HP Democratizes Access to AI-Driven Business Insights Using Snowflake and ThoughtSpot
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- Snowflake
- ThoughtSpot
- Embrace
Tech Stack
- Data Warehousing
- AI-driven Analytics
- Natural Language Processing
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
- Digital Expertise
Technology Category
- Analytics & Modeling - Predictive Analytics
- Platform as a Service (PaaS) - Data Management Platforms
- Analytics & Modeling - Machine Learning
Applicable Industries
- Software
- Professional Service
Applicable Functions
- Business Operation
- Sales & Marketing
Services
- Data Science Services
- System Integration
About The Customer
HP Inc., headquartered in Palo Alto, California, is a global technology company with a diverse product and service portfolio that includes personal systems, printers, and 3D printing solutions. The company's vision is to create technology that improves the lives of individuals, organizations, and communities worldwide. HP's partner ecosystem is a critical component of its business, generating 80% of its revenue through data exchanges for product tracking, sell-through inventory, and more. As a large corporate entity, HP is committed to leveraging advanced technologies to enhance its business operations and provide value to its partners and customers. The company faced challenges in scaling its business intelligence and analytics capabilities to meet the evolving demands of its partner ecosystem and business models.
The Challenge
HP faced significant challenges in scaling its business intelligence (BI) and analytics capabilities. The company's partner ecosystem, which generates 80% of its revenue, required extensive data exchanges for product tracking and inventory management. However, HP's existing BI toolset was ineffective for scaling and managing this data. The BI team relied on a traditional collection of OLAP cubes, a custom-built .NET user interface, and numerous offline reports. This system was slow, taking 24–48 hours to refresh data and even longer for analysis. New data deployments took three months, rendering the data obsolete by the time it was ready for use. The BI team became a bottleneck, spending excessive time on data analysis requests instead of strategic initiatives. End users needed a self-service solution to access and analyze data efficiently.
The Solution
HP selected Snowflake for data warehousing and data sharing workloads and ThoughtSpot for search and AI-driven analytics. ThoughtSpot allows users to create new data-driven insights using simple natural language or surface insights generated by others across the enterprise. By leveraging AI, ThoughtSpot goes beyond answering known questions, detecting trends, and identifying anomalies and patterns, to suggesting new questions users wouldn’t think to ask. HP ingests data into Snowflake and uses Embrace to gain seamless access to that data from ThoughtSpot. This integration allows HP to manage compliance and supplies management data, as well as serial number data, which tracks products in use globally. Snowflake and ThoughtSpot are now used for various analytics, including pricing, bid desk analytics, supplies management, partner risk management, customer performance management, and channel performance and profitability. The solution has transformed HP's approach to data management and analytics, enabling faster, more efficient, and self-service access to insights.
Operational Impact
Quantitative Benefit
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