Data analytic for mobile app development
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This document discusses using data analytics for mobile app development. It recommends analyzing user behavior and interests through metrics like users, sessions, and events to improve the user experience and inform business decisions. The document provides an example of a mobile advertising app that tracked user taps and social sharing to generate analytics and integrate with Facebook data. It advocates keeping analytics implementations simple while designing architectures that can handle large volumes of data.
Data analytic for mobile app development
- 1. Data Analytics for Mobile App Development ● Turn your mobile data into real products ● Discover user interests in real-time way Trieu Nguyen - http://nguyentantrieu.info/blog or @tantrieuf31 Lead Engineer at eClick Log Analytics team at FPT Online
- 2. If you like Big Data Analytic Intern Jobs, submit your CV to me: trieunt@fpt.com.vn http://www.fptonline.net/Career/99/Default.aspx
- 3. Just little introduction ● 2007 I did my first Graph Analytics on Yahoo 360 friend' blogs (use Web Crawler) ● 2008 Java Developer, develop Social Trading Network for a startup (Yopco) ● 2011 Join FPT Online, just develop social network again, API for VnExpress Mobile App ● 2012 Join Greengar Studios to learn more about mobile ● 2013 back to FPT Online, research about Data Analytics, develop the Analytics Platform
- 4. Contents for this talk ● Trends of Now and the Future ● Why analytics for mobile development ● Core KPIs ● How to implement, case study and demo ● Lessons ● Questions & Answers
- 5. Trends of Now and the Future ● Mobile ● Big Data ● Analytics
- 6. In 2013, mobile devices will pass PCs to be most common Web access tools. By 2015, over 80% of handsets in mature markets will be smart phones. Source:http://www.forbes.com/sites/ericsavitz/2012/10/23/gartner-top-10-strategic- technology-trends-for-2013/
- 8. We are in the age of Internet Cloud and connected handheld devices
- 10. Why analytics for mobile development ?
- 11. Turn your data to actionable things ?
- 12. Measure UX using quantitative research ?
- 13. Mobile Apps => Backend APIs => Statistics => Find the Trends & Insights?
- 15. How could we see "user interest graph" in our user's database ?
- 16. ● Social Graph => Keep the connection ● Interest Graph => Make new connection => recommendation platform Source: http://en.wikipedia.org/wiki/Interest_graph
- 19. Why do analytics for your business ? => read these Behavioral Economics Books http://www.goodreads.com/shelf/show/behavioral-economics
- 20. Core KPIs for Mobile Data Analytics
- 21. Web vs Mobile App Web Visitors Visits Pageviews Events Mobile App Users Sessions Events
- 22. How we build KPIs for mobile analytics ? ● Keep it simple as possible, but no simpler ● Identity => Tracking => Data Mashup (Social API) ● Leverage the "small" data in real-time
- 23. Metrics: Causes and Effects ● Screen Size => App Design, UI/UX, Usability ● App version => Deployment, Marketing ● Connectivity => Code, User Experience ● Location => Marketing, User Behaviour ● OS => Marketing, Cost, Development ● Memory => User Experience ● Feature Session => How to engage app users
- 24. Big Data on Small Devices: Data Science goes Mobile http://strataconf.com/strata2013/public/schedule/detail/27605
- 25. Keep it simple: Just log them all ! How to implement, case study and demo
- 26. And your databases could be overloaded ?
- 28. We can't solve problems by using the same kind of thinking we used when we created them. Albert Einstein
- 30. “lambda architecture” proposed by @nathanmarz We, at FPT Online, have applied this architecture for 6 months
- 31. The “lambda architecture” technology stack ● Java, Groovy, Scala , ..blah ..blah ● Netty (http://netty.io) ● Kafka (http://kafka.apache.org) ● Storm (http://storm-project.net ) ● Redis ( http://redis.io ) ● Hadoop (Hive, HBase,...) ● Phoenix: A SQL skin over HBase ● D3 - http://d3js.org ● Graph Query DSL http://gremlin.tinkerpop.com
- 32. Too theory. I want "Seeing is believing"
- 33. Case Study (from my freelance project) Problem: ● Build the app to promote advertising information in real time way ● Measure everything ● Report useful information ● Mashup and data integration with Facebook API for social data analytics Context: ● PhongCachMobile - Smartphone Retail Store https://play.google.com/store/apps/details?id=com.mc2ads.browser4x
- 34. Simple architecture ● App <=> PHP API <=> JVM Data Analytics API ● User tap on an item, tracking it. ● User shares/likes an item with Facebook ID, tracking these events, crawling data using Graph API for Statistics.
- 37. Data Collector
- 42. Lessons What I have learned from Mobile World and Big Data World
- 43. What I have learned ● Keep it as simple as possible, but no simpler ! ● Choose right KPI, right questions => Profit ● Design an architecture for your data products ● Implement it! Just right tools for right jobs. ● Turn your data into the things everyone can "look & feel"
- 44. Stay focused, keep innovating
- 45. “Logic will get you from A to Z; imagination will get you everywhere.” - Albert Einstein Use your imaginationwith data analytics, not just logic
- 47. See you at Barcamp Saigon Date and time 6 July, 2013 - 08:00 to 7 July, 2013 - 17:00 Location RMIT Saigon South Address 702 Nguyen Van Linh Boulevard, District 7, Ho Chi Minh City