Dataiku Case Studies Heetch + Dataiku: Developing an Elastic AI Strategy

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	Heetch + Dataiku: Developing an Elastic AI Strategy Dataiku

Heetch + Dataiku: Developing an Elastic AI Strategy

Dataiku

Technology Category	Infrastructure as a Service (IaaS) - Cloud Computing Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries	Transportation
Applicable Functions	Business Operation
Use Cases	Fleet Management Predictive Maintenance Supply Chain Visibility
Services	Cloud Planning, Design & Implementation Services Data Science Services
Challenge	Heetch, a French company founded in 2013, has grown quickly to 250 employees united around one goal: making mobility more accessible by offering a smooth user experience. The company has gathered troves of data from drivers, passengers, global operations, and more since its launch, yet they struggled to scale their ability to actually leverage that data. Five years in, data warehouse costs were spiraling out of control, and performance was suffering as the amount of data grew. The company needed to find a solution that would allow anyone across the organization to work with large amounts of data while also ensuring optimized resource allocation. Read More
About Customer	Heetch is a French company founded in 2013 with the goal of making mobility more accessible by offering a smooth user experience. The company has grown quickly to 250 employees and has gathered troves of data from drivers, passengers, global operations, and more since its launch. However, as the amount of data grew, the company struggled to scale their ability to leverage that data. Five years in, data warehouse costs were spiraling out of control, and performance was suffering. The company needed to find a solution that would allow anyone across the organization to work with large amounts of data while also ensuring optimized resource allocation. Read More
Solution	In 2019, Heetch chose Dataiku as their single platform for building data pipelines and processing raw data, paired with Looker for the seamless visualization and exploration of those flows. In addition to serving as a platform where Heetch could centralize knowledge and best practices, the team also leveraged Dataiku and Kubernetes to address their primary paint point: leveraging data while maintaining good performance and reasonable costs. Thanks to Dataiku’s native integration with major cloud vendors’ managed Kubernetes services, Heetch was able to integrate their AWS EKS cluster very quickly and saw a drastic increase in value from their data. Teams can now easily offload resource-intensive workloads, like big Python and R jobs, as well as leverage the EKS cluster to distribute compute and run Spark jobs. Using Dataiku means this functionality is available and accessible to any Heetch employee, no matter his or her knowledge in distributed computing — Dataiku abstracts away the complexity. Read More Log in to view content
Contents

Technology Category

Infrastructure as a Service (IaaS) - Cloud Computing

Platform as a Service (PaaS) - Data Management Platforms

Applicable Industries

Transportation

Applicable Functions

Business Operation

Use Cases

Fleet Management

Predictive Maintenance

Supply Chain Visibility

Services

Cloud Planning, Design & Implementation Services

Data Science Services

Challenge

Heetch, a French company founded in 2013, has grown quickly to 250 employees united around one goal: making mobility more accessible by offering a smooth user experience. The company has gathered troves of data from drivers, passengers, global operations, and more since its launch, yet they struggled to scale their ability to actually leverage that data. Five years in, data warehouse costs were spiraling out of control, and performance was suffering as the amount of data grew. The company needed to find a solution that would allow anyone across the organization to work with large amounts of data while also ensuring optimized resource allocation.

About Customer

Heetch is a French company founded in 2013 with the goal of making mobility more accessible by offering a smooth user experience. The company has grown quickly to 250 employees and has gathered troves of data from drivers, passengers, global operations, and more since its launch. However, as the amount of data grew, the company struggled to scale their ability to leverage that data. Five years in, data warehouse costs were spiraling out of control, and performance was suffering. The company needed to find a solution that would allow anyone across the organization to work with large amounts of data while also ensuring optimized resource allocation.

Solution

In 2019, Heetch chose Dataiku as their single platform for building data pipelines and processing raw data, paired with Looker for the seamless visualization and exploration of those flows. In addition to serving as a platform where Heetch could centralize knowledge and best practices, the team also leveraged Dataiku and Kubernetes to address their primary paint point: leveraging data while maintaining good performance and reasonable costs. Thanks to Dataiku’s native integration with major cloud vendors’ managed Kubernetes services, Heetch was able to integrate their AWS EKS cluster very quickly and saw a drastic increase in value from their data. Teams can now easily offload resource-intensive workloads, like big Python and R jobs, as well as leverage the EKS cluster to distribute compute and run Spark jobs. Using Dataiku means this functionality is available and accessible to any Heetch employee, no matter his or her knowledge in distributed computing — Dataiku abstracts away the complexity.

Impact #1	Since moving to Dataiku, Heetch saw both a decrease in frustration from the previous bottleneck caused by the data warehouse as well as a notably faster time to market for Heetch data projects coupled with a greater ROI thanks to cost control.
Impact #2	The team has launched hundreds of data projects with Dataiku, ranging from features stores and ETL projects to real-time fraud detection, churn prediction, route optimization, passenger/driver segmentation, pricing models, marketing attribution tracking, and more.
Impact #3	Dataiku has allowed Heetch not only to transform its ability to leverage elastic resources, but to uplevel its overall AI maturity.

Impact #1

Since moving to Dataiku, Heetch saw both a decrease in frustration from the previous bottleneck caused by the data warehouse as well as a notably faster time to market for Heetch data projects coupled with a greater ROI thanks to cost control.

Impact #2

The team has launched hundreds of data projects with Dataiku, ranging from features stores and ETL projects to real-time fraud detection, churn prediction, route optimization, passenger/driver segmentation, pricing models, marketing attribution tracking, and more.

Impact #3

Dataiku has allowed Heetch not only to transform its ability to leverage elastic resources, but to uplevel its overall AI maturity.

Benefit #1	Decrease in frustration from the previous bottleneck caused by the data warehouse.
Benefit #2	Notably faster time to market for Heetch data projects.
Benefit #3	Greater ROI thanks to cost control.

Benefit #1

Decrease in frustration from the previous bottleneck caused by the data warehouse.

Benefit #2

Notably faster time to market for Heetch data projects.

Benefit #3

Greater ROI thanks to cost control.

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Overview

Heetch + Dataiku: Developing an Elastic AI Strategy

Operational Impact

Quantitative Benefit