DDW Data Services

Overview

DDW Data Services provides enterprise-grade access to standardized dairy farm data through Individual Cow Data Marts (ICDM), a comprehensive KPI Library of 130+ performance indicators, and RESTful Business APIs. Designed for nutrition companies, genetics firms, animal health organizations, and technology providers, DDW Data Services enables integration of high-quality dairy data into corporate analytics, products, and services.

Snapshot

Product: DDW Data Services (ICDM, KPI Library, APIs)

Company: Dairy Data Warehouse (DDW)

Category: Data Integration & Middleware

Target Users: Nutrition companies, genetics firms, animal health organizations, technology providers, research institutions

Availability: Enterprise licensing, custom integration support, data from 50+ countries

The Problem DDW Data Services Solves

Enterprise dairy industry organizations struggle with farm data access:

Data fragmentation: Every farm uses different software with incompatible formats, making aggregation nearly impossible

Integration costs: Direct integration with each farm software is expensive and slow to scale

Limited reach: Can't efficiently access data from thousands of farms across multiple regions

Quality challenges: Raw farm data requires extensive cleaning and validation before use

Consent complexity: GDPR and farmer privacy requirements create legal and operational barriers

Maintenance burden: Maintaining dozens of individual integrations requires ongoing engineering effort

DDW Data Services provides standardized, consented, quality-assured data at scale through a single integration point.

How DDW Data Services Works

Step 1: Enterprise Agreement

DDW establishes commercial terms based on data volume, use cases, and support requirements.

Step 2: Technical Scoping

DDW solution architects work with your team to define:

Data domains needed (production, reproduction, health, etc.)

Delivery format and frequency requirements

Integration architecture and authentication

Farmer consent workflow integration

Step 3: Sandbox Development

Your developers receive sandbox API credentials to build and test integration:

Full API documentation and code samples

Test data sets mimicking production

Technical support during development

Validation testing before go-live

Step 4: Farmer Consent Integration

Implement farmer consent workflow:

DDW provides consent management APIs

Farmers authorize specific data access

Consent recorded in audit trail

Revocation handled automatically

Step 5: Production Launch

Move to production environment:

Production API credentials issued

Rate limits and quotas configured

Monitoring and alerting established

Support escalation path defined

Step 6: Ongoing Partnership

Continuous optimization and expansion:

Quarterly business reviews

Product roadmap input

Early access to new features

Dedicated account management

Key Features

Individual Cow Data Marts (ICDM)

Pre-organized data sets by functional domain, optimized for specific use cases:

Movement Mart: Pen changes, dry-off, culling, fresh cow entries, group movements

Reproduction Mart: Heat detection, breeding events, pregnancy diagnosis, calving records, reproductive protocols

Production Mart: Daily milk weights, test day results, components (fat, protein, lactose), SCC

Udder Health Mart: Mastitis events, SCC patterns, treatment records, cure rates

Feeding Mart: TMR batch data, feeding events, intake records, ration changes

Each mart includes:

Standardized field definitions and units

Quality scores for each record

Historical data going back years

Regular refresh on defined schedule

KPI Library (130+ Indicators)

Pre-calculated performance metrics ready for immediate use:

Production KPIs: Rolling herd average, peak milk, 305ME, lactation curves, persistency

Reproduction KPIs: Conception rate, pregnancy rate, days open, services per conception, heat detection rate

Udder Health KPIs: Linear score, new infection rate, chronic rate, bulk tank SCC, cure rate

Youngstock KPIs: Pre-weaning mortality, average daily gain, weaning weight, first calving age

Transition KPIs: Fresh cow events, ketosis incidence, DA rate, retained placenta rate

Each KPI includes:

Documented calculation methodology

Consistent definitions across all farms

Comparable across regions and time periods

Regular updates as new methodologies emerge

RESTful Business APIs

Modern, developer-friendly programmatic access:

JSON and XML response format options

OAuth 2.0 authentication and authorization

Rate limiting with configurable quotas

Pagination for large result sets

Filtering by date, farm, animal, metric

Webhook notifications for data updates

OpenAPI (Swagger) documentation

Alarm Engine

Customizable monitoring and alerting:

Threshold-based triggers for any KPI or data point

Webhook delivery to your systems

Batch and real-time notification options

Custom alarm definitions for specific use cases

Escalation rules for critical conditions

Benchmarking Engine

Comparative analytics across populations:

Peer group definitions by herd size, region, management type

Regional benchmarks adjusted for local conditions

Temporal comparisons year-over-year, quarter-over-quarter

Percentile rankings for any metric

Anonymous aggregation protecting individual farm identity

Farmer Consent Management

GDPR-compliant data access control:

Consent APIs for integrating authorization into your applications

Granular permissions farmers control exactly what's shared

Audit trail complete record of consent and access

Revocation handling automatic removal when consent withdrawn

Expiration support time-limited access grants

Proven Results

Cargill Partnership

DDW's exclusive global agreement with Cargill demonstrates Data Services at scale:

Access to individual cow data combined with TMR information

Automatic feed mixer wagon load adjustments based on production data

Correlation of feeding programs with milk production outcomes

Feed efficiency tracking across customer operations globally

John Deere & DeLaval Collaboration

Milk Sustainability Center integration shows cross-industry value:

Combines production data with agronomic and milking system data

Enables carbon footprint calculation at farm level

Tracks sustainability KPIs for corporate reporting

Supports farmer improvement programs

Research Institution Usage

Multiple universities and research organizations leverage DDW data:

Population-level studies on disease patterns

Genetic evaluation model development

Management practice impact analysis

Industry benchmark publications

Ideal Users

Nutrition Companies

Product efficacy validation track outcomes across customer populations

Feeding program optimization correlate nutrition with production

Field staff enablement arm advisors with data-driven insights

R&D data access fuel product development with real-world data

Genetics Companies

Breeding program monitoring track genetic merit expression

Genomic validation compare predictions to actual phenotypes

Selection tool development build data-driven breeding recommendations

Industry benchmarking understand genetic progress trends

Animal Health Organizations

Drug efficacy studies validate treatment outcomes at scale

Pharmacovigilance monitor adverse event patterns

Disease surveillance detect emerging health threats

Health program development design evidence-based protocols

Technology Providers

Application development build farm management apps with standardized data

Analytics platforms power dashboards with quality data

AI/ML training develop predictive models with clean data sets

Integration services connect disparate systems through DDW

Research Institutions

Population studies access anonymized large-scale data

Model development train and validate analytical models

Industry analysis publish benchmarks and trends

Academic collaboration partner on dairy science advancement

Technical Specifications

API Architecture

Protocol: HTTPS REST with TLS 1.3 encryption

Authentication: OAuth 2.0 with JWT tokens

Authorization: Scope-based access control

Documentation: OpenAPI 3.0 (Swagger) specification

Versioning: Semantic versioning with deprecation notices

Data Delivery Options

Real-time API: Synchronous queries for current data

Batch exports: Scheduled bulk data delivery

Streaming: High-volume real-time feeds (premium)

Webhooks: Push notifications for data changes

File delivery: SFTP for legacy system integration

Response Formats

JSON: Primary format, recommended for new development

XML: Available for legacy system compatibility

CSV: Bulk export option for spreadsheet analysis

Parquet: Large-scale analytics (premium)

Security & Compliance

TLS 1.3 encryption in transit

AES-256 encryption at rest

SOC 2 Type II compliance

GDPR compliant data handling

API key rotation supported

IP whitelisting optional

Audit logging comprehensive access records

Service Level Agreement

Uptime: 99.9% availability guarantee

Response time: <500ms for 95th percentile

Support: 24/7 monitoring, business hours response

Incident response: Defined escalation procedures

Getting Started

Step 1: Initial Contact

Reach out to DDW enterprise sales to discuss your use case and requirements.

Step 2: Discovery Session

DDW solution architects conduct technical discovery to understand:

Your data requirements and use cases

Integration architecture and timeline

Volume expectations and scaling needs

Compliance and security requirements

Step 3: Commercial Agreement

Negotiate enterprise licensing based on:

Data volume (farms, cows, records)

API call volumes

Feature requirements

Support level

Step 4: Technical Onboarding

Your development team receives:

Sandbox environment credentials

API documentation and code samples

Integration architecture guidance

Technical support contact

Step 5: Development & Testing

Build and validate your integration:

Develop against sandbox APIs

Test with representative data

Validate consent workflow

Performance and load testing

Step 6: Production Deployment

Go live with production access:

Production credentials issued

Monitoring established

Support escalation confirmed

Success metrics defined

Training & Support

Technical Onboarding

API documentation comprehensive reference materials

Code samples in multiple languages (Python, JavaScript, C#, Java)

Integration architecture consultation with DDW engineers

Best practices guide for optimal implementation

Developer Resources

Sandbox environment full-featured test system

Sample data sets mimicking production

SDK libraries for common platforms

Postman collections for API exploration

Ongoing Partnership

Dedicated account manager for enterprise customers

Quarterly business reviews performance and roadmap

Product roadmap input influence future development

Early access program preview new features

Developer community connect with other integrators

Support Channels

Email: enterprise-support@dairydatawarehouse.com

Phone: +31 592 798 995

Hours: 24/7 monitoring, business hours response for non-critical

Ticketing: Enterprise support portal

Pricing

DDW Data Services uses enterprise licensing based on:

Data volume: Number of farms, cows, and records accessed

API volume: Monthly API call allocation

Feature tier: Standard vs. premium (streaming, advanced analytics)

Support tier: Standard vs. dedicated account management

Minimum commitments apply for enterprise agreements.

Contact DDW for enterprise pricing:

Email: inquiries@dairydatawarehouse.com

Phone: +31 592 798 995

Competitive Advantages

Pros

Global scale access to farms in 50+ countries through single integration

Data quality validated, standardized, scored for reliability

Farmer consent GDPR-compliant authorization framework built in

130+ KPIs pre-calculated metrics ready for immediate use

Proven partners trusted by Cargill, John Deere, DeLaval, Rovecom

Integration support dedicated technical team for implementation

Future-proof single integration covers expanding farm network

Domain expertise DDW understands dairy data deeply

Considerations

Enterprise licensing with minimum volume commitments

Farmer consent required before accessing their data

Custom integration development effort required

Pricing scales with data volume accessed

Strategic Partnerships

DDW Data Services powers industry-leading applications:

Cargill

Scope: Exclusive global animal nutrition data agreement

Use case: Feed optimization, efficiency tracking, advisor enablement

Scale: Thousands of farms across multiple continents

John Deere

Scope: Milk Sustainability Center integration

Use case: Carbon footprint tracking, sustainability reporting

Collaboration: Joint product development with DeLaval

DeLaval

Scope: Milking system data integration

Use case: Equipment performance correlation, milk quality

Collaboration: Milk Sustainability Center partnership

Rovecom

Scope: DairyInsight platform integration

Use case: Cooperative member farm monitoring

Scale: Major Dutch dairy cooperative

Contact Information

Website: [dairydatawarehouse.com](https://www.dairydatawarehouse.com)

Enterprise Sales: inquiries@dairydatawarehouse.com

Enterprise Support: enterprise-support@dairydatawarehouse.com

Phone: +31 592 798 995

Hours: Monday-Friday, 9am-5pm CET

LinkedIn: [Dairy Data Warehouse](https://www.linkedin.com/company/dairy-data-warehouse)

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DDW Data Services: Enterprise-grade dairy data. Standardized. Consented. Scaled.