming soon will be Google Analytics Premium & a few more secrets in development over the coming year.
- (Keenan) Let’s highlight one briefly – Google Gaming Analytics. John can you give us a little insight into the background for the development and how it’s gone so far? (John) Outcome based analytics / Experience so far – how this helps customers (Keenan) John, thanks for all of your support and we’re all excited to continue collaborating with the Google Cloud team in the future.
- AFTER GOING THROUGH CATEGORIES, WE’LL CLICK TO EXPAND / HIGHLIGHT THE CUSTOMER SUCCESS APP
- We’re going to highlight a few of those Partners today. With that said, I’d like to welcome John Lee, Global Lead, Big Data Go to Market from Google Cloud.
- Code of Conduct Full rundown of logistics