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rdex
Tom Zeppenfeldt   Ophileon
ODDC Nairobi, June 28th 2012
Why Ordex?

Pain                                        Relief (≠ panacea)
   Lots of money (up to MM) & time (up        Generic, cloud hosted, flexible for
    to Ys) are spent on bespoke planning,       max 3 promille of (project
    monitoring and reporting (PM&R)             /programme) budget with 90+ % of
    systems.                                    functionality.

   No way to easily discover / exchange       Growing library, easy
    / compare data.                             discovery, standard export/imports.

   Data conversion difficult and labour       Single format, conversion not
    intensive.                                  necessary.

   Duplication means choosing between         Converging, crowd-rated open
    unknown alternatives. Everybody             datasets. Moving towards
    collects again.                             specialization in data collection.
Data : content varies, structure doesn’t (well, for at least 95 % of data)

Expected rainfall in May 2013 in Ruzizi District is 185 mm

Targeted income for farmer households from agriculture in Sikasso Region for
2015 is 3,000 USD

Realized number of producers in Maize – Kyatenga in 2012 is 7,421

Planned number of women trained in accounting in Peshawar in 2011 was 25

Estimated CO2 emission for China in 1992 is 2,960,000 kt

Calculated turnover for MaizeMill Ltd. for Q3 - 2010 is 34,621 USD

Projected health service quality score for Comoe Province in 2015 is “Good”


 Point of interest   +   Variable   +   Period   +   Value   +   Modus   +   Activity   = datapoint
Ordex : the big plan


Open data
 WorldBank
 CKAN
 DFID
 Projects
 National Statistics
    Institutes
   …..                                   Ordex
                        Conversion to                  Databrowser
                                        Search index
                         datapoints

“My” data
 Planning                                               Report
 Execution                                             generator
 Output                 Data series    Datapoints
 Effects
 Impacts
 Context                                               Technical
                        Direct entry       Alerts       interface
                                                          (API)
Ordex : where we are now


Open data
 WorldBank
 CKAN
 DFID
 Projects
 National Statistics
    Institutes
   …..                                   Ordex
                        Conversion to                  Databrowser
                                        Search index
                         datapoints

“My” data
 Planning                                               Report
 Execution                                             generator
 Output                 Data series    Datapoints
 Outcome
 Impacts
 Context                                               Technical
                        Direct entry       Alerts       interface
                                                          (API)
Ordex : implementation in Catalist2 (2012- 2016 : Rwanda, Burundi, DRC)

 Objectives

    Promote the intensification of sustainable agricultural production
    Strengthen farm-to-market linkages
    Expand marketing opportunities for agricultural products
    Promote the improvement of regional economic collaboration
 By 2016
    Large scale application of ISFM techniques
    Improved food security situation
    Increased income from surplus production of commodities
    Linking smallholder production to SME and agro-food companies
    1,000,000 farmer households in about 200 “agro-business clusters”
 Ophileon

    Support for indicator definition and data collection work plan
    Provide hosted platform for PM&R (Ordex)
Home   News     Latest additions     Reports    Setup     Login   Sign up


   rdex
    1,098,023 datapoints waiting to be used




Maize 2012               What are you looking for?                               Reset

Or use these filters
Point of interest           Search             Variable                     Search
AfricaAdmin (53)                               Agriculture (810)
Companies (5)                                  Agriculture & Rural Development (67,816)
Websites (576)                                 Aid Effectiveness (96,306)
WorldAdmin (1,098,023)                         Business Financials (5)
                                               Climate Change (162,177)
Period                      Search             Demographics (5,047)
                                               Economic Development (145)
1960 (54,491)                                  Economic Policy & External Debt (125,145)
1964 (54,497)                                  Economics(16)
1965 (54,497)                                  Education (131,355)
1970 (54,493)
1975 (54,490)                                  Modus                        Search
1976 (1)
1977 (1)                                       Measured (1,089,736)
1978 (1)                                       Planned (533)
1980 (54,370)                                  Estimated (490)
1985 (54,375)                                  Projected (164)
Home    News   Latest additions   Reports   Setup   Login   Sign up


rdex
1,098,023 datapoints waiting to be used
Home    News   Latest additions   Reports   Setup   Login   Sign up


rdex
1,098,023 datapoints waiting to be used
Home    News   Latest additions   Reports   Setup   Login   Sign up


rdex
1,098,023 datapoints waiting to be used
Home   News   Latest additions   Reports   Setup   Login   Sign up


            rdex
            1,098,023 datapoints waiting to be used


Report                          Action                            Parameters
Training of Trainers            Run
Percentage ISFM                 Run
Planned vs realized             Run
Planning 2012 – 1016            Run
Targets ISM                     Run

  Output
Home    News   Latest additions   Reports   Setup   Login   Sign up


         rdex
         1,098,023 datapoints waiting to be used



../api/selectdatapoints/modusid/6/variablecode/numprod
Ordex : pros and cons (“business case”)

 Development organizations / projects / NGOs

    Spend less on PM&R (tooling). Spend more on other things.
    Better data-quality leads to better decisions and less failure.
    Better p.r. through transparency. Helps to get things funded.
    Additional training (using Ordex) and consulting (indicator definition)
    Transparency also means risks that need to be managed.
Ordex : Challenges

 Technical / Development

    High performance vs. generic vs multi-dimensional
    Code quality & documentation
    API development
    Search index optimization
    UX improvement
 Organizational

    More people on board
    Embedding in larger structure
 Financial

    Current development funded by Catalist (30%) and Ophileon (70%)
    Additional funding needed, preferably from clients
Ordex : Challenges (continued)

 Policy

    Will data really be open?
    Who is ready to share?

 Conceptual

    Indicator / variable definition is key. “a piece of cake”
    Generic concepts are a challenge, also marketing-wise
Ordex: Summary



   Generic, cost efficient platform for PM&R

   Fast (faceted) search and information discovery

   Multi-dimensional data-entry, dynamic dataforms

   Flexible report generator

   Content available as open data for maps, graphs , apps

   Implemented in Rwanda, Burundi & DRC

   Enough challenges to keep us busy .. any help appreciated
Thanks



   Questions

   Suggestions

   Opinions




                  Tom Zeppenfeldt
                  t.zeppenfeldt@ophileon.com
                  @tomzeppenfeldt @ophileon

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Ordex at Open Data Development Camp 2012

  • 2. ODDC Nairobi, June 28th 2012
  • 3. Why Ordex? Pain Relief (≠ panacea)  Lots of money (up to MM) & time (up  Generic, cloud hosted, flexible for to Ys) are spent on bespoke planning, max 3 promille of (project monitoring and reporting (PM&R) /programme) budget with 90+ % of systems. functionality.  No way to easily discover / exchange  Growing library, easy / compare data. discovery, standard export/imports.  Data conversion difficult and labour  Single format, conversion not intensive. necessary.  Duplication means choosing between  Converging, crowd-rated open unknown alternatives. Everybody datasets. Moving towards collects again. specialization in data collection.
  • 4. Data : content varies, structure doesn’t (well, for at least 95 % of data) Expected rainfall in May 2013 in Ruzizi District is 185 mm Targeted income for farmer households from agriculture in Sikasso Region for 2015 is 3,000 USD Realized number of producers in Maize – Kyatenga in 2012 is 7,421 Planned number of women trained in accounting in Peshawar in 2011 was 25 Estimated CO2 emission for China in 1992 is 2,960,000 kt Calculated turnover for MaizeMill Ltd. for Q3 - 2010 is 34,621 USD Projected health service quality score for Comoe Province in 2015 is “Good” Point of interest + Variable + Period + Value + Modus + Activity = datapoint
  • 5. Ordex : the big plan Open data  WorldBank  CKAN  DFID  Projects  National Statistics Institutes  ….. Ordex Conversion to Databrowser Search index datapoints “My” data  Planning Report  Execution generator  Output Data series Datapoints  Effects  Impacts  Context Technical Direct entry Alerts interface (API)
  • 6. Ordex : where we are now Open data  WorldBank  CKAN  DFID  Projects  National Statistics Institutes  ….. Ordex Conversion to Databrowser Search index datapoints “My” data  Planning Report  Execution generator  Output Data series Datapoints  Outcome  Impacts  Context Technical Direct entry Alerts interface (API)
  • 7. Ordex : implementation in Catalist2 (2012- 2016 : Rwanda, Burundi, DRC) Objectives  Promote the intensification of sustainable agricultural production  Strengthen farm-to-market linkages  Expand marketing opportunities for agricultural products  Promote the improvement of regional economic collaboration By 2016  Large scale application of ISFM techniques  Improved food security situation  Increased income from surplus production of commodities  Linking smallholder production to SME and agro-food companies  1,000,000 farmer households in about 200 “agro-business clusters” Ophileon  Support for indicator definition and data collection work plan  Provide hosted platform for PM&R (Ordex)
  • 8. Home News Latest additions Reports Setup Login Sign up rdex 1,098,023 datapoints waiting to be used Maize 2012 What are you looking for? Reset Or use these filters Point of interest Search Variable Search AfricaAdmin (53) Agriculture (810) Companies (5) Agriculture & Rural Development (67,816) Websites (576) Aid Effectiveness (96,306) WorldAdmin (1,098,023) Business Financials (5) Climate Change (162,177) Period Search Demographics (5,047) Economic Development (145) 1960 (54,491) Economic Policy & External Debt (125,145) 1964 (54,497) Economics(16) 1965 (54,497) Education (131,355) 1970 (54,493) 1975 (54,490) Modus Search 1976 (1) 1977 (1) Measured (1,089,736) 1978 (1) Planned (533) 1980 (54,370) Estimated (490) 1985 (54,375) Projected (164)
  • 9. Home News Latest additions Reports Setup Login Sign up rdex 1,098,023 datapoints waiting to be used
  • 10. Home News Latest additions Reports Setup Login Sign up rdex 1,098,023 datapoints waiting to be used
  • 11. Home News Latest additions Reports Setup Login Sign up rdex 1,098,023 datapoints waiting to be used
  • 12. Home News Latest additions Reports Setup Login Sign up rdex 1,098,023 datapoints waiting to be used Report Action Parameters Training of Trainers Run Percentage ISFM Run Planned vs realized Run Planning 2012 – 1016 Run Targets ISM Run Output
  • 13. Home News Latest additions Reports Setup Login Sign up rdex 1,098,023 datapoints waiting to be used ../api/selectdatapoints/modusid/6/variablecode/numprod
  • 14. Ordex : pros and cons (“business case”) Development organizations / projects / NGOs  Spend less on PM&R (tooling). Spend more on other things.  Better data-quality leads to better decisions and less failure.  Better p.r. through transparency. Helps to get things funded.  Additional training (using Ordex) and consulting (indicator definition)  Transparency also means risks that need to be managed.
  • 15. Ordex : Challenges Technical / Development  High performance vs. generic vs multi-dimensional  Code quality & documentation  API development  Search index optimization  UX improvement Organizational  More people on board  Embedding in larger structure Financial  Current development funded by Catalist (30%) and Ophileon (70%)  Additional funding needed, preferably from clients
  • 16. Ordex : Challenges (continued) Policy  Will data really be open?  Who is ready to share? Conceptual  Indicator / variable definition is key. “a piece of cake”  Generic concepts are a challenge, also marketing-wise
  • 17. Ordex: Summary  Generic, cost efficient platform for PM&R  Fast (faceted) search and information discovery  Multi-dimensional data-entry, dynamic dataforms  Flexible report generator  Content available as open data for maps, graphs , apps  Implemented in Rwanda, Burundi & DRC  Enough challenges to keep us busy .. any help appreciated
  • 18. Thanks  Questions  Suggestions  Opinions Tom Zeppenfeldt t.zeppenfeldt@ophileon.com @tomzeppenfeldt @ophileon