data exploration and analytics for the modern business
DESCRIPTION
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.TRANSCRIPT
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Data ExplorationAnalytics for the Modern
Business
Scott Hoover, Data Scientist at LookerMay 29, 2014
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Looker is a data exploration solution that operates in the database
to enable organizations to explore data in all its detail.
What Is Looker?
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Some of Looker’s Customers
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Greg JonesLead Developer at Smartling
Introducing…
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Data Exploration at Smartling
Greg Jones, Lead Engineer
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About Smartling
• Translation management platform -cloud based
• Simplify and accelerate the time to reach a global market
• Quickly translate websites, mobile apps, and documents
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• Collect content automatically via API or connector
• Facilitate professional, human translation
• Deliver the approved translations back to the same place
How It Works
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• Optional; further accelerates the translation process
• The fastest way to translate and deploy websites
• No internationalization/recoding required
Global Delivery Network
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• 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
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• 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
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• 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
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• 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?
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• 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
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• 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
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• 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
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• 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
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• 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
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• 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
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Thank you for your time,
and now back to Scott
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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.
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Looker Demo
Explore section — building queriesDashboards —visualizing queriesLookML and embedded SQL — lightweight development
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Q & A