PPT-Managing Constraints for improved data quality

Author : karlyn-bohler | Published Date : 2016-05-03

Fei Chiang Renee J Miller University of Toronto DIMACS Workshop on Data Quality Metrics Feb 4 2011 Resolving Data Inconsistencies DIMACS Data Quality Metrics Fei

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Managing Constraints for improved data quality: Transcript

Fei Chiang Renee J Miller University of Toronto DIMACS Workshop on Data Quality Metrics Feb 4 2011 Resolving Data Inconsistencies DIMACS Data Quality Metrics Fei Chiang Feb 4 2011. By proactively managing and monitoring key Kofax components, Reveille for Kofax helps you quickly identify and x issues in the document capture process. Reveille for Kofax proactively alerts you t SAGE: Whitebox Testing Check for Crashes (AppVerifier) Code Coverage (Nirvana) Generate Constraints (TruScan) Solve Constraints (Z3) Input0 Coverage Data Constraints Input1 Input2 … InputN MS . Where’s My Stuff. Why an enterprise-wide, . inter-operable. , . g. eospatially-enabled . Information Management System . for Transportation Agency Right-of-Way Offices. Why an Information System. 9:. Managing . Schema Objects. Overview. Naming guidelines for identifiers in schema object . definitions. Storage and structure of schema objects. Implementing data integrity using constraints. Implementing business rules at . of gynecological operations. . in Sweden: . How and what? . GYNOP. Swedish National Quality Register of Gynecological Surgery. www.gynop.org. HOW?. Measurements for Improved Quality in Healthcare. Erica Smith. University of Ballarat. What’s the similarities?. A three-to four year ‘contract of training’;. A combination of ‘theory’ and ‘practice’;. Difficulty in attracting suitable applicants;. Institutes in . the Last 25 Years?. David A. . Marker. Westat. DavidMarker@Westat.com. Presented at the . 30th . Anniversary of the Journal of Official Statistics Conference. Stockholm, . Sweden. June 12, . Ensuring Data Integrity through Constraints. . Module Overview. Enforcing Data Integrity. Implementing Domain Integrity. Implementing Entity and Referential Integrity. Lesson 1: Enforcing Data Integrity. Quality data for ITOM. Data Quality for improved ITOM initiatives. . 1. Raw data sources. Auto collected. Manually collected. Not collected. Data sources. Data Quality Management. Aggregates. Reconciles. Copyright © . 2015 . McGraw-Hill Education. . All . rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.. Learning Objectives. LO 1. Summarize the major challenges of managing in the new competitive landscape. (801) . 526-9410 mlmiller@utah.gov. Managing to meet performance expectations. Federal . expectations. …. ETA 581. TPS. ETA 227. ETA 2112. ETA 191. ETA 204. ETA 205. Managing to meet performance expectations. Liza Kasmara, Ed.M. . Kareem Merrick, DDS . Moussa Sanogo, MD, MS, MPH. Moderator: Clemens M. Steinböck, MBA . Disclosures. This continuing education activity is managed and accredited by Professional Education Service Group (PESG). The information presented in this activity represents the opinions of the author(s) or faculty. Neither PESG, nor any accrediting organization endorses any commercial products displayed or mentioned in conjunction with this activity . Mission:. With respect for tribal sovereignty, NAEPC is dedicated to providing technical assistance, environmental education, professional training, information networking and intertribal coordination as directed by the member tribes.. Denis Krompaß. 1. , Maximilian Nickel. 2. and Volker Tresp. 1,3. 1. . Department of Computer Science. Ludwig Maximilian University, . 2. MIT, Cambridge and . Istituto. . Italiano. . di. . Tecnologia.

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