Departmental Seminar

22/10/2013 - 14:00

Speaker:

Prof. Ron S. Kenett

KPA Ltd., Raanana, Israel
Univ. of Turin, Turin, Italy
Center for Risk Engineering, NYU Poly, New York, USA

Title:

(On information quality (InfoQ


Abstract
In a recent paper in the Journal of the Royal Statistical Society (Series A), Kenett and Shmueli define the concept of Information Quality (InfoQ) as the potential of a dataset to achieve a specific (scientific or practical) goal using a given empirical analysis method. InfoQ is different from data quality and analysis quality, but is dependent on these components and on the relationship between them. Eight dimensions are used to assess InfoQ: Data Resolution, Data Structure, Data Integration, Temporal Relevance, Generalizability, Chronology of Data and Goal, Operationalization and Communication. The talk will demonstrate the concept of InfoQ, its components (what it is) and assessment (how it is achieved) through several case studies. The main theme of the presentation is that formalizing the concept of InfoQ increases the value of statistical analysis, and data mining both methodologically and practically, thus contributing to a general theory of applied statistics. For an InfoQ exercise see: https://docs.google.com/spreadsheet/viewform?formkey=dE1HNWI1SVBNNHhKQVY...
Professor Ron Kenett, Chairman and CEO of the KPA Group, Research Professor, University of Torino, Turin, Italy, International Professor Associate, Center for Risk Engineering, NYU-Poly, NY, USA, Past President of the Israel Statistical Association (ISA) and the European Network for Business and Industrial Statistics (ENBIS). Editor in chief of the Wiley Encyclopedia of Statistics in Quality and Reliability, member of the advisory editorial board of the international journal Quality Technology and Quantitative Management, associate editor of Applied Stochastic Models in Business and Industry (ASMBI) and the Journal of the Royal Statistical Society (JRSS Series A).
For about 10 years Ron held the position of Director of Statistical Methods in a large telecom corporation, a job he owed to a recommendation of W. Edwards Deming to his CEO. He also held positions at the University of Wisconsin-Madison, Bell Laboratories, , the State University of New York in Binghamton and Tel Aviv University. Ron authored and co-authored over 160 papers and 10 books published by Willey, Taylor and Francis and Duxbury Press. He has been a consultant for companies in electronics, semiconductors, software, healthcare, banking and education systems. Ph.D. in Mathematics (1978) from the Weizmann Institute of Science, Rehovot. B.Sc. in Mathematics (1974) from Imperial College of Science and Technology, with first class honors, London University, London, UK
Abstract:


In a recent paper in the Journal of the Royal Statistical Society (Series A), Kenett and Shmueli define the concept of Information Quality (InfoQ) as the potential of a dataset to achieve a specific (scientific or practical) goal using a given empirical analysis method. InfoQ is different from data quality and analysis quality, but is dependent on these components and on the relationship between them. Eight dimensions are used to assess InfoQ: Data Resolution, Data Structure, Data Integration, Temporal Relevance, Generalizability, Chronology of Data and Goal, Operationalization and Communication. The talk will demonstrate the concept of InfoQ, its components (what it is) and assessment (how it is achieved) through several case studies. The main theme of the presentation is that formalizing the concept of InfoQ increases the value of statistical analysis, and data mining both methodologically and practically, thus contributing to a general theory of applied statistics. For an InfoQ exercise see: https://docs.google.com/spreadsheet/viewform?formkey=dE1HNWI1SVBNNHhKQVY...
Professor Ron Kenett, Chairman and CEO of the KPA Group, Research Professor, University of Torino, Turin, Italy, International Professor Associate, Center for Risk Engineering, NYU-Poly, NY, USA, Past President of the Israel Statistical Association (ISA) and the European Network for Business and Industrial Statistics (ENBIS). Editor in chief of the Wiley Encyclopedia of Statistics in Quality and Reliability, member of the advisory editorial board of the international journal Quality Technology and Quantitative Management, associate editor of Applied Stochastic Models in Business and Industry (ASMBI) and the Journal of the Royal Statistical Society (JRSS Series A).
For about 10 years Ron held the position of Director of Statistical Methods in a large telecom corporation, a job he owed to a recommendation of W. Edwards Deming to his CEO. He also held positions at the University of Wisconsin-Madison, Bell Laboratories, , the State University of New York in Binghamton and Tel Aviv University. Ron authored and co-authored over 160 papers and 10 books published by Willey, Taylor and Francis and Duxbury Press. He has been a consultant for companies in electronics, semiconductors, software, healthcare, banking and education systems. Ph.D. in Mathematics (1978) from the Weizmann Institute of Science, Rehovot. B.Sc. in Mathematics (1974) from Imperial College of Science and Technology, with first class honors, London University, London, UK