Fivetran Case Studies Condé Nast's Journey Mapping with Fivetran: A Case Study

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	Condé Nast's Journey Mapping with Fivetran: A Case Study Fivetran

Condé Nast's Journey Mapping with Fivetran: A Case Study

Fivetran

Technology Category	Platform as a Service (PaaS) - Application Development Platforms Robots - Parallel Robots
Applicable Industries	Buildings Consumer Goods
Applicable Functions	Sales & Marketing
Use Cases	Behavior & Emotion Tracking Livestock Monitoring
Services	System Integration
Challenge	Condé Nast, a global media leader with 37 brands reaching millions of consumers, was faced with the challenge of managing and monetizing trillions of data points generated from its digital assets. The company lacked a central mechanism for managing and maintaining data integration sources, making data not readily available to consumers downstream. The demand to integrate more sources globally continued to grow, and pulling data into the data lake with custom scripts was cost prohibitive. Each marketing technology platform had its own API, data structure and other properties that required its own custom script. Creating the connectors on the fly and managing them on an ongoing basis wasn’t scalable, posing a significant challenge to the company. Read More
About Customer	Condé Nast is a global media leader with titles such as Vogue, GQ, The New Yorker, Vanity Fair, Wired, Architectural Digest (AD), and Bon Appétit. The company's 37 brands reach 72 million consumers in print, 442 million in digital, and 452 million across social platforms. Hundreds of millions of people around the world consume Condé Nast’s content across the company’s digital assets, generating trillions of data points and potential insights into their wants and needs. The company aims to deliver powerful, personalized and relevant experiences that inform and delight, while opening up new, sustainable revenue streams. Read More
Solution	To address this challenge, Condé Nast implemented Fivetran’s data integration solution. This solution was chosen for its intuitive controls, vast connector library and white-glove service. Fivetran automatically pulls data from dozens of scattered sources into Delta Lake, where it’s transformed and segmented into three layers – Gold, Silver and Bronze – for analysis in Qlik, Mode, and Databricks SQLA. This segmentation allows the team to maintain changes from the source via Fivetran and what they expose to the business. When a new source needs connecting, the team simply enters credentials in the Fivetran dashboard, and the data starts to flow. This solution has allowed Condé Nast to automate the data migration from first-, second- and third- party sources into the company’s lakehouse, Delta Lake on Databricks. Read More Log in to view content
Contents

Technology Category

Platform as a Service (PaaS) - Application Development Platforms

Robots - Parallel Robots

Applicable Industries

Buildings

Consumer Goods

Applicable Functions

Sales & Marketing

Use Cases

Behavior & Emotion Tracking

Livestock Monitoring

Services

System Integration

Challenge

Condé Nast, a global media leader with 37 brands reaching millions of consumers, was faced with the challenge of managing and monetizing trillions of data points generated from its digital assets. The company lacked a central mechanism for managing and maintaining data integration sources, making data not readily available to consumers downstream. The demand to integrate more sources globally continued to grow, and pulling data into the data lake with custom scripts was cost prohibitive. Each marketing technology platform had its own API, data structure and other properties that required its own custom script. Creating the connectors on the fly and managing them on an ongoing basis wasn’t scalable, posing a significant challenge to the company.

About Customer

Condé Nast is a global media leader with titles such as Vogue, GQ, The New Yorker, Vanity Fair, Wired, Architectural Digest (AD), and Bon Appétit. The company's 37 brands reach 72 million consumers in print, 442 million in digital, and 452 million across social platforms. Hundreds of millions of people around the world consume Condé Nast’s content across the company’s digital assets, generating trillions of data points and potential insights into their wants and needs. The company aims to deliver powerful, personalized and relevant experiences that inform and delight, while opening up new, sustainable revenue streams.

Solution

To address this challenge, Condé Nast implemented Fivetran’s data integration solution. This solution was chosen for its intuitive controls, vast connector library and white-glove service. Fivetran automatically pulls data from dozens of scattered sources into Delta Lake, where it’s transformed and segmented into three layers – Gold, Silver and Bronze – for analysis in Qlik, Mode, and Databricks SQLA. This segmentation allows the team to maintain changes from the source via Fivetran and what they expose to the business. When a new source needs connecting, the team simply enters credentials in the Fivetran dashboard, and the data starts to flow. This solution has allowed Condé Nast to automate the data migration from first-, second- and third- party sources into the company’s lakehouse, Delta Lake on Databricks.

Impact #1	The implementation of Fivetran has allowed Condé Nast to deliver holistic, personalized experiences based on previous digital interactions. This has extended a brand’s reach, even when the customer isn’t interacting on one of the company’s owned assets, and it allows marketers to maximize the impact of their paid media spend. Through the deeper and quicker insights developed from this data, Condé Nast is able to better understand what is working and improve customer experience. This has allowed Condé Nast to diversify its revenue streams, a crucial differentiator in today’s highly competitive media landscape. The company can now focus on other high-impact, revenue-generating projects rather than spending time building data connectors.

Impact #1

The implementation of Fivetran has allowed Condé Nast to deliver holistic, personalized experiences based on previous digital interactions. This has extended a brand’s reach, even when the customer isn’t interacting on one of the company’s owned assets, and it allows marketers to maximize the impact of their paid media spend. Through the deeper and quicker insights developed from this data, Condé Nast is able to better understand what is working and improve customer experience. This has allowed Condé Nast to diversify its revenue streams, a crucial differentiator in today’s highly competitive media landscape. The company can now focus on other high-impact, revenue-generating projects rather than spending time building data connectors.

Benefit #1	Data from more than 20 sources is automatically ingested into the company’s Databricks Delta Lake.
Benefit #2	The need to build and manage customer connector scripts is eliminated, saving over a week of engineering resources per connector and continuous monitoring of custom scripts.
Benefit #3	Trillions of data points are now monetized through trusted audience segments.

Benefit #1

Data from more than 20 sources is automatically ingested into the company’s Databricks Delta Lake.

Benefit #2

The need to build and manage customer connector scripts is eliminated, saving over a week of engineering resources per connector and continuous monitoring of custom scripts.

Benefit #3

Trillions of data points are now monetized through trusted audience segments.

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Overview

Condé Nast's Journey Mapping with Fivetran: A Case Study

Operational Impact

Quantitative Benefit