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Big Data & Analytics Innovation Summit Nikolay Novozhilov, Wego.com Following the user – discovering the value of big data

Following the User – Discovering the Value of Big Data

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Page 1: Following the User – Discovering the Value of Big Data

Big Data & Analytics Innovation Summit

Nikolay Novozhilov, Wego.com

Following the user – discovering the value of big data

Page 2: Following the User – Discovering the Value of Big Data

About Wego

Wego compares hotel and airfares from hundreds of leading travel sites from all around the world on one simple screen

Wego was founded in 2005 in Singapore

Page 3: Following the User – Discovering the Value of Big Data

Everybody is building infrastructure for Big Data

… but where is the value?

“This is my Big Data!

How big is yours?”

Page 4: Following the User – Discovering the Value of Big Data

Common path: “Start with a problem!”

Page 5: Following the User – Discovering the Value of Big Data

The Problem

“Our ability to collect, store and process data is growing faster than our ability to ask good questions”

Page 6: Following the User – Discovering the Value of Big Data

Can we do any proactive analytics?

Page 7: Following the User – Discovering the Value of Big Data

User path seems like a good idea!

… but is it?

1. Landing page

2. Search results 3. Handoff

Page 8: Following the User – Discovering the Value of Big Data

Look for the most common paths… combinatorics kills you!

All revenue-generating users have unique paths

Popular and bad solution - reduce details

Bounced user

Page 9: Following the User – Discovering the Value of Big Data

Different approach: Look at individual user story

User path(way of

analytics)

User story(way of agile)

Page 10: Following the User – Discovering the Value of Big Data

How does it work in practice?

Relational tables with

events

Denormalized sparse

table

Natural language generation

Human-readable story

Page 11: Following the User – Discovering the Value of Big Data

Final “user story”

• Visitor from SA with tablet came in using organic search (google.com).

• Did a flight search from Jeddah to Paris from 2015-02-06 to 2015-02-23 for 1 adult

• Did a flight search from Jeddah to Dubai from 2015-02-06 to 2015-02-23 for 1 adult

• Did a flight search from Dubai to Paris from 2015-02-06 to 2015-02-23 for 1 adult

• Clicked on airtickets.com for 1378 USD

Page 12: Following the User – Discovering the Value of Big Data

How does it work? Lessons learned

You can include as many details as possible

User story allows to guess user’s motivation (can’t be simulated!)

Most users will walk away silently but some - will keep trying repeatedly and will show you the problem

But do stats later! Don’t rely on user stories for actions

Just random users will be a little boring. Look at active users/revenue generating/returning users.

Page 13: Following the User – Discovering the Value of Big Data

What I saw in my data?

Travel planning cycle and it’s length

Specific patterns like “leg” searches

Specific patterns for different countries/languages

Bugs in Data and in Product

Page 14: Following the User – Discovering the Value of Big Data

Technical details for geeks

Storage for events - Google BigQuery

Generating natural language – SQL query

Visualization – Google Spreadsheets

Page 15: Following the User – Discovering the Value of Big Data

This is just one tool in the tool box but often overlooked

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Contacts

Blog: www.novozhilov.co

Email: [email protected]