Fivetran Case Studies Nauto's Deployment of Databricks, Fivetran and Hightouch for Single Source of Truth

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	Nauto's Deployment of Databricks, Fivetran and Hightouch for Single Source of Truth Fivetran

Nauto's Deployment of Databricks, Fivetran and Hightouch for Single Source of Truth

Fivetran

Technology Category	Analytics & Modeling - Machine Learning Analytics & Modeling - Predictive Analytics
Applicable Industries	Automotive Equipment & Machinery
Applicable Functions	Sales & Marketing
Use Cases	Driver Performance Monitoring Fleet Management
Services	Cloud Planning, Design & Implementation Services System Integration
Challenge	Nauto, a company that delivers predictive AI technology to make roads safer, was facing a significant challenge in managing its complex workflow. The company had to deal with multiple systems and stakeholders throughout the sales process, which often led to difficulties in finding a single source of truth. Nauto relied on fragile point-to-point integrations for taking new orders, processing payments, shipping hardware to customers, and managing customer subscriptions to its cloud data processing services. Any broken integration could leave its business users unable to serve customers for days. Moreover, different business systems rarely shared the same version of the truth. This situation led Nauto to seek a way to establish a single data repository that it could manage in-house using flexible modern tools. Read More
About Customer	Nauto is a company that aims to make roads safer by making fleets safer. It delivers predictive AI technology that helps drivers prevent collisions without invading their privacy. Nauto’s cameras and sensors detect drowsy or distracted driving, while its predictive AI technology considers driving conditions before sending alerts to encourage safer driving behavior. The company sells its sophisticated solution through a complex workflow, which involves taking new orders, processing payments, shipping hardware to customers, and managing customer subscriptions to its cloud data processing services. Read More
Solution	Nauto found its solution in Databricks Lakehouse, Fivetran, and Hightouch. All the data that matters to Nauto’s business is now readily available in Databricks Lakehouse. By moving its data out of proprietary systems and into Amazon Web Services, Nauto gained total control over access and formats. The company uses Hightouch to sync data automatically from Databricks to Salesforce and from Databricks to NetSuite, eliminating the complex series of scripts and spreadsheets it previously used to track data changes. Nauto also implemented Fivetran, which enables it to centralize its business data in Databricks with just a few clicks. This integration has streamlined tasks such as coordinating device returns and generating necessary reports and workflows automatically. It has also ensured that customer dashboards and billing statements display the same accurate billing information, eliminating time-consuming disputes. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Analytics & Modeling - Predictive Analytics

Applicable Industries

Automotive

Equipment & Machinery

Applicable Functions

Sales & Marketing

Use Cases

Driver Performance Monitoring

Fleet Management

Services

Cloud Planning, Design & Implementation Services

System Integration

Challenge

Nauto, a company that delivers predictive AI technology to make roads safer, was facing a significant challenge in managing its complex workflow. The company had to deal with multiple systems and stakeholders throughout the sales process, which often led to difficulties in finding a single source of truth. Nauto relied on fragile point-to-point integrations for taking new orders, processing payments, shipping hardware to customers, and managing customer subscriptions to its cloud data processing services. Any broken integration could leave its business users unable to serve customers for days. Moreover, different business systems rarely shared the same version of the truth. This situation led Nauto to seek a way to establish a single data repository that it could manage in-house using flexible modern tools.

About Customer

Nauto is a company that aims to make roads safer by making fleets safer. It delivers predictive AI technology that helps drivers prevent collisions without invading their privacy. Nauto’s cameras and sensors detect drowsy or distracted driving, while its predictive AI technology considers driving conditions before sending alerts to encourage safer driving behavior. The company sells its sophisticated solution through a complex workflow, which involves taking new orders, processing payments, shipping hardware to customers, and managing customer subscriptions to its cloud data processing services.

Solution

Nauto found its solution in Databricks Lakehouse, Fivetran, and Hightouch. All the data that matters to Nauto’s business is now readily available in Databricks Lakehouse. By moving its data out of proprietary systems and into Amazon Web Services, Nauto gained total control over access and formats. The company uses Hightouch to sync data automatically from Databricks to Salesforce and from Databricks to NetSuite, eliminating the complex series of scripts and spreadsheets it previously used to track data changes. Nauto also implemented Fivetran, which enables it to centralize its business data in Databricks with just a few clicks. This integration has streamlined tasks such as coordinating device returns and generating necessary reports and workflows automatically. It has also ensured that customer dashboards and billing statements display the same accurate billing information, eliminating time-consuming disputes.

Impact #1	The transformation has led Nauto from having a limited data strategy to implementing a modern data stack, running three major data pipelines with at least 15 tables. The company now has total confidence that its business systems are in sync, which gives decision-makers the perspective they need to lead the company forward. The integration has also eliminated time-consuming disputes over billing information, as customer dashboards and billing statements now display the same accurate information. The company can now generate necessary reports and workflows automatically, saving significant time and resources. Moreover, everyone across teams can contribute their own data in their own format to support major strategic decisions.

Impact #1

The transformation has led Nauto from having a limited data strategy to implementing a modern data stack, running three major data pipelines with at least 15 tables. The company now has total confidence that its business systems are in sync, which gives decision-makers the perspective they need to lead the company forward. The integration has also eliminated time-consuming disputes over billing information, as customer dashboards and billing statements now display the same accurate information. The company can now generate necessary reports and workflows automatically, saving significant time and resources. Moreover, everyone across teams can contribute their own data in their own format to support major strategic decisions.

Benefit #1	75% savings over traditional ETL tools such as Informatica
Benefit #2	80+ engineering hours saved per month
Benefit #3	75% cost optimization compared to Informatica

Benefit #1

75% savings over traditional ETL tools such as Informatica

Benefit #2

80+ engineering hours saved per month

Benefit #3

75% cost optimization compared to Informatica

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Overview

Nauto's Deployment of Databricks, Fivetran and Hightouch for Single Source of Truth

Operational Impact

Quantitative Benefit