Presenting outstanding, carefully selected research and analysis in the evolving field of policy studies, this series provides a selection of the finest policy writing available. Distinguished contributors explore decisionmaking and policy orientations in a wide variety of areas, including social welfare, education, policy implementation, civil liberties, economic regulation, foreign policy, federal funding, the environment, and public health care. Policy Studies Review Annual is a valuable reference for social scientists, legislators, policy makers, and professionals and students concerned with the policy decision process. Contributors (Volume VII--partial list): POLICY RESEARCH/POLICY PERSPECTIVES: I.L. Horowitz, J.J. Richardson, A.G. Jordan, H. Stein, R. Nathan; EMPLOYMENT AND TRAINING: R.B. Ripley, G.A. Franklin, J. Bovard, R.C. Rist, R. Taggart; HEALTH POLICY: L. Wyszewianski, J. Wheller, A. Donabedian, P.P. Bu-detti, J. Butler, P. McManus, D. Rosner, D. Gikhrist, S.P. Schinke, R.M. Hessler, A.C. Twaddle; SOCIAL SECURITY POLICY: N. Keyfitz, M.D. Levy, H. Mosley; URBAN POLICY: J.M. Goering, C.J. Orlebeke, P. Marcuse, P. Medoff, A. Pereira; EDUCATION POLICY: B.C. Rabe, P.E. Peterson, O.K. Cohen, S. Pogrow, H.M. Levin; ENERGY POLICY: G.A. Daneke, J.D. Roessner, M.D. Reagan; INDUSTRIAL POLICY: D. McKay, A. Etzioni, J. Hills.

The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. It demonstrates how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. It includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning. This book is recommended for data management practitioners, including database analysts, information analysts, data administrators, data architects, enterprise architects, data warehouse engineers, and systems analysts, and their managers. - Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. - Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. - Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning.