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Maggie Jan Keynote
- 1. THE FUTURE OF HISTORY April 2017 DATA WITHIN REACH AUGUST 2017 @jandwiches
- 2. TYCHO BRAHE
- 7. APPLYING ANALYTICS TO YOUR PROJECT
- 8. Analytics is the discovery and communication of meaningful patterns in data.
- 10. ANALYTICS: ANOTHER VIEWPOINT What: Measurement of movement towards your business goals Purpose: To iterate to product and market fit before you run out of resources
- 11. WHAT IS A GOOD METRIC?Understandable If you’re busy explaining data, you’re not busy acting on it ex: rides requested Comparative Maintains context. ex: rides/day Meaningful Centers around your core business goals. ex: revenue
- 12. A good metric is behavior changing.
- 13. DATA-DRIVEN PRODUCT DESIGN COMPANY Juke Box Company INDUSTRY Internet of Things
- 14. ITERATIONS BUILD RELATIONSHIPS Good products provide customers with value Premium products provide high & dependable value Measured by: Return visits, Retention, Engagement
- 15. MISTAKES TO AVOID IN DATA-INFORMED DECISION MAKING
- 16. COMMON PITFALLS Confirmation Bias Leading the Witness Correlation vs Causation
- 18. Be disciplined in how you capture and analyze your data
- 19. CONTROLLED EXPERIMENTS Gut instinct = Hypothesis Design a Test/Make Changes in Production Measure the Results try again
- 20. Exploratory Tries to find unexpected insights Source of competitive advantage via insights no one knew Reporting Keeps you abreast of day- to-day operations Predictable and repeatable DATA INSIGHTS
- 21. Observatory qualities that make discoveries possible 1. field of view - historical perspective 2. precisice measurements 3. breadth and depth in your data model
- 22. EXPLORE
Editor's Notes
- The field of data science is something that is really inspiring to me. In fact I find it so inspiring that I have spent the past 5 years building a data company. Today I’m going to tell you a little about my work. I’m going to start by telling you the story that inspired me to do that. Data Analytics, Insights within Reach Design within reach My name is x I work at Keen. My talk is called x, and the field of data science is something that is really inspiring to me. In fact I find it so inspiring I have spent the last 3 years building a data company. I’m going to tell you about the story that inspired me to build a data platform.
- this is Tycho Brahe, a 16th century danish astronomer. he was famous for collecting an astounding amount of astronomical data. He custom-built his own observatory, custom-built his own instruments, and even made his own paper mill so he could manufacture enough data storage systems. every night, he’d go out into his observatory —>
- and write down the position and brightness of every star and every planet in the sky. and after 30 years of doing this —>
- he died. luckily…. the story doesn’t end there….
- luckily, he had an assistant named Johannes Kepler. Kepler took Brahe’s data and ran calculations over it for two more decades then, finally —>
- he devised the laws of planetary motion, which inspired the work of Newton and Einstein, and form the foundation of modern physics. according to NASA: “launched the scientific revolution” Because Brahe spent his entire life collecting all that data, Johannes Kepler is now cemented in history as a scientific genius. And that’s exactly what we do for our customers. We allow you to be the Johannes Keplers of your universes, your areas of expertise.
- As we build businesses, analytics can help. It’s an iterative process, you build product test, analyze, and gather data about it to measure and learn. This is where data comes in. Data science teams, ourselves included, you and I focus on this part so companies can focus on what they do best. Building killer product.
- As we look at analytics from a workplace perspective… analytics is also
- Avoid using analytics just to be using analytics.
- it can help you understand if you’re right or not about your product vision, the decisions you make. Like a good friend, therapist, or significant other, it can also tell you if you’re delusional or not.
- humility, cannot determine end state of your product have a healthy skepticism, even if you have a gut feel, the end state is still unknown
- opportunity for positive customer relationships in your product great experiences, are great product experiences —> shake shack, for me chicken and rice, DISNEYLAND costs a fortune, but why? very valuable, but how do you measure this value
- I have a gut feeling and I am convinced. Only look at data to prove my own point. I think everyone can admit that they can do this. As you are developing your analytics questions or your user surveys, you can lead someone along and get false data. Making the mistake at the time of analysis that correlation is causation. Just because you have two variables x and y, that does not mean x causes y or y causes x.
- Going back to the scientific method. Only change on thing at a time. Don’t change five things at at time. You will miss some things and have confounding factors.
- What enables you to make a great discover. An observatory has a broad view of all of your sources, it collects these data points. It takes precise measurements, and captures very rich details. Data points are taken at regular intervals and include timestamps. These qualities also apply to a modern digital observatory. Here’s how we thought about them when we built Keen. I’ll show you what I mean by a wide field of view and a broad data model. Access to all this data The data that we collect now will be the foundation for future discoveries. The statement "you have the power” - and “it’s easier than ever before.” have never been so true. We have places for understanding data, the capabilities, research, and learning. That’s why you’re here at this conference to learn how from experts and make those discoveries. So it’s possible and easier than ever to collect and analyze data.
- he devised the laws of planetary motion, which inspired the work of Newton and Einstein, and form the foundation of modern physics. according to NASA: “launched the scientific revolution”
- That’s it! You can contact me! Let me know what you thought of the talk!