PPT-Crossing the Chasm Between Quality and Administrative Data

Crystal Kallem Lantana Consulting Group Executive Director Analysis amp Policy Crystal Kallem Executive Director of Analysis amp Policy Lantana Consulting Group CDA Academy . 0 20 Geoffrey Moore Venture Partner MDV brPage 2br 57518 Copyright 2007 Mohr Davidow Ventures MDV Areas of Investment Crossing the Chasm 10 Crossing the Chasm 20 Crossing the Chasm 15 brPage 3br 57518 Copyright 2007 Mohr Davidow Ventures Time Revenue acquired by IBM in April 2011 surveyed 130 professionals responsible for the planning and implementation of sustainabil ity initiatives at large corporations and public sector organiza tions IBM completed a thorough analysis of these survey results . BOTSWANA. Contents. National Accounts Data Sources. National accounts data in administrative records.  . Quality evaluation. Important Matters to Note on Administrative. . Data. Memorandum of Understanding. Attention. Using . the Capture Effect. Michael . König. Roger . Wattenhofer. The . Capture Effect. The . Capture Effect. The Capture Effect – Power Difference. [“Sharing . a Medium Between Concurrent Protocols Without Overhead Using the Capture . Chasm. (Introduction, ch1 . & 2). Geoffrey Moore. Geoffrey Moore. “The point of greatest peril in the development of a high-tech market lies in making the transition from an . early market. dominated by a few visionary customers to a . A case study cross-validating UK Birth Records. Roxanne Connelly . (R.Connelly@warwick.ac.uk). Vernon Gayle . (Vernon.Gayle@ed.ac.uk). Aims. How consistent are maternal and paternal occupations reported on the survey and the birth records? . Istat’s new strategy and tools for enhancing statistical utilization of the available administrative databases Giovanna D’Angiolini Pierina De Salvo Andrea Passacantilli Speaker: Andrea Passacantilli uality. . of. . M. ultisource. . S. tatistics. Example. . of. . Slovenia. : . use. . of. administrative . data. . sources. in . statistical. . surveys. Barbara Kutin Slatnar. ,. Environmental. Against Children (VAC). Claudia Cappa, Senior Adviser, Data and Analytics Section, UNICEF. 1. Administrative data . on VAC: main characteristics and challenges. 2. . Steps towards building strong administrative data systems on VAC. Sorina V. ÂJU. Fernando REIS. EUROSTAT. 03-04 December 2012. ESSnet. Workshop, Rome. Purpose. 03-04 December 2012. ESSnet. Workshop, Rome. 2. Facilitate the increased . use of administrative data sources for statistical purposes. The bible for bringing cutting-edge products to larger markets--now revised and updated with new insights into the realities of high-tech marketingIn Crossing the Chasm, Geoffrey A. Moore shows that in the Technology Adoption Life Cycle--which begins with innovators and moves to early adopters, early majority, late majority, and laggards--there is a vast chasm between the early adopters and the early majority. While early adopters are willing to sacrifice for the advantage of being first, the early majority waits until they know that the technology actually offers improvements in productivity. The challenge for innovators and marketers is to narrow this chasm and ultimately accelerate adoption across every segment.This third edition brings Moore\'s classic work up to date with dozens of new examples of successes and failures, new strategies for marketing in the digital world, and Moore\'s most current insights and findings. He also includes two new appendices, the first connecting the ideas in Crossing the Chasm to work subsequently published in his Inside the Tornado, and the second presenting his recent groundbreaking work for technology adoption models for high-tech consumer markets. Contents. Register-based censuses . Specific issues that could hamper quality. Comparability issues. Quality, administrative data and the statistical process. Conclusions. 2. Register-based censuses (1). Peter W. F. Smith. Outline. The Administrative Data Research Network. The Administrative Data Research Centre for England. Guidance for Information about Linking Data sets. Record Linkage. Survey Representativeness . Michael Biddington, UN ESCAP Statistics Division, . Biddington@un.org. . Introduction. Issues with admin data. Quality Assurance. Solutions . Coverage (ABS). Resources. 2. Common Issues. Collection .