Ordex at Open Data Development Camp 2012

Tom Zeppenfeldt Ophileon

rdex

ODDC Nairobi, June 28th 2012

Lots of money (up to MM) & time (up to Ys) are spent on bespoke planning, monitoring and reporting (PM&R) systems.

No way to easily discover / exchange / compare data.

Data conversion difficult and labour intensive.

Duplication means choosing between unknown alternatives. Everybody collects again.

Why Ordex?

Generic, cloud hosted, flexible for max 3 promille of (project /programme) budget with 90+ % of functionality.

Growing library, easy discovery, standard export/imports.

Single format, conversion not necessary.

Converging, crowd-rated open datasets. Moving towards specialization in data collection.

Pain Relief (≠ panacea)

+ + + + + = datapoint

Data : content varies, structure doesn’t (well, for at least 95 % of data)

Point of interest Variable Period Value Modus Activity

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”

Open data WorldBank CKAN DFID Projects National Statistics

Institutes …..

“My” data Planning Execution Output Effects Impacts Context

Ordex : the big plan

Ordex

Conversion to datapoints

Direct entry

Datapoints

Search index

Alerts

Report generator

Data series

Technical interface (API)

Databrowser

http://ordex.ophileon.com/ordex/gridexport?page=0&query=eindhoven&filters=undefined

Open data WorldBank CKAN DFID Projects National Statistics

Institutes …..

“My” data Planning Execution Output Outcome Impacts Context

Ordex : where we are now

Ordex

Conversion to datapoints

Direct entry

Datapoints

Search index

Alerts

Report generator

Data series

Technical interface (API)

Databrowser

http://ordex.ophileon.com/ordex/gridexport?page=0&query=eindhoven&filters=undefined

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)

rdex

Or use these filters

1,098,023 datapoints waiting to be used

Home News Latest additions Reports Setup Login Sign up

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AfricaAdmin (53)Companies (5)Websites (576)WorldAdmin (1,098,023)

Point of interest Search

1960 (54,491)1964 (54,497)1965 (54,497)1970 (54,493)1975 (54,490)1976 (1)1977 (1)1978 (1)1980 (54,370)1985 (54,375)

Period Search

Agriculture (810)Agriculture & Rural Development (67,816)Aid Effectiveness (96,306)Business Financials (5)Climate Change (162,177)Demographics (5,047)Economic Development (145)Economic Policy & External Debt (125,145)Economics(16)Education (131,355)

Variable Search

Measured (1,089,736)Planned (533)Estimated (490)Projected (164)

Modus Search

What are you looking for?Maize 2012

rdex1,098,023 datapoints waiting to be used








Report Action

Training of Trainers

Percentage ISFM

Planned vs realized

Planning 2012 – 1016

Targets ISM

Run

Run

Run

Run

Run

Parameters

Output



../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 [email protected]@tomzeppenfeldt @ophileon

Technology

Ordex at Open Data Development Camp 2012