Data-Driven Government Planning and Priorities · IVETTE MORAZÁN Nicaragua Country Director DOÑA...
Transcript of Data-Driven Government Planning and Priorities · IVETTE MORAZÁN Nicaragua Country Director DOÑA...
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