Data Exploration and Analytics for the Modern Business

Data ExplorationAnalytics for the Modern

Business

Scott Hoover, Data Scientist at LookerMay 29, 2014

Looker is a data exploration solution that operates in the database

to enable organizations to explore data in all its detail.

What Is Looker?

Some of Looker’s Customers

Greg JonesLead Developer at Smartling

Introducing…

Data Exploration at Smartling

Greg Jones, Lead Engineer

About Smartling

• Translation management platform -cloud based

• Simplify and accelerate the time to reach a global market

• Quickly translate websites, mobile apps, and documents

• Collect content automatically via API or connector

• Facilitate professional, human translation

• Deliver the approved translations back to the same place

How It Works

• Optional; further accelerates the translation process

• The fastest way to translate and deploy websites

• No internationalization/recoding required

Global Delivery Network

• 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

• 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

• 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

• 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?

• 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

• 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

• 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

• 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

• 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

• 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

Thank you for your time,

and now back to Scott

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.

Looker Demo

Explore section — building queriesDashboards —visualizing queriesLookML and embedded SQL — lightweight development

Q & A

More Questions?

scott@looker.comgjones@smartling.com