NGO Clarity    Dirk Gorissen (Southampton University)          Ben Foxall (White October)Dinesh Venkateswaran (TechSoup, P...
Dear Donors, there is information onNGOs!                                       2
But, how will you know if the data is thetruth?                          Registrar of     Karwani Islami                  ...
But, how will you know if the data is thetruth?        CHAITANYA JYOTHI WELFARE                 Andhra       I SRINIVASA  ...
But, how will you know if the data is thetruth?  Sectors Working In/ Key Issues                                      Opera...
Options                        Go Verify     TRUTH     Public Data   Or learn to figure out by just looking at   the data!...
What can we infer from the data?NGO Clarity gives you...      Data Availabilities         Individual Data Quality       ...
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Technology•   MS Excel – Data•   Rules engine and Presentation – Python•   JQuery, BootStrap•   Eclipse, Django•   XML, XP...
Solution improvements & related problems  Data Sourcing         Inferencing       Presentation/ user features             ...
Credits   Dirk Gorissen – Analysis and Lead Implementer              Ben Foxall – UI developer         Russell Law – solut...
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Ngo Clarity

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The NGO Clarity problem tackled as part of the 2011 Oxford Random Hacks of Kindess event

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  • Every human being has got social responsibility. It is the duty of every human to take care of those who are less privileged. They should extend their helping hands and light the lives of those less fortunate people. They have their place in this world and they should be given the opportunity. The elite and the educated should prove their mettle in leading them. With this objective in view, Sudar Academy and Charitable Trust was started. Our mission and vision is to educate and emancipate these less fortunate people.These differently abled should be given their place in this world. In the process, the social imbalance existing in the society should be brought down.
    Goals:
    At present free education and food is being given to around thirty students, and we would like to extend it. And we are about to start an orphanage, an oldage home and a widow rehabilitation centre. But we are under financial constraint. Kindly visit www.sudartrust.com and donate liberally. Help us work towards bringing a balance in the society. Let us join this mission.
    PLEASE VISIT-WWW.SUDARTRUST.COM
    PLEASE HELP ME
    PLEASE FUNDRAISING IDEA
    PLEASE FORWARD ALL FRIENDS
    PLEASE PLEASE
       Reply 
    Are you sure you want to  Yes  No
    Your message goes here
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Ngo Clarity

  1. 1. NGO Clarity Dirk Gorissen (Southampton University) Ben Foxall (White October)Dinesh Venkateswaran (TechSoup, Project Owner) Chris Wallace (Freelance) Russell Law (Freelance) Contact: dvenkateswaran@techsoupglobal.org
  2. 2. Dear Donors, there is information onNGOs! 2
  3. 3. But, how will you know if the data is thetruth? Registrar of Karwani Islami Society 3823 of 91 Societies Registrar of Registration no? Karwani Islami Society 73 Societies Registrar of Karwani Islami Society 2891 Societies Same parent organisation for all NGOs! ACANI Prerna Deep, Lambaline Junglighat P.O Andaman & Nicobar 0000000-00000 Islands Pin 744103 Phone numbers? ARPAN Enem Post & Village - --- Ograbraj Port Blair S.Andaman Where’s the post-code? 3
  4. 4. But, how will you know if the data is thetruth? CHAITANYA JYOTHI WELFARE Andhra I SRINIVASA AP/2009/0011621 SOCIETY Pradesh RAO Many organisations with same name! CHAITANYA JYOTHI WELFARE Andhra AP/2009/0022962 Srinivasa Rao SOCIETY Pradesh CHAITANYA JYOTHI WOMEN Andhra AP/2011/0039631 Ch appala raju WELFARE SOCIETY Pradesh Registered before Registrar existed! http://ngo.india.gov.in/ng 10/03/1957 Port Blair o/vision_arpan.jpg No such place exists http://ngo.india.gov.in/ng o/f5d0ad3909bc0948675 05/01/2001 bheemsingh 9191fea37cc15.red-rose- thumb4902292.jpg 4
  5. 5. But, how will you know if the data is thetruth? Sectors Working In/ Key Issues Operational Area-States Animal Husbandry, Dairying & Fisheries, Agriculture, Children, Disaster Management, Drinking Water, Education & Literacy, Environment & Forests, Health & Family Welfare, Housing, Land Andaman and Nicobar Resources, Micro Finance (SHGs), Nutrition, Panchayati Raj, Rural Island Development & Poverty Alleviation, Tribal Affairs, Vocational Training, Water Resources, Womens Development & Empowerment, Youth Affairs Every sector under the sun! Aged/Elderly, Agriculture, Art & Culture, Children, Civic Issues, Differently Abled, Disaster Management, Drinking Water, Education & Literacy, Environment & Forests, Food Processing, Health & Family Welfare, HIV/AIDS, Housing, Human Rights, Information & Andaman and Nicobar Communication Technology, Legal Awareness & Aid, Micro Finance Island (SHGs), Minority Issues, Micro Small & Medium Enterprises, Nutrition, Panchayati Raj, Right to Information & Advocacy, Rural Development & Poverty Alleviation, Sports, Biotechnology Assam Aged/Elderly, Art & Culture, Disaster Management, Education & Andaman and Nicobar Literacy, Health & Family Welfare, Sports, Vocational Training, Youth Island 5 Affairs
  6. 6. Options Go Verify TRUTH Public Data Or learn to figure out by just looking at the data! 6
  7. 7. What can we infer from the data?NGO Clarity gives you... Data Availabilities  Individual Data Quality  Aggregated Quality  Standards Compliance  7
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  10. 10. Technology• MS Excel – Data• Rules engine and Presentation – Python• JQuery, BootStrap• Eclipse, Django• XML, XPath, XQuery (alternative approach) 10
  11. 11. Solution improvements & related problems Data Sourcing Inferencing Presentation/ user features User-defined Multiple Learning rules source algorithms formats Geo-coding/ heat-maps/ Configurable rules overlays Pre- processing to eliminate Choice of data errors sources Cross-verification with other sources Linking to actual records Integrating datasets Agent behaviour Browser Plug-in for rating @ websites 11
  12. 12. Credits Dirk Gorissen – Analysis and Lead Implementer Ben Foxall – UI developer Russell Law – solutions consultant Chris Wallace – Database modellerDinesh Venkateswaran – Problem definition, analysis 12

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