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We've built a unique data modeling language, connections to today's fastest analytical databases, and a service that you can deploy on any infrastructure, and explore on any device. Plus, we'll help you every step of the way.

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“What we developed enables organizations to do everything they'd want to do in one of their existing web analytics solutions, plus infinitely more types of analysis, completely customizable to any business.” Partnerships

Segment + Looker - Comprehensive Customer Analytics

When Segment decided to announce an offering that enabled any customer to collect, store, and access their customer and web analytics data through a hosted AWS Redshift connection we wanted to be part of it. It's an approach that gives customers an easy way to build their own analytics stack, reaping the benefits of a build-your-own approach without needing to have the technology expertise in house. With access to this data, organizations are now open to a whole new world of business intelligence and analytics platforms - especially Looker.

by Keenan Rice, VP of Alliances

Niel Blumenthal - 3 Tools I'll Be Using in 2015

Warby Parker is a data-driven company. In order to make the most informed decisions at the quickest pace, we need to get the right info into the hands of the right people as fast as possible. Looker is the tool that helps us do this.

from The Wall Street Journal

Lloyd Tabb - Hoarding Data

I feel like many times we are obsessed with the process of collecting Big Data. The value of Big Data, however, comes from pulling it, organizing it, and re-ordering it.

from Wired

8 Reasons to Launch Your Startup Outside of Silicon Valley

Silicon Alley, Silicon Beach, Silicon Prairie are just a few of the startup hubs looking to entice entrepreneurs away from the "Valley." And they have found success. Here are a few advantages of launching your startup outside Silicon Valley.

from Entrepreneur

How to Build Stable, Accessible Data Infrastructure at a Startup

Data is a core part of building Asana, and every team relies on it in their own way. How do you build one system to support all those diverse needs?

from Asana Engineering Blog