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.Documentation Index
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Category Overview
Risk Category:TECHNOLOGY_DATASubcategories: 5
Weight: Equal (1/7 of overall risk score)
Scoring Summary
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- Software Licenses: Legitimate software vs. pirated or outdated versions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
| Risk Level | Score | Criteria |
|---|---|---|
| LOW | 0-30 | • 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) |
| MODERATE | 31-60 | • 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 |
| HIGH | 61-80 | • Very few devices (personal phones only) • Poor internet (2G, unreliable, expensive data) • Outdated or pirated software • No IT maintenance or backups • Unreliable power (frequent outages, no backup) |
| CRITICAL | 81-100 | • No computing devices • No internet access • No software or IT systems • No IT support or maintenance • No electricity or severe power constraints |
- 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
| Risk Level | Score | Criteria |
|---|---|---|
| LOW | 0-30 | • 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 |
| MODERATE | 31-60 | • 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 |
| HIGH | 61-80 | • 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 |
| CRITICAL | 81-100 | • 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 |
- 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.
| Risk Level | Score | Criteria |
|---|---|---|
| LOW | 0-30 | • Strong access controls (2FA, role-based permissions) • Data encrypted (cloud storage, HTTPS) • Updated security software (antivirus, firewall) • No security incidents • Regular security awareness training |
| MODERATE | 31-60 | • 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 |
| HIGH | 61-80 | • 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 |
| CRITICAL | 81-100 | • 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 |
- 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
| Risk Level | Score | Criteria |
|---|---|---|
| LOW | 0-30 | • 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) |
| MODERATE | 31-60 | • Basic farm record-keeping app (e.g., Excel) • Accounting software (entry-level) • WhatsApp for communication • Some digital payments (M-Pesa) • Considering precision ag tools |
| HIGH | 61-80 | • Paper-based farm records • Manual bookkeeping or basic spreadsheets • Phone calls or SMS only • Cash-only transactions • No precision ag tools |
| CRITICAL | 81-100 | • No farm record-keeping • No financial tracking • No digital communication • Complete reliance on cash • No awareness of digital tools |
- 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
| Risk Level | Score | Criteria |
|---|---|---|
| LOW | 0-30 | • 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 |
| MODERATE | 31-60 | • 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 |
| HIGH | 61-80 | • Minimal data analysis (ad-hoc, infrequent) • No regular reporting • No analytics capability • No data analysis skills • Decisions based on intuition, not data |
| CRITICAL | 81-100 | • No data analysis • No reporting or KPIs • No awareness of analytics • No data skills • Complete reliance on guesswork |
- 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
IT Infrastructure Upgrade
IT Infrastructure Upgrade
- 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)
Data Management Improvement
Data Management Improvement
- 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
Cybersecurity Strengthening
Cybersecurity Strengthening
- 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
Digital Tools Adoption
Digital Tools Adoption
- 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)
Analytics Capability Building
Analytics Capability Building
- 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
Related Documentation
- Risk Model Overview
- Operational Risk - Technology and equipment
- Governance & Legal Risk - Reporting and transparency