Rachel Olund

Camp Counselor

Mary Bellisario

Camp Counselor

Making trusted data accessible for everyone

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Tuesday, July 26, 2022 - 3:30 PM UTC, for 1 hour.

Regular, 60 minute presentation

Room: F

modeling layer
data analytics
business intelligence

Have the following scenarios ever applied to you? - It’s hard to get access to data at your company - You want to know what underlying data makes up a report but it doesn’t go into the right level of detail - You want to make couple of additions to a report, but it takes days or weeks to achieve - You have access to data but your definition of a KPI differs from another person’s or department’s and no one knows the source of truth We will address two consistent problems in serving data to end users: (1) data bottlenecks and (2) data chaos. We’re going to provide an overview and live demonstration of Looker, which is an analytics and business intelligence platform with a developer-friendly architecture. It leverages LookML, short for Looker’s “modeling layer,” which puts SQL into reusable components. LookML allows you to define a metric once for wide use across the platform so that everyone is using the same definition. If that metric logic changes, developers can make the update in that first location and the change cascades to every other place where the metric is referenced. We will demonstrate how the modeling layer empowers business users to access trusted data to build their own dashboards, utilize self-service, and execute other types of data experiences like alerting, scheduling, and integrations with 3rd party applications. Some examples of these integrations include workflows with Salesforce, Marketo, Google Ads, Slack, Teams, and Twilio. You will walk away understanding both the technical and business values of LookML in addressing data bottlenecks and data chaos in an organization.

favorited by:
Tad Hadtrath Chris Rockwell Justin Weyenberg David Hartman Rachel Olund Phil Busch Bryan Larson Todd Sheetz Kelly Anderson Kenzie Johnson John Martin Robert Loesch Jamey Pietrowiak Spenser Austin Swadha Varshney Philip Nelson Edmund Greaves