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Unified Agricultural Data Platform Development for Enhanced Investment Insights
  1. case
  2. Unified Agricultural Data Platform Development for Enhanced Investment Insights

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Unified Agricultural Data Platform Development for Enhanced Investment Insights

sombrainc.com
Agriculture
Food & Beverage
Financial Services
Environmental Services

Challenges in Data Integration and Visualization for Agricultural Investments

The client faced fragmented data storage across multiple sources, hindering effective decision-making. Limited collaboration with investors due to inconsistent data access, absence of real-time analytics, and manual reporting processes reduced operational efficiency and stakeholder satisfaction.

About the Client

A private investment firm specializing in sustainable agriculture and food-related assets, including farmland, livestock, aquaculture, and agribusinesses.

Key Objectives for Unified Data Platform Development

  • Establish a centralized data repository for agricultural assets
  • Enable real-time data processing and visualization
  • Enhance investor collaboration through secure, role-based data access
  • Automate reporting and analytical calculations
  • Integrate public and private data sources for comprehensive insights

Core System Functionalities and Features

  • Unified data lakehouse architecture for structured/unstructured data
  • Real-time data ingestion from USDA, NASS, NAV, and private sources
  • Interactive BI dashboards with Plotly integration
  • Tenant-level access control and security policies
  • Automated report generation and historical data analysis tools

Technology Stack Requirements

Delta Lake on AWS S3 (Medallion Architecture)
Apache Spark on Amazon EMR
DynamoDB Data Catalog
Plotly for Data Visualization
AWS Cloud Infrastructure

External System Integrations

  • USDA National Agricultural Statistics Service (NASS)
  • USDA Economic Research Service (ERS)
  • NAV (National Agricultural Library)
  • Internal investor collaboration tools

Non-Functional Requirements

  • Scalable data processing for petabyte-scale agricultural datasets
  • High-availability architecture with 99.9% uptime SLA
  • Role-based access control (RBAC) with encryption at rest/in transit
  • Sub-second query response times for dashboard visualizations
  • Automated data quality validation pipelines

Anticipated Business Impact of Unified Data Platform Implementation

Expected outcomes include 70%+ increase in investor satisfaction through improved data transparency, 50% reduction in manual reporting efforts, and accelerated decision-making via real-time analytics. The platform will establish a single source of truth for agricultural asset management while maintaining strict data governance compliance.

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