Hennessy Auto, metro Atlanta's leading used car luxury vehicle sales, service, and leasing company, is at the forefront of a digital transformation movement across the enterprise. They harnessed the power of data and planned modernization to meet today's market challenges. With the help of ITTStar experienced data consultants, Hennessy built an end-to-end infrastructure for the early stages of a modern data platform, paving the way for future improvements and enhancements. This gave them the insight and the highest quality data on their buyers and customers so that they can make the smartest buying and selling decisions.
Hennessy Auto, a leading metro Atlanta used luxury car dealer, struggled with
inefficient inventory management due to their outdated on-premises data
infrastructure. This limited their ability to make data-driven decisions,
potentially leading to stockouts or overstocking. The legacy system's scalability
constraints, data silos, manual processes, and security vulnerabilities directly
hindered their ability to optimize inventory levels for maximum profitability.
Client partnered with ITTStar's data consultants to embark on a DevOps-driven
transformation focused on building a modern cloud-based data platform. This
initiative aimed to unify inventory-related data, streamline processes, enhance
security, and provide real-time insights. The goal was to provide Client with the
tools to efficiently manage inventory, reduce costs, and improve customer
satisfaction through better vehicle availability.
As an Advanced AWS Partner, our data lake solution leveraged a scalable architecture with zoned S3 buckets for structured, flexible storage. An event-driven approach using Lambda functions, SNS, and SQS ensured automatic processing and efficient resource usage. AWS Glue streamlined analytics with schema discovery and data cataloging, enabling easy Athena queries. Robust data transformations powered by Lambda functions and Glue jobs guaranteed reliable data preparation. A strong emphasis on security was evident in the use of SSM Parameter Store and Secrets Manager. To ensure a seamless DevOps experience, we prioritized automation for bucket management, robust CI/CD and testing for Lambda functions, monitoring of Glue resources, IaC for transformations, and automated secret rotation within pipelines.
AWS provides secure, reliable, scalable, and affordable cloud computing services. To leverage scalability, AWS can easily manage increasing workloads by allocating resources based on demand. Offering products ranging from hosting data in the cloud with S3 to logical isolation with Amazon VPC. AWS Lambda is designed to let you run your code without setting up and managing servers. AWS SQS (fully managed message queue) for communicating with Lambda based on events in S3.
New data comes into the input bucket in S3. Amazon S3 publishes events to an SQS queue and transfers data to the queue. Queued data is retrieved using AWS Lambda. Data is processed by Lambda and returned to the S3 output bucket. The same process is used and data is consumed from a local MS SQL Server.
Hennessy Automobile Company chose ITTStar as their trusted partner for their digital transformation. They wanted an expert partner who could deliver data-driven innovation. ITTStar’s unique approach to solving complex data and analytics problems using cloud-native data platforms and their ability to drive innovation attracted customers to work with them.
As an AWS Partner, their understanding of how to integrate AWS services into their solutions, coupled with their fragmented approach to solving the overall business challenge, gave us confidence.
Hennessy Automobile Companies is the premier luxury vehicle sales, service, and leasing company in the metro Atlanta. They have a variety of luxury vehicles for different styles and occasions. They have a strong and dedicated sales team with years of experience meeting customer needs. Hennessy Automobile Companies not only sell vehicles but also provide after-purchase maintenance.
"In our latest contract, we prototyped converting a lambda function to a step function. I am pleased with the timeliness, communication, and ultimately work result - which has been humming along without issue for over 1/2 a year. Everything has worked flawlessly!"
- Peter Bartlett
CTO
Hennessy Auto