Every day, your business generates enormous quantities of data. How can you unlock its value? How can you build self-service exploration experiences that empower frontline decision-makers? This webinar features Greg Jones from Smartling and Scott Hoover from Looker. Smartling is a powerful software platform for managing translation and localization of digital content. Looker is a data exploration platform that operates in the database. Together, Greg and Scott will introduce you to a modern approach to managing analytics in today’s fast-growing, web-centric business environments.

1. Data Exploration
Analytics for the Modern
Business
Scott Hoover, Data Scientist at Looker
May 29, 2014

2. Looker is a data exploration solution
that operates in the database
to enable organizations to explore data
in all its detail.
What Is Looker?

3. Some of Looker’s Customers

4. Greg Jones
Lead Developer at Smartling
Introducing…

5. Data Exploration at
Smartling
Greg Jones, Lead Engineer

6. About Smartling
• Translation management platform -
cloud based
• Simplify and accelerate the time to reach
a global market
• Quickly translate websites, mobile apps,
and documents

7. • Collect content
automatically via API or
connector
• Facilitate professional,
human translation
• Deliver the approved
translations back to the
same place
How It Works

8. • Optional; further
accelerates the
translation process
• The fastest way to
translate and deploy
websites
• No
internationalization/recod
ing required
Global Delivery
Network

9. • Visualize and analyze every aspect of the
translation workflow
• Segment data by customer, project,
language, and more
• Give business users control; drastically
reduce developer involvement
• Single View of Data
Business Needs

10. • Aggregate transactional data across 3
disparate MySQL instances
• Quickly process large volumes of data
-3B page views/mo; 84k metrics monitored
• Have a simple API to expose data and a
centralized view of it
Technical Needs

11. • Adopted Amazon Redshift as our high-
performance data warehouse
• Replicating all transactional data to Redshift
on a nightly basis
• Implemented Looker as our data exploration
platform
Solution

12. • Strong alignment with Smartling’s
development principles
• Easy to integrate, continuously being
improved, excellent support
• Ease of use: even our CTO built a report!
Why Looker?

13. • Analyze velocity through the translation
workflow; identify bottlenecks
• Monitor vendor SLAs and recoup money for
our customers when not met
• Show how our software is improving the
speed of translations
Results - Translation
Velocity

15. • Understand how customers grow once they
start using the product
• Analyze how well our software is providing
results
• Show how our software is reducing our
customers’ translation costs
Results - Leveraging
Translation Memory

17. • Words Translated = 2,807,127
• Cost (assuming no Matches) = $421,069
• Cost w/ Matches = $321,314
• Savings over 18 Months = $99,755
• Savings per Month = $5,541
Results - Leveraging
Translation Memory

18. • Identify at-risk customers based on login
frequency/translation activity
• Financial analysis
• Cut down development time for reporting
• One single view of the data
• Support business and technical planning
through a full set of KPIs
Results

19. • Utilized by Customer Support, Account
Managers, Sales Engineers, Product
Managers, Developers, CTO, CEO
• Interesting data findings included in
weekly release notes
• Integrating into Wallboard
Adoption

20. • Create even more views of our data
• Expose data to customers
• Allow customers to explore their data
• Use data to show the value of Smartling
Plan for the Future

21. Thank you for your time,
and now back to Scott

22. How Looker Works
Web application that connects to any relational
database management system.
Intermediate modeling layer (i.e.,LookML) that
abstracts and simplifies SQL generation.
LookML allows developers to manage:
— Relations between tables
— Introduction of intrinsic attributes
— Creation of custom metrics
User-friendly, web-based UI for exploring data.

23. Looker Demo
Explore section — building queries
Dashboards —visualizing queries
LookML and embedded SQL — lightweight
development

24. Q & A

25. More Questions?
scott@looker.com
gjones@smartling.com