Rockset Enables Real-Time Operational Analytics in Hardware Manufacturing for PCH
Customer Company Size
Large Corporate
Region
- Asia
- America
- Europe
Country
- China
- Ireland
- United States
Product
- Rockset
- MongoDB
- DynamoDB
- Snowflake
- Amazon Redshift
Tech Stack
- Amazon S3
- Azure-hosted Cosmos DB
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Cost Savings
- Customer Satisfaction
Technology Category
- Analytics & Modeling - Real Time Analytics
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Electronics
- Consumer Goods
Applicable Functions
- Business Operation
Use Cases
- Real-Time Location System (RTLS)
- Supply Chain Visibility
Services
- Data Science Services
- System Integration
About The Customer
PCH International is a leading hardware manufacturer with a unique end-to-end model. The company not only builds products like Apple gadgets and Beats headphones on behalf of brands but also sources products it doesn’t manufacture and ships finished goods to retailers and consumers. With headquarters in Ireland, manufacturing in Shenzhen, China, and product design in San Francisco, PCH has pioneered the Direct-to-Consumer (D2C) model, enabling it to generate over $1 billion in annual revenue. Managing a global operation with tens of thousands of manufacturing partners, retailers, and brand customers requires ultra-fast analysis of huge volumes of streaming data. PCH has been at the forefront of using operational intelligence to power its business, collecting data through all stages of product development, sourcing, manufacturing, and distribution to identify inefficiencies and improve operations.
The Challenge
PCH International faced challenges with its existing data infrastructure, which was built on MongoDB and DynamoDB. These systems could not support real-time querying of data, leading to slow ingestion and query times. The company needed faster, more complex queries to make its supply chain fully visible to its analysts and customers. Existing solutions like Snowflake and Redshift were considered but found to be too costly and slow for real-time analytics. PCH required a solution that could handle large datasets with low latency and was easy to deploy and manage for its small data engineering team.
The Solution
PCH International chose Rockset for its real-time analytics database capabilities. Rockset impressed PCH with its ability to quickly ingest data from multiple sources, including streaming sources, with minimal setup. The platform enabled fast query performance, allowing PCH to perform ad hoc complex queries within seconds, a significant improvement over the previous one-hour latency. Rockset's multiple indexes provided PCH with the flexibility to create various types of queries without the need for predefining and building indexes. The ease of setup and management made Rockset a low-ops solution, fitting PCH's specific needs without requiring extensive customization. Rockset's dashboard also allowed PCH to monitor ingested data for errors and incorrect fields, further enhancing its data management capabilities.
Operational Impact
Quantitative Benefit
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