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Customer

Tripadvisor

Tripadvisor is a consumer discretionary organization based in the United States. Operating teams there use enterprise software to run customer, data, and internal processes.

All Tripadvisor customer value stories

Consumer Discretionary
United States

Cisco@Tripadvisor

Tripadvisor uses Cisco Meraki to serve sites and APIs from a global edge instead of a single origin under load.

Consumer Discretionary
United States

MongoDB@Tripadvisor

When feature pipelines outgrew homegrown tracking, Tripadvisor brought in MongoDB.

Consumer Discretionary
United States

Qlik@Tripadvisor

In the United States, Tripadvisor relies on Qlik for applied machine learning.

Consumer Discretionary
United States

Siemens Digital Industries Software@Tripadvisor

In the United States, Tripadvisor relies on Siemens Digital Industries Software for engineering design.

Consumer Discretionary
United States

Microsoft Azure@Tripadvisor

Shared Microsoft Fabric workspaces help Tripadvisor keep data platform operations honest across teams.

Consumer Discretionary
United States

Pega@Tripadvisor

Tripadvisor folded Pega Customer Service into back-office automation so operations analysts share one view of repetitive desktop work.

Consumer Discretionary
United States

GitLab@Tripadvisor

Tripadvisor asked for a cleaner operating picture of infrastructure as code. GitLab is what they run.

Consumer Discretionary
United States

OpenText@Tripadvisor

Specialists and new hires at Tripadvisor review institutional knowledge in OpenText Content Cloud rather than in personal files.

Consumer Discretionary
United States

PagerDuty@Tripadvisor

PagerDuty Operations Cloud became the place Tripadvisor uses to page the right people and keep a timeline of what changed.

Consumer Discretionary
United States

Stripe@Tripadvisor

Stripe Billing sits in the daily path at Tripadvisor, especially for finance and product.

Consumer Discretionary
United States

SAS@Tripadvisor

Consumer Discretionary teams at Tripadvisor treat SAS as the working layer for applied machine learning.

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