Managing billions of rows of data daily is no small feat. For one global automotive leader, this complexity slowed down decision-making, created bottlenecks in analytics workflows, and made it challenging for teams to get the insights they needed—when they needed them.
With nearly 90% of the company’s analytics projects under the purview of a single analytics lead, the company needed a scalable approach to manage its vast data ecosystem effectively. The goal was clear: streamline analytics operations, improve data accessibility, and empower teams across the organization.
Overcoming complexity at scale
Data silos and inefficiencies made it difficult for product managers and engineers to leverage analytics to their full potential. The company’s analytics lead took on the ambitious task of overhauling their data pipelines, ensuring they were optimized for visualization and decision-making.
But with data flowing at such high volumes, the challenge wasn’t just about restructuring—it was about building a framework that could scale. To achieve this, the analyst got the company on board with seeking external expertise to refine its approach to data governance and analytics efficiency.
“This wasn’t just about fixing issues in the short term,” the analytics lead shared. “We needed a long-term strategy that made analytics more efficient and accessible for everyone.”
Expert support to drive results
To navigate the intricacies of data restructuring, the company partnered with , who provided technical insights and best practices. Through structured guidance, the company was able to use to streamline data workflows, reduce turnaround times for analytics requests, and enable product managers to access real-time insights without unnecessary delays.
The results were transformative:
- Faster decision-making: Optimized dashboards allowed teams to extract insights quickly, eliminating bottlenecks.
- Stronger collaboration: Engineers and product managers worked more seamlessly with clear, structured data pipelines.
- Scalability for the future: The new framework positioned the company to handle increasing data demands as it grew.
Real-time problem solving for critical issues
Unblocking the team’s data access shifted them into overdrive—they could now use real-time data to solve problems. When the company’s engineering team encountered persistent issues with device IDs that threatened to stall a critical project, having immediate access to expert insights made all the difference.
“Instead of spending hours troubleshooting or waiting for responses, we were able to get real-time answers,” the analytics lead explained. “That efficiency saved us countless hours and helped us keep projects on track.”
This hands-on support from Amplitude not only accelerated troubleshooting but also improved collaboration between technical and non-technical teams, ensuring that analytics efforts remained aligned with business objectives.
Empowering teams across the organization
A key goal of the initiative was to ensure analytics wasn’t just the domain of technical teams. With the right strategic training and dashboard optimizations, product managers who previously struggled with complex data queries were now able to work independently and make data-driven decisions with confidence.
“The support ensured that our teams could focus on what matters most,” the analytics lead said. “We weren’t just fixing issues—we were building a smarter way to work with data.”
A scalable foundation for growth
With the right strategy and expertise, the automotive company successfully redefined its approach to analytics. What was once a bottleneck has now become a scalable, efficient system that supports decision-making at every level of the business.
Amplitude’s played a supporting role in this transformation, helping the company’s analytics lead navigate technical complexities and implement sustainable solutions.
“As we continue to expand our analytics capabilities, the impact of this transformation is clear,” the analytics lead reflected. “We’re working smarter, making better decisions, and setting ourselves up for long-term success.”
By leveraging external expertise, real-time support, and best-in-class analytics capabilities, this global automotive leader is putting the drive back in data-driven decisions.