Contact Us

Case Study

Processing Millions
of Service Events with Automated Data Pipelines

Clearscale designed a PaaS architecture on AWS that normalized, corrected, and deduplicated fleet service data for real-time insights.

Client Profile

Industry Commercial Vehicle Asset Service Management

Competencies Migration & Modernization, Data & Analytics

Overview

Decisiv, a leader in service relationship management for commercial vehicle assets, needed to modernize its data infrastructure. Manual workflows and siloed information made it difficult to achieve consistency, accuracy, and efficiency across its platform. Clearscale re-architected Decisiv’s data systems on AWS, delivering a unified and automated pipeline that improved data quality, accelerated analytics, and freed engineers to focus on innovation.

Meet Our Hero

Decisiv provides a cloud-based SRM platform that connects fleets, service providers, and manufacturers in the commercial vehicle ecosystem. Its mission is to streamline service management through improved visibility, communication, and collaboration.

As the platform expanded, Decisiv faced mounting challenges with data management. Manual workflows created errors and bottlenecks, while siloed datasets prevented the company from establishing a single source of truth. Engineers spent too much time addressing inconsistencies instead of innovating. To continue scaling, Decisiv needed a modernized data infrastructure that could unify, normalize, and automate its processes.

The Goal

  • Overhaul Decisiv’s data infrastructure.
  • Unify and normalize datasets across its PaaS platform.
  • Enable advanced analytics and ML-driven insights.
  • Modernize SaaS apps with microservices and containerization
  • Automate workflows to reduce manual effort and errors.

The Challenge

Challenge 01
Error-prone manual workflows slowed development and introduced risk
Challenge 02
Siloed data prevented the creation of a single source of truth
Challenge 03
Inconsistencies reduced data quality and reliability
Challenge 04
Lack of automation limited efficiency and scalability

The Solution

Clearscale partnered with Decisiv to design and implement a modern AWS-based data pipeline.

Step 01: Data Lake and Catalog

  • Leveraged Amazon S3 with Glue Data Catalog and AWS Lake Formation
  • Established a single source of truth for structured and unstructured data

Step 02: Database Modernization

  • Migrated from legacy PostgreSQL to AWS RDS for PostgreSQL and Aurora Postgres
  • Enabled scalable and reliable relational data management

Step 03: Analytics and ML Integration

  • Began leveraging Amazon Redshift for advanced analytics
  • Integrated Amazon SageMaker to support ML-driven predictions and automation

Step 04: Automation and Orchestration

  • Applied AWS Step Functions and Glue for workflow automation
  • Reduced manual interventions and streamlined data movement

Step 05: Secure Access and APIs

  • Implemented Amazon API Gateway and Cognito for controlled access for end-users for batch and real-time use.

The Impact

Automated data workflows, reducing manual effort and risk

Single source of truth for more accurate, consistent data
Improved data quality, enabling proactive monitoring and insights
Engineers freed to focus on innovation instead of fixing errors
Advanced analytics and ML integration, positioning Decisiv for continued growth
“Clearscale demonstrated both its technical cloud expertise and creativity through our recent project. It was clear from the get-go that Clearscale had done this type of data management revamp time and time again. Their expertise in machine learning was a valuable complement to our own application experts. We’re now well-positioned to create even greater value for everyone in the SRM Ecosystem from manufacturers, to our dealers, fleets and partners.”



— Satish Joshi, CTO, Decisiv

Turn Cloud Chaos Into Clear Results On AWS

Clearscale helps PaaS and SaaS companies cut through cloud chaos and get clear results on AWS. If you need help modernizing your data infrastructure to unlock innovation, scalability, and automation with AWS, or if your current systems are slowing you down, let’s talk.

Talk to an Engineer