Dataiku Case Studies Marketing Efforts 360° View

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	Marketing Efforts 360° View Dataiku

Marketing Efforts 360° View

Dataiku

Technology Category	Analytics & Modeling - Real Time Analytics Analytics & Modeling - Big Data Analytics
Applicable Industries	Transportation
Applicable Functions	Sales & Marketing
Use Cases	Real-Time Location System (RTLS) Supply Chain Visibility
Services	Data Science Services
Challenge	Trainline, Europe’s leading independent train travel platform, was facing a challenge in monitoring and improving their marketing acquisition. With paid campaigns running 24/7 and users interacting with those ads around the clock, static dashboards were no longer sufficient. The company needed a dynamic, real-time data tool for accurate marketing insights. They had invested in many different services and solutions to sustain their growth, but these were not always easy to manage. The company decided to build a centralized, global, real-time dashboard to get a global understanding of their marketing acquisition. The challenge was to start a big data project from scratch, ensuring that the technical team ended up with a tool that allowed them to improve and upgrade their own skills while also satisfying the marketing department’s requests quickly and efficiently. Read More
About Customer	Trainline is Europe’s leading independent train travel platform and retailer of rail tickets. The company sells tickets worldwide on behalf of 48 train companies, helping their customers make more than 100,000 smarter journeys every single day in and across 24 countries. Trainline is a one-stop shop for train travel, bringing together all major train companies onto one platform and providing customers with a complete set of travel options. The company makes it easy for customers to find the best price and book their journey. Read More
Solution	To meet the unique challenges and needs of both the technical and marketing teams, Trainline turned to Dataiku Data Science Studio (DSS). This tool allowed them to save time by using Dataiku’s workflow development features to duplicate workflows across teams and across projects. It also enabled them to blend multiple data sources and create dedicated custom connectors to gather all data formats, thanks to Dataiku’s flexibility and coding features. Dataiku’s whitebox interface allowed them to instantly detect and solve data process hiccups without having to start the whole process again from the beginning. Furthermore, Dataiku’s collaborative features, web interface and click-and-drag options empowered teams to work together regardless of technical ability. Without Dataiku, the marketing team would have to rely on the technical team to continually provide or update data, which would be inefficient and ineffective for both teams. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Real Time Analytics

Analytics & Modeling - Big Data Analytics

Applicable Industries

Transportation

Applicable Functions

Sales & Marketing

Use Cases

Real-Time Location System (RTLS)

Supply Chain Visibility

Services

Data Science Services

Challenge

Trainline, Europe’s leading independent train travel platform, was facing a challenge in monitoring and improving their marketing acquisition. With paid campaigns running 24/7 and users interacting with those ads around the clock, static dashboards were no longer sufficient. The company needed a dynamic, real-time data tool for accurate marketing insights. They had invested in many different services and solutions to sustain their growth, but these were not always easy to manage. The company decided to build a centralized, global, real-time dashboard to get a global understanding of their marketing acquisition. The challenge was to start a big data project from scratch, ensuring that the technical team ended up with a tool that allowed them to improve and upgrade their own skills while also satisfying the marketing department’s requests quickly and efficiently.

About Customer

Trainline is Europe’s leading independent train travel platform and retailer of rail tickets. The company sells tickets worldwide on behalf of 48 train companies, helping their customers make more than 100,000 smarter journeys every single day in and across 24 countries. Trainline is a one-stop shop for train travel, bringing together all major train companies onto one platform and providing customers with a complete set of travel options. The company makes it easy for customers to find the best price and book their journey.

Solution

To meet the unique challenges and needs of both the technical and marketing teams, Trainline turned to Dataiku Data Science Studio (DSS). This tool allowed them to save time by using Dataiku’s workflow development features to duplicate workflows across teams and across projects. It also enabled them to blend multiple data sources and create dedicated custom connectors to gather all data formats, thanks to Dataiku’s flexibility and coding features. Dataiku’s whitebox interface allowed them to instantly detect and solve data process hiccups without having to start the whole process again from the beginning. Furthermore, Dataiku’s collaborative features, web interface and click-and-drag options empowered teams to work together regardless of technical ability. Without Dataiku, the marketing team would have to rely on the technical team to continually provide or update data, which would be inefficient and ineffective for both teams.

Impact #1	Trainline teams have been able to quickly improve their marketing dashboard and get a real-time view on marketing budget allocation.
Impact #2	Data processes construction time went from one month to one week.
Impact #3	Data engineers have multiplied their efficiency by three.

Impact #1

Trainline teams have been able to quickly improve their marketing dashboard and get a real-time view on marketing budget allocation.

Impact #2

Data processes construction time went from one month to one week.

Impact #3

Data engineers have multiplied their efficiency by three.

Benefit #1	Data processes construction time reduced by 75%.
Benefit #2	Data engineers' efficiency increased by 200%.
Benefit #3	Marketing teams can now access the outputs they need in a few minutes, significantly reducing the time spent on data retrieval and analysis.

Benefit #1

Data processes construction time reduced by 75%.

Benefit #2

Data engineers' efficiency increased by 200%.

Benefit #3

Marketing teams can now access the outputs they need in a few minutes, significantly reducing the time spent on data retrieval and analysis.

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Overview

Marketing Efforts 360° View

Operational Impact

Quantitative Benefit