Anodot > Case Studies > Vimeo Uses Anodot to Tap Into User Experience and Optimize Internal Operations

Vimeo Uses Anodot to Tap Into User Experience and Optimize Internal Operations

Company Size

1,000+

Region

America

Country

United States

Product

Anodot
Vimeo Create

Tech Stack

Snowflake
Amplitude
Looker
Apache Airflow
Apache Kafka
BigQuery

Implementation Scale

Enterprise-wide Deployment

Impact Metrics

Cost Savings
Customer Satisfaction
Productivity Improvements

Technology Category

Analytics & Modeling - Predictive Analytics
Analytics & Modeling - Real Time Analytics

Applicable Industries

Telecommunications

Applicable Functions

Business Operation
Sales & Marketing

Use Cases

Predictive Maintenance
Real-Time Location System (RTLS)

Services

Data Science Services

About The Customer

Vimeo is the world’s leading professional video platform and community. With over 200 million members across more than 150 countries, the company helps anyone grow their business by making it easy to create and market high-quality, impactful videos. Vimeo is headquartered in New York City with offices around the world, and is an operating business of IAC. The company serves a wide variety of industries and believes that data is one of its most valuable assets. Vimeo has an extensive data warehouse and analytics infrastructure, including tools like Snowflake, Amplitude, Looker, Apache Airflow, Apache Kafka, BigQuery, and now, Anodot.

The Challenge

Vimeo, a leading professional video platform, was facing the challenge of identifying critical signals in their decade's worth of data that could be used to improve operations, monetize services, and advance the business. The company's existing rule-based monitoring system was not able to understand each KPI's context or dig deeper into its permutations to find hard-to-detect anomalies. The company's growth was a big factor in the decision to adopt Anodot to quickly identify anomalies and trends in the data. The existing monitoring and alerting tools were based on hard-coded thresholds that couldn't cope with Vimeo's hyper growth. The threshold approach wasn't scalable because the numbers changed all the time.

The Solution

Vimeo integrated Anodot into their analytics infrastructure to leverage product usage insights to give customers the tools they need. With the advantage of Anodot’s real-time anomaly detection, the company can monitor for changes in the system’s health metrics for quick alerts on performance issues that might affect customers. The data engineers on Vimeo’s team work with internal customers to help them set up their data feeds and define the alerts they want. The more stakeholders apply automatic anomaly detection to their key metrics, the more Vimeo can focus on the future of its business and waste less time investigating issues retroactively.

Operational Impact

Vimeo can monitor for changes in the system’s health metrics for quick alerts on performance issues that might affect customers.
The data engineers on Vimeo’s team work with internal customers to help them set up their data feeds and define the alerts they want.
The more stakeholders apply automatic anomaly detection to their key metrics, the more Vimeo can focus on the future of its business and waste less time investigating issues retroactively.

Quantitative Benefit