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Strategic use of digital information in Government - Rwanda-CMU-2014

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Guest talk at Carnegie Mellon University in Rwanda on Strategic use of digital information in Government delivered on October 23, 2014 to the students of M.S. in Information Technology [Strategic use of digital information in enterprises]

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Strategic use of digital information in Government - Rwanda-CMU-2014

  1. 1. Strategic use of digital information in Government Guest Talk @Carnegie Mellon University in Rwanda Kigali, Rwanda I October 23, 2014 M.S. in Information Technology [Strategic use of digital information in enterprises] … Rajiv Ranjan NISR/UNDP-Rwanda
  2. 2. @rajiv_r_in
  3. 3. Agenda Context Government is not special Concept Govt. use of information to be more efficient, open, and engaged Case study National Institute of Statistics of Rwanda
  4. 4. Context • Part of the course - “Strategic use of digital information in enterprises” (in M.S. in Information Technology) • Common ground – Strategic use of digital information • Distinction to note – “Enterprise” vs. “Government” – But, are they really different in the context of strategic use of digital information?
  5. 5. Latest Government is not special
  6. 6. Manifestation Gov 1.0 Gov 2.0 Government centric Citizen centric Supply push Demand pull Government as a sole provider of citizen services Government assembles multiple competitive sources of citizen services Unconnected vertical business silos New virtual business layer, build around citizen needs, operates horizontally across government Public data is locked away within government Public data is available freely for reuse by all Citizen as a recipient or consumer of services Citizen as owner and co creator of services Online services Citizen as owner and co creator of services IT as a capital investment IT as a service http://blogs.msdn.com/b/ukgovernment/archive/2011/06/06/smarter-government-strategies-to-transform-government-in-the-2-0-world-free-white-paper.aspx
  7. 7. Enabler Data -> Information -> Knowledge -> Wisdom
  8. 8. Connectedness Data Information Usage Knowledge Wisdom Understanding principles Future: Doing the right things Past: Doing the things right Understanding Understanding patterns Understanding relations Governments is using public information to be more efficient, open, and engaged
  9. 9. Focus • Optimize performance and service delivery • Encouraging citizens to build apps atop open data that make their own lives better
  10. 10. Path Sourcing Storage Analytics Insights
  11. 11. Variations Sourcing Storage Analytics Insights Transactional Functional Surveys/Census Data bases Data marts Data warehouse OLAP BI Data mining Known known Known unknown Unknown Unknown Volume, Velocity & Variety
  12. 12. Case study National Institute of Statistics of Rwanda (NISR) • GoR institution • Semi-autonomous • Governed by a Board of Directors • Govt. oversight through a performance contract with MINECOFIN statistics.gov.rw
  13. 13. Board of Directors Office of the Director General Office of the Deputy Director General – Corporate Services Administration Finance Office of the Deputy Director General – Studies and Programme Information and Communication Technology Census Statistical Methods, Research and Publications Social and Demographic Statistics Economic Statistics Organizational Chart - NISR
  14. 14. Case study National Institute of Statistics of Rwanda - As an organization (Govt./not for profit) - As a data supplier to Policy makers/Public
  15. 15. National Institute of Statistics of Rwanda • As an organization Case study – Knowledge Management – Operational Efficiency • Survey management system • Document management system
  16. 16. Knowledge management enabled by KM Portal
  17. 17. KM Portal - Knownet Under the hood • Knownet is based on Open Source Community & Content Management System – Drupal (drupal.org) – PHP, MySQL • Seamless user integration with - Active Directory • Remote access • H/W: Disk space : 258 GB, RAM: 6 GB, Processor : Intel(R)Xeon(R) CPU E5520@2.27 GHZ, Ubuntu
  18. 18. SMS based, online Survey/Census Monitoring System
  19. 19. Survey Mgmt System Under the hood • Open-source web application development framework written in PHP5 – Yii (yiiframework.com) – PHP, MySQL • Open Source SMS gateway – Kannel (Kannel.org) • Telco connectivity - Short Message Peer to Peer Protocol (SMPP) over VPN
  20. 20. e-Document Management System
  21. 21. Case study National Institute of Statistics of Rwanda • As a data supplier to Policy makers/Public – Data production & dissemination
  22. 22. Dissemination tools in NISR SDMX Registry Sdmx.statistics.gov.rw Prognoz indicators.statistics.gov.rw DevInfo Devinfo.statistics.gov.rw NADA Microdata.statistics.gov.rw Indicators (Time series) Microdata Publications (PDFs) & (Data in Excel) Survey information Statistics.gov.rw Statistics.gov.rw
  23. 23. Challenges & Opportunities • Getting data used • Open data • Building data ecosystem
  24. 24. Challenges & Opportunities • Getting data used • Open data • Building data ecosystem • Evidence based planning • Impact on quality of data
  25. 25. Challenges & Opportunities • Getting data used • Open data • Building data ecosystem • Revisit the concepts of data presentation (Xls, xml etc.) • Combine them with emerging technologies (API/Web services)
  26. 26. Challenges & Opportunities • Getting data used • Open data • Building data ecosystem • Involve private sector, civil society, educational institutions etc. to develop new engagement models (visualization/apps/mashups) (E.g: sunlightlabs.com/contests/designforamerica, rewiredstate.org)
  27. 27. Pursuit From being reactive to predictive Applies to both enterprises and governments
  28. 28. Conclusion “Prediction is an ongoing process of arguing from the past to the future. This means an interpretation of evidence which involves a prediction. Predictions are always hypothetical, and can never be true because of the variable nature of the process. In this sense, predictions must necessarily be constantly revised in the light of new experience as the future unfolds.” By: Lewis, C.I. (1929), Mind and the world order: outline of a theory of knowledge, Dover publications NY.
  29. 29. Thank you! rajivranjan.org

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