Skip to main content
Technology & Data Risk evaluates the business’s digital readiness and information management practices. This category examines IT infrastructure, data systems, cybersecurity, adoption of digital tools, and analytics capabilities that increasingly determine competitiveness in modern agriculture.

Category Overview

Risk Category: TECHNOLOGY_DATA
Subcategories: 5
Weight: Equal (1/7 of overall risk score)

Scoring Summary

Technology & Data Risk Score = avg(
  IT Infrastructure Risk,
  Data Management Risk,
  Cybersecurity Risk,
  Digital Tools Adoption Risk,
  Analytics Capability Risk
)

5 Subcategories

1. IT Infrastructure Risk

Indicator: Availability, reliability, and modernity of IT hardware and connectivity What drives this score:
  • Computing Devices: Availability of computers, tablets, or smartphones for business use
  • Internet Connectivity: Access to reliable internet (fiber, 4G/5G, satellite)
  • Software Licenses: Legitimate software vs. pirated or outdated versions
  • IT Maintenance: Regular updates, backups, and technical support
  • Power Reliability: Access to stable electricity or backup power
Scoring Criteria:
Risk LevelScoreCriteria
LOW0-30• Modern computing devices (laptops, tablets) for key staff
• Reliable internet (fiber, 4G/5G, >10 Mbps)
• Licensed software (accounting, office, farm management)
• Regular IT maintenance and backups
• Stable power with backup (generator, solar, UPS)
MODERATE31-60• Some computing devices (shared or personal)
• Moderate internet (3G, less than 10 Mbps, occasional downtime)
• Mix of licensed and free software
• Occasional IT maintenance
• Power available but frequent outages
HIGH61-80• Very few devices (personal phones only)
• Poor internet (2G, unreliable, expensive data)
• Outdated or pirated software
• No IT maintenance or backups
• Unreliable power (frequent outages, no backup)
CRITICAL81-100• No computing devices
• No internet access
• No software or IT systems
• No IT support or maintenance
• No electricity or severe power constraints
Evidence Required:
  • IT inventory (devices, internet type, software)
  • Internet speed test results or connectivity records
  • Software licenses or subscriptions
  • IT maintenance logs or contracts

2. Data Management Risk

Indicator: Quality of data collection, storage, and organization practices What drives this score:
  • Data Collection: Systematic recording of farm, financial, and operational data
  • Data Storage: Secure, organized storage (cloud, database, or file system)
  • Data Integrity: Accuracy, completeness, and timeliness of data
  • Data Backup: Regular backups and disaster recovery capabilities
  • Data Access: Ease of retrieving data for decision-making
Scoring Criteria:
Risk LevelScoreCriteria
LOW0-30• Systematic data collection (farm, finance, operations)
• Cloud-based or database storage
• High data integrity (accurate, complete, timely)
• Automated backups (daily/weekly)
• Easy data access and retrieval
MODERATE31-60• Regular data collection with some gaps
• File-based storage (Excel, PDFs) on local devices
• Moderate data integrity (some errors or delays)
• Occasional backups (monthly)
• Data accessible but requires effort
HIGH61-80• Inconsistent data collection (ad-hoc, incomplete)
• Paper-based or unorganized digital storage
• Low data integrity (frequent errors, outdated)
• Rare or no backups
• Difficult to access data
CRITICAL81-100• No data collection
• No organized storage (lost or destroyed data)
• No data integrity (unreliable or fabricated)
• No backups (single point of failure)
• Cannot retrieve data for decisions
Evidence Required:
  • Data collection forms or systems (farm records, financials)
  • Data storage system (cloud service, database, file structure)
  • Data quality assessment (accuracy, completeness)
  • Backup procedures and schedules

3. Cybersecurity Risk

Indicator: Protection of data and systems from cyber threats and unauthorized access What drives this score:
  • Access Controls: Password protection, user authentication, access permissions
  • Data Encryption: Encryption of sensitive data (at rest and in transit)
  • Security Software: Antivirus, firewall, and security updates
  • Security Incidents: History of data breaches, malware, or unauthorized access
  • Security Awareness: Staff training on phishing, password hygiene, etc.
Scoring Criteria:
Risk LevelScoreCriteria
LOW0-30• Strong access controls (2FA, role-based permissions)
• Data encrypted (cloud storage, HTTPS)
• Updated security software (antivirus, firewall)
• No security incidents
• Regular security awareness training
MODERATE31-60• Basic access controls (passwords, limited sharing)
• Some encryption (cloud services use HTTPS)
• Security software installed but not always updated
• Minor incidents (malware cleaned, no data loss)
• Occasional security awareness
HIGH61-80• Weak access controls (shared passwords, no permissions)
• No encryption (plain text storage)
• Outdated or no security software
• Multiple incidents (malware, unauthorized access)
• No security awareness
CRITICAL81-100• No access controls (open access to all data)
• No encryption or security measures
• Actively infected systems
• Data breach or ransom attack
• Complete lack of security awareness
Evidence Required:
  • Access control policies and user management
  • Security software inventory and update logs
  • Security incident reports or breach history
  • Security training records

4. Digital Tools Adoption Risk

Indicator: Use of modern digital tools and platforms for farm management, finance, and operations What drives this score:
  • Farm Management Tools: Use of apps or software for planning, tracking, and analysis (e.g., FarmLogs, Agworld)
  • Financial Software: Accounting or ERP systems (e.g., QuickBooks, Zoho, Sage)
  • Communication Platforms: Email, WhatsApp Business, CRM for customer engagement
  • Digital Payments: Mobile money, online banking, digital invoicing
  • Precision Agriculture: GPS, sensors, drones, or IoT devices
Scoring Criteria:
Risk LevelScoreCriteria
LOW0-30• Farm management software in active use
• Accounting software with automated reporting
• Professional communication (email, CRM)
• Digital payments (mobile money, online banking)
• Precision ag tools (GPS, sensors, drones)
MODERATE31-60• Basic farm record-keeping app (e.g., Excel)
• Accounting software (entry-level)
• WhatsApp for communication
• Some digital payments (M-Pesa)
• Considering precision ag tools
HIGH61-80• Paper-based farm records
• Manual bookkeeping or basic spreadsheets
• Phone calls or SMS only
• Cash-only transactions
• No precision ag tools
CRITICAL81-100• No farm record-keeping
• No financial tracking
• No digital communication
• Complete reliance on cash
• No awareness of digital tools
Evidence Required:
  • List of digital tools and platforms in use
  • Screenshots or access to farm management/accounting software
  • Digital payment transaction records
  • Precision agriculture technology inventory

5. Analytics Capability Risk

Indicator: Ability to analyze data and generate insights for decision-making What drives this score:
  • Data Analysis: Use of data to inform decisions (yield analysis, cost-benefit, forecasting)
  • Reporting: Regular dashboards, reports, or KPIs for monitoring performance
  • Business Intelligence: Advanced analytics (trends, benchmarks, predictive models)
  • Skills: Staff capacity to analyze data and interpret results
  • Data-Driven Culture: Evidence that decisions are based on data, not just intuition
Scoring Criteria:
Risk LevelScoreCriteria
LOW0-30• Systematic data analysis (yield, costs, margins)
• Dashboards and KPIs for real-time monitoring
• Advanced analytics (trends, forecasts, optimization)
• Skilled data analyst or trained staff
• Strong data-driven decision-making culture
MODERATE31-60• Basic data analysis (occasional yield or cost reviews)
• Periodic reports (quarterly or annual)
• Limited analytics (simple comparisons)
• Some data skills (Excel, basic analysis)
• Mix of data and intuition in decisions
HIGH61-80• Minimal data analysis (ad-hoc, infrequent)
• No regular reporting
• No analytics capability
• No data analysis skills
• Decisions based on intuition, not data
CRITICAL81-100• No data analysis
• No reporting or KPIs
• No awareness of analytics
• No data skills
• Complete reliance on guesswork
Evidence Required:
  • Data analysis reports or case examples
  • Dashboards or KPI tracking systems
  • Staff CVs or analytics training records
  • Evidence of data-driven decisions

Risk Mitigation Strategies

  • Invest in computing devices (laptops, tablets) for key staff
  • Upgrade internet connectivity (fiber, 4G/5G router)
  • Purchase licensed software (accounting, office, farm management)
  • Establish IT maintenance schedule and backup routines
  • Install backup power (solar, generator, UPS)
  • Implement systematic data collection processes
  • Adopt cloud-based storage (Google Drive, Dropbox, OneDrive)
  • Improve data integrity through validation and quality checks
  • Set up automated backups (daily cloud backups)
  • Organize data for easy access and retrieval
  • Implement access controls (strong passwords, 2FA, user permissions)
  • Encrypt sensitive data (use cloud services with HTTPS)
  • Install and update security software (antivirus, firewall)
  • Train staff on cybersecurity (phishing, password hygiene)
  • Respond to incidents and conduct security audits
  • Adopt farm management app (e.g., FarmLogs, Agworld, AgroCenta)
  • Implement accounting software (QuickBooks, Zoho, Wave)
  • Use digital communication (email, WhatsApp Business, CRM)
  • Enable digital payments (M-Pesa, bank transfers, online invoicing)
  • Explore precision ag tools (GPS, sensors, drones)
  • Analyze farm data (yield, costs, margins) regularly
  • Create dashboards or KPIs for monitoring
  • Develop analytics skills through training or hiring
  • Use advanced analytics (trends, benchmarks, forecasts)
  • Build data-driven decision-making culture

Data Sources

Technology & Data Risk analysis draws from:
  • Business Plan: Technology strategy and digital tools inventory
  • IT Inventory: Devices, software, internet connectivity assessment
  • Data Systems: Demonstration of data collection, storage, and access
  • Security Practices: Access controls, backups, security software
  • Analytics Examples: Reports, dashboards, or data-driven decisions
  • Guided Interview: Management’s digital literacy and technology awareness

Build docs developers (and LLMs) love