Transcript How can Data Analytics help the Agri Sector?

How can Data Analytics help the
Agri Sector?
Dr Andrew McCarren
Suzanne McCarthy
datas.
Deductive Analytics for
Tomorrow’s Agricultural Sector
Agenda
• The Problem
• Six steps of Analytics
• The solution - Analytics
The Problem
• Current state of availability of agricultural data – multiple,
disparate sources
• Over-reliance on gut instinct
when presented with vast
amounts of data
• Results coming to late. Need
Information now not tomorrow.
• Lifting the mist, creating knowledge
“…organizations have no guide to what data they actually have in the present and
how to find it.” Tom Davenport, professor at Babson College, research fellow at
the MIT Center for Digital Business, senior adviser to Deloitte Analytics.
© DATAS @DCU
Six steps of Analysis
Stage 3
6. Results
presentation
Stage 2
3. Modelling
4. Data
Collection
5. Data
Analysis
Stage 1
1. Problem
recognition
2. Review of
previous
findings
© DATAS @DCU
• Integrating data from
multiple web sources:
Eurostat, U.S. Department
of Agriculture, UN
Comtrade
How we’re
doing it
Client
DB
• All features relevant to
Agriculture– trade, price,
production…
Extracting
Validating
Transforming
• Designing unique new
features and predictive
algorithms
Data
Warehouse
Data mining
Predictive tools
• Creating useful, actionable
knowledge.
Data
visualisation
© DATAS @DCU
WWW
Business
Intelligence
Predictions
The Solution - Analytics
The process of extracting insights
from raw data to provide valuable,
actionable insight. The power of
Analytics is limited only by the
questions we can ask:
• Find the best customers/charge
the right price.
• Understand effects of external
markets on your business.
• Identify key winning factors for
your business.
Do we think or do we know?
© DATAS @DCU
Bespoke analytics for
problem-solving
• Software to solve
a specific problem
or answer a
question
• Faster decision
making
• Give users more
power to
determine their
future
© DATAS @DCU
"Our imagination is the only limit to what we can hope to have in the future."
Charles F. Kettering
(inventor, engineer, farmer, teacher)
© DATAS @DCU