Post on 26-Jan-2015
description
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 @tantrieuf31Lead Engineer at eClick Log Analytics team at FPT Online
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
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
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
Trends of Now and the Future
● Mobile● Big Data● Analytics
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/
We are in the age of Internet Cloud and connected handheld devices
Why analytics for mobile development ?
Turn your data to actionable things ?
Measure UX using quantitative research ?
Mobile Apps => Backend APIs => Statistics => Find the Trends & Insights?
How could we see "user interest graph" in our user's database ?
● Social Graph => Keep the connection
● Interest Graph => Make new connection=> recommendation platformSource: http://en.wikipedia.org/wiki/Interest_graph
Source: http://gigaom.com/2012/10/02/it-pays-to-know-you-interest-graph-master-gravity-gets-10-6m/
Why do analytics for your business ?=> read these Behavioral Economics Books
http://www.goodreads.com/shelf/show/behavioral-economics
Core KPIs for Mobile Data Analytics
Web vs Mobile AppWeb
Visitors
Visits
Pageviews
Events
Mobile AppUsers
Sessions
Events
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
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
Big Data on Small Devices: Data Science goes Mobilehttp://strataconf.com/strata2013/public/schedule/detail/27605
Keep it simple: Just log them all !
How to implement, case study and demo
And your databases could be overloaded ?
We can't solve problems by using the same kind of thinking we used when we created them.Albert Einstein
“lambda architecture” proposed by @nathanmarz
We, at FPT Online, have applied this architecture for 6 months
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
Too theory. I want "Seeing is believing"
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 analyticsContext: ● PhongCachMobile - Smartphone Retail Store
https://play.google.com/store/apps/details?id=com.mc2ads.browser4x
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.
Data Collector
Social Data Integration
Social Data Integration
LessonsWhat I have learned from Mobile World and Big Data World
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"
Stay focused, keep innovating
“Logic will get you from A to Z;
imagination will get you
everywhere.” - Albert Einstein
Use your imagination with data analytics, not just logic
See you at Barcamp Saigon
Date and time6 July, 2013 - 08:00 to 7 July, 2013 - 17:00LocationRMIT Saigon SouthAddress702 Nguyen Van Linh Boulevard, District 7, Ho Chi Minh City