PPT-Session 1: Data/Sources of Data/Measuring Data/Getting the most value out of the data

Presenters Shari Quackenbush DTM Global Agency amp Online Lead IBM Mark Walton VP Strategy and Account Management Orbitz for Business Will Tate SVP Management Alternatives. ‘The basics’. By Marie Laberge. UNDP Oslo Governance Centre. . What . challenges are involved . in measuring . corruption. ?. What challenges matter the most in the Tajik context?. Choosing appropriate assessment methods can go a long way towards mitigating these challenges. . “. Modernisation: Evolution or revolution”. Pádraig Dalton, John Dunne & Donal Kelly. Global . Conference on a Transformative Agenda . for . Official . Statistics. New York 15-16 January 2015. Information fusion towards meeting the information needs of. scholars. Nasrine. Olson. 1. , H. Joe Steinhauer. 2. , Alexander Karlsson. 2. , Gustaf . Nelhans. 1, . Göran. . Falkman. 2. , and Jan Nolin. - DEVELOPING . SCALABLE DATA ARCHITECTURE AT SURS. Tomaž Špeh . UNECE . Workshop . on the Modernisation of Statistical Production. Geneva, 15-17 April 2015. Modernization. . activities. More . efficient production, decreasing costs and administrative burden, increasing efficiency and flexibility. Third Conference on Measuring Human Progress . Can HD Measurement Inform the Post-2015 Agenda. New York, . 10-11 March . 2014. Session 5. Stefan . Schweinfest. Acting Director. United Nations Statistics Division. Owen Abbott. Office for National Statistics. ONS . Big Data . team. Launched in January 2014. The Big Data team:. focus on high priority ONS challenges that may be solved through new forms of data or the application of data science techniques to help deliver better statistics. University of Manchester. Outline. Existing approaches to quality and big data.. The questions.. Existing Approaches. How do they do?. Not just one V at a time.. Extract Transform and Load. Volume. :. By Marie Laberge. UNDP Oslo Governance Centre. . What . challenges are involved . in measuring . corruption. ?. What challenges matter the most in the Tajik context?. Choosing appropriate assessment methods can go a long way towards mitigating these challenges. . Information fusion towards meeting the information needs of. scholars. Nasrine. Olson. 1. , H. Joe Steinhauer. 2. , Alexander Karlsson. 2. , Gustaf . Nelhans. 1, . Göran. . Falkman. 2. , and Jan Nolin. Computing Systems: 1/30/18 Lecture . Professor Eugene. . Wu. By Kathy Lin , . Xiaohui. Guo, and Aria Kumar. . k. l2615 xg2225 sk4345. 1. Motivation for Data Integration . 2. May . 9. , 2017. Admin data and other. Otto Swertz. Three subjects in one presentation. 2. 1. Findings regarding IRES. 3. Own use autoproducers. 4. Contradiction. Main. producers. Auto producers. Energy statistics are semi-functional. Christine Murray, UNC Greensboro. Cindy . Fraga Rizo, . UNC Chapel Hill. Tonya VanDeinse, UNC Chapel Hill. Presentation Overview. Data & Evaluation Strategies of the Guilford County Family Justice Center – . 1 the quality of multisource statistics Sorina V - DEVELOPING . SCALABLE DATA ARCHITECTURE AT SURS. Tomaž Špeh . UNECE . Workshop . on the Modernisation of Statistical Production. Geneva, 15-17 April 2015. Modernization. . activities. More . efficient production, decreasing costs and...