Rather than bridging data silos after they occur, Segment and Looker avoid them altogether. The joint solution provides a single user identity and consistent, granular customer data that Data Analysts need to create the advanced, customized metrics for driving decision making.
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Modern Product Data Workflows 6: Harness Your Product Data: Better Understanding User Behavior Across Channels and Devices
As a product leader, you are tasked with collecting and synthesizing your customer’s interactions with your product.The great news is that there are many tools used across your company which collect u
Join Keynote - Keenan Rice & Segment (Part 8)
Frank Bien, CEO of Looker - along with Amazon, Google and other data disrupters - discuss how innovators are deeply integrating analytics into every aspect of their businesses, from mobile to warehous
Analyzing Log Data with Spark and Looker
Machines are constantly generating data. Unlocking the value of log files has historically lived in the realm of batch processing. However, emerging technologies have dramatically reduced the latency
Creating a Single Source of Truth: Leverage all of your data with powerful analytics in days, not months.
With a centralized data store, the entire spectrum of analytics is at your fingertips. Using Looker & Segment, you can collect, store and analyze everything from click-stream and event data to transac
Event Level Data Analysis with Snowplow
Looker works with Snowplow Analytics to deliver an end-to-end solution for capturing, storing, and analyzing event-level data.
Snowplow on Looker
Companies use Snowplow Analytics to collect event data from platforms such as websites, mobile apps, and server-side systems and to unify it in a centralized data pipeline. In this short video, Yali S
Snowplow and Looker