The Client
An electric vehicle manufacturer operating across multiple business and operational functions needed a unified data foundation to bring together information from vehicle telemetry, grid and enterprise systems. With data distributed across manufacturing, finance, quality, customer and vendor environments, the organization needed a modern data platform that could improve reporting consistency, strengthen governance and support more advanced analytics.
The Challenge
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Fragmented Data Across Systems
Data spread across vehicle telemetry, grid, SAP, MES, Salesforce, Jira and shopfloor systems made it difficult to establish a unified view of enterprise and operational performance.
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Inconsistent Enterprise Reporting
Finance, quality, customer, product and vendor functions needed more consistent reporting built on reliable, connected data.
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Limited Support for Advanced Analytics
The existing data environment needed to better support predictive and AI-driven use cases, with a stronger foundation for enterprise-scale analytics.
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Governance and Data Visibility
Data quality, lineage, reconciliation and metadata visibility presented challenges to building trust in data and enabling its wider use across the organization.
The Impact
- 3 key data domains unified: Telemetry/vehicle, grid and enterprise data brought together on a single platform.
- 5+ source systems integrated: Operational and enterprise data connected through a modern data architecture.
- 400+ reports supported: Enterprise reporting enabled on a governed analytics foundation.
- 5 enterprise 360 views enabled: Customer, product, vendor, finance and quality perspectives supported through connected data.
The Solution
Hoonartek implemented a modern data lake and analytics platform built on Databricks and Google Cloud, bringing together operational and enterprise data in a unified architecture.
A governed Bronze–Silver–Gold framework established a structured foundation for ingesting, organizing and preparing data for downstream consumption. Reusable data marts supported consistent access to business-ready information across functions.
The platform integrated data from more than five source systems, spanning vehicle telemetry, grid, SAP, MES, Salesforce, Jira and shopfloor environments. Data quality, lineage and metadata management capabilities strengthened the foundation for reliable enterprise analytics.
Hoonartek also enabled five enterprise 360 views across customer, product, vendor, finance and quality domains. These connected perspectives helped establish a more consistent basis for cross-functional reporting and analysis.
The resulting platform supported more than 400 reports and enabled analytics through dashboards, reports and AI/BI conversational access. The modernized foundation also improved readiness for AI/ML and predictive maintenance use cases.
Key Benefits
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Unified Enterprise Data:
Three key data domains brought together on a single platform.
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Connected 360-Degree Views:
Customer, product, vendor, finance and quality data organized to support broader business visibility.
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Stronger Data Governance:
Data quality, lineage and metadata management incorporated into the platform.
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Foundation for Predictive Analytics:
Improved readiness for AI/ML, predictive maintenance and enterprise-scale analytics.
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Business-Friendly Data Access:
Dashboards, reports and conversational AI/BI access supported through the modern analytics platform.