Page Comparison

Vineet Singh

rikin (Unlicensed)

Razak K M Shreya Agarwal (Unlicensed) Andrew Hicks (Unlicensed)

Stuti Verma (Unlicensed) Mayank (Unlicensed)

1

Demo overview

Video explaining the mock use case and steps involved

• focus on why data is to be shared and restrictions required

  • User will be provided and in this mock use case is owner of a file that has farmer/ produce details

  • DG is the owner of another file that has farmer/ activity details

  • There is a third consumer who wants to combine farmer/ produce with farmer/ activity details for analytics

  • The consumer needs to join based on farmer identifier but needs to aggregate and remove the identifiers so need access to raw data

  • User wants to protect and hence there is a node.js app that does joining and aggregation and outputs two or more files

• tell that this is a mock use case with dummy data

Spends 45-60 seconds and move to next

2

Preparation material

Two One google sheets sheet created with dummy data in view mode that has PII data (farmer identifiers, produce details like crop, yield, grade etc)

Application - a node,.js code snippet that joins two tables and outputs four more than two tables with de-anonymised data

Sees the data, understand the different fields

3

Configure connector

Connector 1 for file 1 farmer/ activity is preconfigured

Connector 2 for file 2 is asked to be configured:

1. Select pre- selected app: google sheet - optional

2. Add pre-filled google sheet address

3. Show preview - optional

4. Next step

Connector is configured by the user

Notes:

1. Connector is owned by DG (run at DG’s infra)

2. Need google sheet integration

4

Usage policy

Configure usage policy:

1. Select custom app

2. Select available app from dropdownpre-selected node.js app

3. Check box for the output files - just to give some sort of feel of configuring some app (optional)

4. check box for where user wants to receive files 0 email or browser

Usage policy is configured

Select destination

Ask for email

5

Output

Two options:

1. email and send the output

2. or just show in browser

User gets the output file as email or browser

Acquire new enterprise customers

Increased signups

Increased demo requests

Gain insights

Requests for customisation

Requests for usage policies

Government/ research/ grant officers

senior officer looking at increasing impact using data

senior officer researching tools for increased value of grants

For profit companies

product and program manager looking at tools for integrating data

engineering person looking at how FS works

Technology/ business consultants

consultants looking to advise government programs on data centric solution

engineering person exploring a specific tool that shows the promise

Top-Line message

Product promise

Customer pain points

Product proof points

Internal comms