DATA ANALYTICS
Finding Data from Farm to Fork
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TO RECEIVE CPE CREDIT
Producers Transportation Processing Distribution Retail Consumers
Big Data
Information of extreme size, diversity & complexity - Gartner, Inc.
Source: http://www.gartner.com/technology/topics/big-data.jsp
Data Analytics
… processes & activities designed to obtain & evaluate data to extract useful
information & answer strategic questions ...
DEFINITIONS
Analytics applications by stakeholder
Interplay of data throughout Farm to Fork cycle Framework for implementing analytics
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1. Analytics applications by stakeholder
2. Interplay of data throughout Farm to Fork cycle 3. Framework for implementing analytics
4. Q&A
PRESENTATION ROADMAP
• Food safety
• Precision agriculture
• Crop optimization
• Herd optimization
• Operational efficiencies & effectiveness
KEY TOPICS
• Production dates • Harvest information • Ability to contact Processors DistributorsFOOD SAFETY
6 • Weather patterns (historic & predicted)
• Soil & air quality
• Crop maturity
• Resource availability
PRECISION AGRICULTURE
• Controlled environment farming
• Seed planting metrics
Frequency
Concentrations
Depth
• Disease identification
• Breeding cycles
• Movement tracking
• Predictive modeling of feed inputs
• Health issues
HERD OPTIMIZATION
• Equipment optimization • Predictive maintenance • Resource allocation • Weather-related impacts • Cost management8
Transportation
• Operational efficiencies & effectiveness
• Time-based metrics
• Equipment downtime
• Predictive maintenance
• Route optimization
OPERATIONAL EFFICIENCIES & EFFECTIVENESS
• Farm to truck
• Truck to processor
• Time in transit
• Loading/offloading time
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Processing
• Operational efficiencies & effectiveness
• Food safety
• Waste & spoilage
• Equipment usage
• Predictive maintenance
• Product movement
OPERATIONAL EFFICIENCIES & EFFECTIVENESS
• Processing date/time • Environmental details • Related products • Ability to contact Producers
FOOD SAFETY
12 • Lost product
• Spoilage due to machine downtime
• Quality control monitoring
WASTE & SPOILAGE
• Performance metrics
• Operational efficiencies & effectiveness
KEY TOPICS
• Processor to retail time
• Time on truck
• Distribution environment
External conditions
Internal conditions
14 • Equipment downtime
• Route optimization
• Predictive maintenance
OPERATIONAL EFFICIENCIES & EFFECTIVENESS
• Loyalty programs • In-store beacons • Spoilage • Purchasing metrics
KEY TOPICS
• Expectation of rewards • Customer retention Personalized communications Targeted marketing In-store experiencesLOYALTY PROGRAMS
16 • Identification of shopping patterns
Customize store layout
Product placement
• Direct consumer engagement
• Integration with loyalty program
IN-STORE BEACONS
• Product performance
Available selling days
Average days to sell
Impact of conditions on performance
• Sourcing decisions
• Patterns in purchasing
Seasonality
Correlation to weather
Correlation to other major events
Local-market intricacies
• Demographic analysis
• Product placement
PURCHASING METRICS
18 • Source-to-consumer traceability • Food safety • Product feedback • Consumer engagement
KEY TOPICS
• Consumer engagement with producer
• Develops informed consumers
• Critical for food safety concerns
• Purchase date & location
• Direct communication with consumers
• Recall notifications
FOOD SAFETY
• Interaction between consumers & producers
• Drives consumer engagement & brand loyalty
• Creates data useful in all
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1. Analytics applications by stakeholder
2. Interplay of data throughout Farm to Fork cycle 3. Framework for implementing analytics
4. Q&A
PRESENTATION ROADMAP
Producers Transportation Processing Distribution Retail Consumers• Food safety
• Source-to-consumer traceability
• Crop optimization
OPPORTUNITIES FOR DATA INTEGRATION
1. Analytics applications by stakeholder
2. Interplay of data throughout Farm to Fork cycle 3. Framework for implementing analytics
4. Q&A
22 Strategic Question Define Objectives Obtain Data Develop Procedures Analyze Results Manage Results
IMPLEMENTATION FRAMEWORK
Strategic Question Define Objectives Obtain Data Develop Procedures Analyze Results Manage ResultsIMPLEMENTATION FRAMEWORK
Strategic Question Define Objectives Obtain Data Develop Procedures Analyze Results Manage Results
IMPLEMENTATION FRAMEWORK
Strategic Question Define Objectives Manage ResultsIMPLEMENTATION FRAMEWORK
24 Strategic Question Define Objectives Obtain Data Develop Procedures Analyze Results Manage Results
IMPLEMENTATION FRAMEWORK
Strategic Question Define Objectives Obtain Data Develop Procedures Analyze Results Manage ResultsIMPLEMENTATION FRAMEWORK
Strategic Question Define Objectives Obtain Data Develop Procedures Analyze Results Manage Results
IMPLEMENTATION FRAMEWORK
Strategic Question Define Objectives Manage ResultsIMPLEMENTATION FRAMEWORK
26 • http://www.precisionag.com
• Can you Taste the Algorithm in this Arugula?
What’s the Point – podcast
RESOURCES
1. Analytics applications by stakeholder
2. Interplay of data throughout Farm to Fork cycle 3. Framework for implementing analytics
4. Q&A
QUESTIONS?
CONTINUING PROFESSIONAL EDUCATION (CPE) CREDITS
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The information in BKD webinars is presented by BKD professionals, but applying specific information to your situation requires careful consideration of facts & circumstances. Consult your BKD advisor before acting on any matters covered in these webinars.
28 • CPE credit may be awarded upon verification of participant
attendance
• For questions, concerns or comments regarding CPE credit, please email BKD Learning & Development Department at training@bkd.com
CPE CREDIT
THANK YOU!
FOR MORE INFORMATIONJeremy R. Clopton, CPA, CFE, ACDA, CIDA jclopton@bkd.com
417.865.8701 @JeremyClopton