Optimising Automotive Operation by Creating Structured Data Lakes

Examine how Applify builds a solution that transforms automotive operations, constructing automated data architecture and AI analytics for enhanced efficiency and scalability with structured data lakes.
MacBook mockup
Our client is known for developing cutting-edge software and solutions dedicated to the automotive industry. Their strategic focus revolves around optimising operational efficiency and refining processes within the automotive sector through the adept utilisation of digital advancements.

Hurdles &Complexities in Creation of Data Lakes

Explore the intricacies our client faced in managing scattered data, processing scalability, and establishing automated infrastructure for new models in the automotive business.

Scattered Data

Addressing data dispersion across databases, necessitating a solution for unified analysis, posing a critical challenge for efficient automotive data management.

Scalability Issues

The need for scalable data processing, especially with increasing volumes from multiple sources, requires a solution to handle diverse data models for numerous clients.

Automated Infrastructure

Introducing new models seamlessly demanded automated infrastructure setup, presenting a challenge in creating a dynamic system capable of adapting to evolving automotive data requirements.

Key Technologies Powering Our Automotive Data Solution

Explore the core technologies essential for overcoming challenges and ensuring peak performance in our automotive data management solution.

Effective Resolutions for Transforming Automotive Data Challenges

Discover the tailored solutions that successfully address complex challenges, revolutionizing our client's automotive data management and fostering efficiency, scalability, and innovation.

Data Integration

Implementing a robust data integration strategy streamlined the scattered data, ensuring a unified analysis approach for efficient automotive data management with Amazon S3, AWS Glue, and GraphQL.

Cloud-Based Scalability

Efficiently handling diverse data models and accommodating the growing demands of numerous clients in the automotive sector using Cloud Computing (AWS) and scalable database solutions (Amazon Redshift).

Endpoint Efficiency

Conducted precise optimisation, ensuring peak efficiency of API endpoints, especially with GraphQL, resulting in unparalleled low-latency data access for AI applications in the automotive industry.

Strategic Solutions with the
Focus to Technical Achievements

Dive into the technical outcomes that tactically addressed challenges, revolutionising our client's  data  architecture with precision, innovation, and measurable success."
Integration icon

Operational Efficiency

Terraform automation achieved a 70% reduction in operational time.
Integration icon

Scalable Solution

With Redshift, accommodating 4 data models.
Integration icon

Analysis Efficiency

Achieved a remarkable 90% increase in analysis efficiency.
Integration icon

High Availability

Zero downtime, incorporating automated rollback mechanisms.

Driving Success with Applify's Proven Solutions

With a focus on customer success, our proven solutions drive efficiency, ensuring a transformative impact on the automotive business.