Dataiku Case Studies Heetch's Elastic AI Strategy Development with Dataiku

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	Heetch's Elastic AI Strategy Development with Dataiku Dataiku

Heetch's Elastic AI Strategy Development with Dataiku

Dataiku

Technology Category	Analytics & Modeling - Machine Learning Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries	Cement Education
Applicable Functions	Warehouse & Inventory Management
Use Cases	Fraud Detection Transportation Simulation
Services	Cloud Planning, Design & Implementation Services Data Science Services
Challenge	Heetch, a French mobility company, was struggling with the management of large quantities of data gathered from drivers, passengers, and global operations. As the company grew, the costs of their data warehouse were spiraling out of control and performance was suffering due to the increasing volume of data. They needed a solution that would allow anyone in the organization to work with large amounts of data while also ensuring optimized resource allocation. The challenge was to find a way to leverage big data with good performance and at reasonable costs, which required serious computational power, optimized resource consumption, and isolated environments for development and production. Managing all these aspects was becoming increasingly complex for the organization. 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, they struggled to scale their ability to 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
Customer Name	Heetch Read More
Solution	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. Dataiku and Kubernetes were used to address their primary pain 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, and leverage the EKS cluster to distribute compute and run Spark jobs. To control costs, Heetch also used Dataiku for resource consumption optimization, differentiating CPU-vore clusters from Memory-vore clusters to optimize user experience and computation speed depending on the type of job launched. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Platform as a Service (PaaS) - Application Development Platforms

Applicable Industries

Cement

Education

Applicable Functions

Warehouse & Inventory Management

Use Cases

Fraud Detection

Transportation Simulation

Services

Cloud Planning, Design & Implementation Services

Data Science Services

Challenge

Heetch, a French mobility company, was struggling with the management of large quantities of data gathered from drivers, passengers, and global operations. As the company grew, the costs of their data warehouse were spiraling out of control and performance was suffering due to the increasing volume of data. They needed a solution that would allow anyone in the organization to work with large amounts of data while also ensuring optimized resource allocation. The challenge was to find a way to leverage big data with good performance and at reasonable costs, which required serious computational power, optimized resource consumption, and isolated environments for development and production. Managing all these aspects was becoming increasingly complex for the organization.

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, they struggled to scale their ability to 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.

Customer Name

Heetch

Solution

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. Dataiku and Kubernetes were used to address their primary pain 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, and leverage the EKS cluster to distribute compute and run Spark jobs. To control costs, Heetch also used Dataiku for resource consumption optimization, differentiating CPU-vore clusters from Memory-vore clusters to optimize user experience and computation speed depending on the type of job launched.

Impact #1	Since moving to Dataiku, Heetch has transformed its ability to leverage elastic resources and uplevel its overall AI maturity. The company now has a unified data platform on which different people work in parallel on data projects. Data is accessible thanks to Dataiku’s abstraction layer and leverageable with appropriate infrastructure (EKS) that is robust, elastic, and scalable. Collaboration and knowledge sharing has been drastically improved, which was especially important for Heetch during remote working in 2020. Operationalization has benefited the entire organization with more than 100 projects in production on the automation node, running on a regular basis and driving daily business processes.

Impact #1

Since moving to Dataiku, Heetch has transformed its ability to leverage elastic resources and uplevel its overall AI maturity. The company now has a unified data platform on which different people work in parallel on data projects. Data is accessible thanks to Dataiku’s abstraction layer and leverageable with appropriate infrastructure (EKS) that is robust, elastic, and scalable. Collaboration and knowledge sharing has been drastically improved, which was especially important for Heetch during remote working in 2020. Operationalization has benefited the entire organization with more than 100 projects in production on the automation node, running on a regular basis and driving daily business processes.

Benefit #1	Drastic increase in value from their data after integrating AWS EKS cluster
Benefit #2	Notably faster time to market for Heetch data projects
Benefit #3	Greater ROI thanks to cost control

Benefit #1

Drastic increase in value from their data after integrating AWS EKS cluster

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's Elastic AI Strategy Development with Dataiku

Operational Impact

Quantitative Benefit