Our Ongoing Journey from No Data

to Data Science

Presented at Data for Social Innovation 15/12/2016By Paul Lam (@quantisan), InGrower Mobile

Anders Frigaard, Biz Dev

17 years international development experience, Danish Agricultural Council, MBA, and Agro-Economist

Næsgaard, Business Institute Aalborg

Paul Lam, Product Manager

Software engineer with EE and Biomedical Eng. background, VP Engineering Motiva, CTO Spokepoint, Data Scientist uSwitch

Waterloo, U Toronto

Alberto, 19Entrepreneur

Jorge, 22Entrepreneur

We are an agribusiness school

Data Entry and Resource Management

Data science, so what?

Profitability

Source: Wikipedia

Year 2

Year 2

Year 4

Year 4

Year 6

Year 6

We collect data to enable new opportunities

input outputinput outputinput outputinput outputinput outputinput outputinput output

input outputinput outputinput outputinput outputinput outputinput outputinput output

InGrower

input output

input outputinput outputinput outputinput outputinput outputinput output

output

Accessibility

Reduce Applicant Requirement

Remote Support

Long-term Support

We share data to reduce barriers

Before

Current

Scalability

Combining offline training + online support

- gradudate- Saved

US$5000

- Start home business

- 800 chickens

- Start school

- Start training- Seed capital

2 years0 month 2 months

- Start home business- 100 chickens- Ongoing support +

training online

- Start school

0 month 3 months

- Graduate- Seed

capital

Current

2017

6 months

We use data to scale social impact

So what?

Consider the humans - Jer Thorp

“It helps me make money”

Paul Lampaul@ingrower.com@quantisan

Thank you!