Ensure Quality Assurance through Operational Analytics

Situation

A major commodity provider delivers eight billion pounds of produce per year to customers from thousands of independent farms throughout the country. Major commodity producers are shifting towards precision agriculture, which takes the guesswork out of growing crops and facilitates integrated commodity pricing in the financial spot markets.

Problem

The system’s applications live in data silos, and the testing equipment can become uncalibrated without the agency’s knowledge. The provided feedback was stale by the time it reached growers and the pricing market.

Solution

  • Use HPE Shadowbase Data Integration for heterogeneous data silo integration and consolidation
  • Distribute commodity quality data in real-time so the produce can be fairly priced on the financial spot market

    ensure-quality-assurance-through-operational-analytics-big-data-architecture-architecture

    Figure 1 — HPE Shadowbase Big Data Architecture

Outcomes

  • Distributed, consolidated quality data across heterogeneous systems for OLAP analysis
  • Increased commodity quality by immediately alarming users when testing parameters are not met

HPE Shadowbase Products of Interest

  • HPE NonStop Shadowbase DIAI Basic (SKU BE443AC)
  • HPE Other Server Shadowbase DIAI Basic (SKU WSA51V6T2)

Contact us or your HPE Shadowbase representative, and ask how Shadowbase software will benefit you.

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