✅ Top 15 Most Important Data Sets for Seed Companies

1. Germination & Genetic Purity Data

• Why important: Ensures seed quality meets standards.
• Used by: QA/QC team, regulatory audits, R&D.
• Metrics: Germination %, physical purity %, genetic purity %, seed vigor index.

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2. Breeding & Performance Trial Data

• Why important: Directly impacts the success of new hybrids.
• Used by: Breeders, product managers.
• Metrics: Yield, days to maturity, disease resistance, uniformity, GxE interaction.

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3. Seed Production Data

• Why important: Enables cost-effective and scalable seed multiplication.
• Used by: Production managers, agronomists.
• Metrics: Seed yield per acre, rejection %, recovery rate, production cost per kg.

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4. Dealer and Distributor Sales Data

• Why important: Helps track channel performance and optimize supply chain.
• Used by: Sales & marketing team, business heads.
• Metrics: Sales volume per dealer, order frequency, outstanding credit, region-wise sales trends.

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5. Customer Feedback & Complaint Data

• Why important: Guides product improvement and reputation management.
• Used by: Marketing, product development.
• Metrics: Number of complaints per lot, farmer satisfaction ratings, issue closure time.

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6. Inventory & Shelf-Life Tracking

• Why important: Prevents expired seed sales and financial loss.
• Used by: Operations/logistics, warehouse managers.
• Metrics: Batch age, slow-moving stock, reorder levels, stock-to-sale ratio.

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7. Variety-wise Profitability Data

• Why important: Tells you which hybrids make money.
• Used by: Finance, top management.
• Metrics: Total cost per kg vs selling price, marketing cost per variety, ROI per hybrid.

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8. Weather & Pest Incident Logs

• Why important: Helps correlate field performance and pest resistance.
• Used by: Breeders, seed producers, agronomists.
• Metrics: Temperature, rainfall, disease severity index, pest frequency.

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9. Farmer Demographics & Behavior Data

• Why important: Supports targeted marketing and product positioning.
• Used by: Marketing, business development.
• Metrics: Farmer size, crop preferences, sowing dates, purchase frequency.

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10. Competitor Price & Product Tracking

• Why important: Necessary for staying competitive in market.
• Used by: Product managers, sales heads.
• Metrics: Competitor pricing, pack sizes, trait advantages, demo results.

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11. Digital Marketing & Lead Conversion Data

• Why important: Evaluates ROI of marketing campaigns.
• Used by: Marketing team, digital strategy.
• Metrics: Ad reach, clicks, conversions, cost per lead, lead-to-sale ratio.

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12. Demo Plot Results & ROI

• Why important: Validates product performance in real field conditions.
• Used by: Sales, product development.
• Metrics: Yield data, farmer feedback, visual ratings, cost per demo.

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13. Regulatory Approval & Licensing Status

• Why important: Prevents legal issues and sales halts.
• Used by: Regulatory affairs, legal team.
• Metrics: ICAR trial status, State/NBPGR approvals, expiry timelines.

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14. Seed Pricing & Scheme Analytics

• Why important: Controls profit margins and evaluates sales schemes.
• Used by: Sales heads, finance, product managers.
• Metrics: MRP vs realization, scheme effectiveness, seasonal discount ROI.

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15. R&D Cycle Time & Success Rate

• Why important: Drives innovation pipeline speed.
• Used by: Breeding team, R&D leadership.
• Metrics: Cross to commercial release timeline, % successful hybrids, cost per variety developed.