Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
Geographic tools and M&E:Linking data to support M&E
Data Linking
Many Data Streams
Challenge to break down silos§ Data comparability§ Different reporting systems§ Different data owners   But it can be well...
Value of linking:Gives insight into data byadding additional contextMaximizes use of dataPromotes opportunities toleverage...
M&E and GIS§ Programs don’t exist in vacuum§ People may be touched by multiple programs or  influenced by the world around...
M&E is evolving§ Limitations of experimental design§ Growth of district based evaluation platforms
M&E and GIS§ Geography as basis for evaluation§ Multiple programs that can influence outcome§ Link data to better understa...
GIS is a tool that can facilitate evaluation § Linking data § Producing tools for   analysis and   understanding of   data...
GIS and M&E
Programmatic successes dependon reaching the right places, theright people with the rightintervention
Who is doing what,where in my country? http://goo.gl/Zw4Qv
M&E data inform policy                                                Health outcomes                                 x   ...
x x xx x x           x x x           x x x   x x x   x x x           x x x           x x x
‣   It can quickly become challenging to see    opportunities for integration and coordination‣   There may not be common ...
Example: Kenya OVC Program               MEASURE Evaluation               worked with US               Mission in Kenya to...
Data Snapshot
Many OVC Data Streams• Stove-piped• Difficult for stakeholders to accessdata• Challenge to integrate data because ofdata q...
Kenya OVC Data ModelSimple approach thatmakes it possible tointegrate program dataGeography (district) is thekey
Barriers to linking data
Dist rict             HH Served by C by                                                                                   ...
Kenya Data Model§ Six elements that allow data to be linked together§ Geography§ Services provided§ Funder§ Implementing o...
Rural Poverty Es mates2003 and Percent                                                                             Orphans...
§ By linking data from multiple stakeholders it was  possible to see patterns that were not observed  without linking§ Imp...
Key points§ Evaluation is evolving§ Using geography (and GIS) to link data can  strengthen M&E§ Many barriers to linking d...
Thank You
Geographic Tools and M&E: Linking Data to Support M&E
Geographic Tools and M&E: Linking Data to Support M&E
Geographic Tools and M&E: Linking Data to Support M&E
Geographic Tools and M&E: Linking Data to Support M&E
Geographic Tools and M&E: Linking Data to Support M&E
Upcoming SlideShare
Loading in …5
×

Geographic Tools and M&E: Linking Data to Support M&E

September 2012 GIS ToT Webinar

  • Login to see the comments

Geographic Tools and M&E: Linking Data to Support M&E

  1. 1. Geographic tools and M&E:Linking data to support M&E
  2. 2. Data Linking
  3. 3. Many Data Streams
  4. 4. Challenge to break down silos§ Data comparability§ Different reporting systems§ Different data owners But it can be well worth the effort to link data
  5. 5. Value of linking:Gives insight into data byadding additional contextMaximizes use of dataPromotes opportunities toleverage efforts andminimize duplication ofeffort
  6. 6. M&E and GIS§ Programs don’t exist in vacuum§ People may be touched by multiple programs or influenced by the world around them§ Strengthen M&E by using that fact.
  7. 7. M&E is evolving§ Limitations of experimental design§ Growth of district based evaluation platforms
  8. 8. M&E and GIS§ Geography as basis for evaluation§ Multiple programs that can influence outcome§ Link data to better understand program and outcomes§ Spatial analysis techniques can help with deriving outcomes measures
  9. 9. GIS is a tool that can facilitate evaluation § Linking data § Producing tools for analysis and understanding of dataGIS can support evaluation even if no maps are produced
  10. 10. GIS and M&E
  11. 11. Programmatic successes dependon reaching the right places, theright people with the rightintervention
  12. 12. Who is doing what,where in my country? http://goo.gl/Zw4Qv
  13. 13. M&E data inform policy Health outcomes x x x x x xDecision makersidentify priorities and Programsupport programs serves Program is managed by an clients organization
  14. 14. x x xx x x x x x x x x x x x x x x x x x x x x
  15. 15. ‣ It can quickly become challenging to see opportunities for integration and coordination‣ There may not be common stakeholders participating in every step of the process
  16. 16. Example: Kenya OVC Program MEASURE Evaluation worked with US Mission in Kenya to improve interoperability of OVC data from 3 stakeholders
  17. 17. Data Snapshot
  18. 18. Many OVC Data Streams• Stove-piped• Difficult for stakeholders to accessdata• Challenge to integrate data because ofdata quality issues
  19. 19. Kenya OVC Data ModelSimple approach thatmakes it possible tointegrate program dataGeography (district) is thekey
  20. 20. Barriers to linking data
  21. 21. Dist rict HH Served by C by T Integrating 2013 Kuale 1604 data using a Bondo 2000 common data Nairobi Town 2229 model Nakuru 3473(Districtsselected for illustra on purposes) Cash Transfer Database District Orphan Est. 07 District OVC Served Kwale 21821 by PEPFAR Bondo 21804 Kenya Data Kwale 54 Nairobi 471204 Model Bondo 5015 Nakuru 108109 Nairobi 2500 NACCPrevalence Report Nukuru 7074 Integrated Data Table PEPFARKPMS District District Code Orphan Est. 07 OVC Served by PEPFAR HH Served by CT by 2013 Kwale 1001 21821 54 1604 Bondo 1002 21804 5015 2000 Nairobi 1003 471204 2500 2229 Nakuru 1004 108109 7074 3473
  22. 22. Kenya Data Model§ Six elements that allow data to be linked together§ Geography§ Services provided§ Funder§ Implementing organization name§ Timeframe§ Number of beneficiaries
  23. 23. Rural Poverty Es mates2003 and Percent OrphansServed by PEPFAR2009, Nyanza Province Kisumu Siaya Nyando Bondo Rachuonyo Suba Nyamira Homa Bay Cash Transfer District Kisii Central Gucha Migori (South Kisii) KuriaMap produced May 2010Poverty Source: Geographic Dimensions of Well Being in Kenya Report, Kenya Cent. Bur. of Stat., 2003Percent Orphans Served Calculated by dividing 2009 KPMS Number of Orphans Served (table 8.1) byEstimated Number of OVC from NACC Prevalence Report, 2007 (Appx. 3)
  24. 24. § By linking data from multiple stakeholders it was possible to see patterns that were not observed without linking§ Important to note that there may be legitimate reasons why there were no services in Kuria – map doesn’t provide all the answers just points in a direction for further study.
  25. 25. Key points§ Evaluation is evolving§ Using geography (and GIS) to link data can strengthen M&E§ Many barriers to linking data§ Technical barriers may be easy to overcome, non-technical barriers may be more challenging§ Any questions?
  26. 26. Thank You

×