Data-Driven Government

Planning and Priorities01 November 2018

GUIDING QUESTIONS

1. What data was used for decision making?

2. Who owns and manages the data?

3. What government decisions resulted from

use of the data? To what impact?

4. What role did you play in working with

government? What were the key challenges?

Case Study: CARE - Ethiopia

Case Study: Water For People Nicaragua

IVETTE MORAZÁNNicaragua Country Director

DOÑA NORMAMayor of San Rafael del Norte

What data was used for decision making?

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

2017 2018

High

Intermediate

Basic

Inadequate

Unimproved42

38

37

42

40

30

28

41

4

5

2

12

14

1

0

0

0

0

0

0

0

0

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Improved System

Protected Source

Infrastructure is in good condition

No. of users meets standards

Water available on day of visit

Down time less than 1 day per month

Meets water quality standards

Sufficient quantity

Water Service MetricsAnnual Water Service Levels

WHO OWNS AND

MANAGES THE DATA?

Municipal WASH office:

• Collects the data

• Cleans the data

• Presents and uses the data

On an annual basis

What decisions

resulted from use

of the data?

To what impact?

All 46 communities

in San Rafael del

Norte have reliable

water service.

What role did you play in working with government?

2011

• Water For People for all data collection and processing

2012-15

• Water For People with Municipal support for all data collection and processing

2016-17

• Ministry of Health for water quality sampling and analysis

• Municipal technical teams for data collection

• Water For People for data processing

2018

• Ministry of Health for water quality sampling and analysis

• Municipal technical teams for data collection and cleaning

• Water For People with data analysis

2019

• Ministry of Health for water quality sampling and analysis

• Municipal technical teams for data collection, cleaning and analysis

• Water For People with limited technical support

What were the key challenges?

• Allocation of resources – personnel and budget

• Consistent quality of enumerators

• Alignment and streamlining with national data management systems (SIASAR)

Case Study: Kenya – CARE/SweetSense

GROUP DISCUSSION

1.What challenges have you faced in your work with

governments to develop, manage, and use monitoring

systems to improve services?

2.What solutions have worked to address these or any

of the speaker-identified challenges?

3.What other ideas might be worth exploring further?

Data-Driven Government

Planning and Priorities

01 November 2018

GUIDING QUESTIONS

1. What data was used for decision making?

2. Who owns and manages the data?

3. What government decisions resulted from

use of the data? To what impact?

4. What role did you play in working with

government? What were the key challenges?

Spare parts demand and supply chain

• Demand for spare parts

• Existing supply chain

• Management of operation and maintenance

Asset, governance and functionality

inventory

What data was used for decision making?

Who owns and manages the data?

• CARE designed the data collection systems and

questionnaires for spare part study and inventory

• Woreda government staff collected the data

• CARE and government staff jointly cleaned, analyzed

and presented data at different levels

• Woreda government used the data with support from

the region and zonal governments

What decisions resulted from use of the data? To what impact?

Asset, governance and functionality inventory

• identified the water needs of different areas

• decisions on and targeting of rehabilitation as well as new

water scheme construction in marginalized areas

Spare parts demand and supply

• Engaged local private sector in spare parts supply

• Increased accessibility to and promoted community

contributions for spare parts thereby increasing demand

• Improved functionality by 7%

What role did you play in working with government?

2012

Support asset inventory at woreda level

2013

Higher level discussion on results

2016

Support expanded and updated asset inventory

Spare parts demand and supply chain study

2016-2017

Higher level discussion on results

Develop action plan

2017-2018

Encourage woreda-level retailers to stock spare parts

Support more equitable targeting to increase coverage and functionality

What were the key challenges

• Low demand for spare parts

• Lack of spare parts supply chain

• Poor operation and maintenance systems

• High non-functionality rate

• Remote kebeles marginalized and lacking access

to safe drinking water

• Poor targeting system for rehabilitation and new

water schemes

• Motivating government staff

Case Study: Water For People Nicaragua