leveraging mapping for the rural economy spark presentation – 25 th november 2013

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Leveraging Mapping for the Rural Economy Spark Presentation – 25 th November 2013

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Page 1: Leveraging Mapping for the Rural Economy Spark Presentation – 25 th November 2013

Leveraging Mapping for the Rural Economy

Spark Presentation – 25th November 2013

Page 2: Leveraging Mapping for the Rural Economy Spark Presentation – 25 th November 2013

“GDP study for Ariyalur and Pudukottai!!” – Shilpa tells Gayathri

“Let’s digitize data!!” – Noble Joseph

“ODK!!” – Amit Shah

“Branch page, hub page, entity page!!” – Shilpa and Gayathri

“OK, let’s get cracking!!” – Shilpa and Gayathri

Genesis

Page 3: Leveraging Mapping for the Rural Economy Spark Presentation – 25 th November 2013

• Expansion mapping in the past – Villages being left out – Population numbers being collected at different levels – Natural congregation of people was not where branches

were located

• Mapping in Thenaaru and Vellaaru KGFSs– Optimal demarcation of service areas based on an

algorithm– Household mapping in every branch service area

Setting the context

Page 4: Leveraging Mapping for the Rural Economy Spark Presentation – 25 th November 2013

• Mapping in Thenpennaiaaru KGFS– Remote rural criteria – Efficient branch network – Key infrastructure network

Expansion Criteria Mapping

• Panchayat Name, Block Name• Key industries, tourist spots, markets, Key occupations• Nearest urban location, Frequency of Public transport• Duration of power cuts• Mobile networks available• Panchayat office key contact details

Panchayat

• Population• Number of households• Number of voters• Distance, time taken and mode to reach panchayat office

Village

• Centre of each village• Banks• Health centres, schools, Ration shops• Bus stops, market places• Mobile network towers, BSNL exchanges• Possible branch premise locations• Other – temples, road junctions, police stations, railway station

Geocoded Features

Page 5: Leveraging Mapping for the Rural Economy Spark Presentation – 25 th November 2013

How was the data collected?

Panchayat approach – A panchayat is an administrative unit consisting of 6 to 7 villages. It is the unit to be approached to obtain population data for each village.

Village • Population• Geocodes

Primary Health Centre• Geocodes

School • Geocodes• Population check with

school headmasterOther Key Infrastructure• Geocodes

Page 6: Leveraging Mapping for the Rural Economy Spark Presentation – 25 th November 2013

What tool was used to collect data?

Data input

KGFS entity ODK server

Data

• Entity page• Hub page

Page 7: Leveraging Mapping for the Rural Economy Spark Presentation – 25 th November 2013

How long did it take?

BLOCK29 Mar 2013

Apr 2013

May 2013

Till 25 Jun

2013

Total Panchayats

Total Villages

Shoolagiri  - -  -  40 40 280

Kaveripattinam -  10 26 -  36 267

Bargur  - 35  - -  35 259

Uthangarai 6 28     34 203

Krishnagiri  -   30   30 201

Veppanapalli  -   24 3 27 171

Mathur 1 23     24 134

Kelamangalam  -     15 15 99

Grand Total 7 96 80 58 241 1614

Page 8: Leveraging Mapping for the Rural Economy Spark Presentation – 25 th November 2013

Enough talking, show the map!

Page 9: Leveraging Mapping for the Rural Economy Spark Presentation – 25 th November 2013

• All mapping in the service area under one umbrella – Household mapping – Enterprises mapping

• What you see– Other economic potential mapping

• What you hear– Rules for whom to ask – How to ask – How to triangulate

Service Area Mapping

Page 10: Leveraging Mapping for the Rural Economy Spark Presentation – 25 th November 2013

Example of Venkatasamudram

Row LabelsCount of meta:instanceID

household 1295enterprise 89new_street 29infra 16kgfs_branch 1Grand Total 1433

see_ask saw

Row LabelsCount of meta:instanceID

grocery_store 18other 7fancy_store 4electronics_store 4medical_store 4water_shop 3xerox 3petty_shop 3spare_parts_shop 2butcher_shop 1clothing_store 1mobile_recharge 1Grand Total 51

Page 11: Leveraging Mapping for the Rural Economy Spark Presentation – 25 th November 2013

• Benefits of using ODK – Real time data monitoring and improving data collection – All data on our server– Easy export to excel and kml

• Benefits of spatial MIS – Strengthening the bottom up approach – Take a transect walk around the service area sitting here – Provide customized solutions and tailor made products

that suit our end customers

Conclusion