Data Information Quality

Aug 08, 2012

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2. Session overview. What is quality? What is Data Quality (DQ)? And why is it important anyway?Potential impact of poor DQ (data quality)Defining Data QualityDesigning for Quality DataEnsuring DQ in databasesSo what goes wrong? Potential causes of poor DQManaging DQ a

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Data Information Quality

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1. Data & Information Quality Monday 26th April 2010

Archived Information 14th Annual Management Information Systems Conference “Quality Data, Quality Decisions”

Archived Information 14th Annual Management Information Systems Conference “Quality Data, Quality Decisions” Craig B. Luigart Chief Information Officer Craig_Luigart@ed.gov February 26, 2001 Elements of Data Quality Common Collections Effectiveness Timeliness Data Quality

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Data Quality

Data Quality. It’s not the things you don’t know that matter, it’s the things you know that aren’t so. Will Rogers, Famous Okie GI specialist. GiGo: garbage in, garbage out ‘Cos it’s in the computer, don’t mean it’s right.

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Data Quality; Data Standards Information Context Nick Armitage, NHS Information Centre

Introduction:. Data QualityBackgroundESR and Data QualityData Quality and iViewData StandardsThe National Workforce Dataset (NWD) version 2.3The NHS Occupation Code Manual version 9The Healthcare Scientists Workforce Information Pilot. . We can only be sure to improve what we can actually m

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Information Management Framework Data Quality

Information Management Framework Data Quality. What is quality. Quality is dynamic concept that is continuously changing to respond to changing customer requirements Defined in 3 ways: Conformance to specifications (DQA) Fitness for use (Surveys). Quality issues. Problems can result from:

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Data Quality

Data Quality. Class 3. Goals. Dimensions of Data Quality Data Extraction, Transformation, and Loading Data Cleansing Project. Dimensions of Data Quality. Poor data quality is similar to obscenity- It seems as if there are no real ways to measure it, but you know it when you see it!

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Information and data quality

Information and data quality. Efrim Boritz Hans Verkruijsse. Information. To inform is derived from the Latin word Informare : in the sense of "to give form to the mind” Information contributes to the development of the mind of human beings Information quality research over the years.

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Data Quality

Data Quality. By Jean Coulter. Data Quality. State Run Quality Control Queries NSPS CPDF Payroll Reconciliations. State Run QC Queries. NGB-QC-ENVIR-DIFF-PAY NGB-QC-PARA-ORG-STRUCT-COMP NGB-QC-PAY NGB-QC-POSN-INVALIDS QC-AR AUTH-VS-REQ QC-DUP-MPCN Air QC-DUP-MPCN Army

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Data Quality

Defense Logistics Information Service Data Integrity Branch July 2007. Data Quality. Supplier. Supplier. Supplier. Supplier. Supplier. Supplier. Supplier. Supplier. Supplier. Supplier. Supplier. Supplier. DNA of the DOD Supply Chain. “Data is the DNA of supply chain management”

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Data Quality in Cooperative Information Systems

Data Quality in Cooperative Information Systems. Monica Scannapieco (monscan@dis.uniroma1.it) Dipartimento di Informatica e Sistemistica Universita’ di Roma “La Sapienza ”. Who am I ?. Ph.D. Student in Computer Engineering (next december Ph.D. defense)

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Information Management, Standards and Data Quality

Information Management, Standards and Data Quality. Brian Green ePSI plus Analyst. funded by e Content Plus. Work Package 6 - deliverables.

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Data and Information Quality

Data and Information Quality.

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Data Quality

Data Quality. Steve Batchelor - Data Collection Ltd. Data Quality. “Data is the most critical factor in the decision making process, yet is specified by the same method as a printer ribbon”. Lets go and collect data. Produce a specification Go out to tender Award to the cheapest quote

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Data Quality

Data Quality. Improving motivation to improve data quality. We need data…. Reduce costs by eliminating unplanned failures Optimise inspection intervals for critical equipment Reduce process variability Improve repair shop processes Provide targets for metrics.

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Data Quality

Data Quality. Tips and Tricks Kennell and Associates. Objectives. List several important MHS initiatives that rely upon good MTF data Identify the major MTF-level data products Identify common MHS Data Problems Describe the MDR and M2 Utilize M2 Standard Reports to analyze DQ issues.

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Data Quality

Data Quality. Class 5. Goals. Data Quality Rules (Continued) Example Use of Data Quality Rules. Data Quality Rules Classes. 1) Null value rules 2) Value rules 3) Domain membership rules 4) Domain Mappings 5) Relation rules

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Data Quality

Data Quality. Class 5. Goals. Project Data Quality Rules (Continued) Example Use of Data Quality Rules. Data Quality Rules Classes. 1) Null value rules 2) Value rules 3) Domain membership rules 4) Domain Mappings 5) Relation rules

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Data Quality

Data Quality. Class 10. Agenda. Review of Last week Cleansing Applications Guest Speaker. Review of Similarity. We use measures of similarity to establish measures and thresholds for linkage Edit Distance Phonetic Similarity Ngrams. Linkage.

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Data Quality

Data Quality. Class 3. Goals. Dimensions of Data Quality Enterprise Reference Data Data Parsing. Dimensions of Data Quality. Poor data quality is similar to obscenity- It seems as if there are no real ways to measure it, but you know it when you see it!

479 views • 43 slides

Data Quality

Data Quality. It’s not the things you don’t know that matter, it’s the things you know that aren’t so. Will Rogers Famous Okie GI specialist. GiGo: garbage in, garbage out ‘Cos it’s in the computer, don’t mean it’s right.

376 views • 34 slides

Data Quality

Data Quality. Class 7. Agenda. Record Linkage Data Cleansing. Record Linkage. Critical component of data quality applications Linkage involves finding a link between a pair of records, either through an exact match or through an approximate match Linkage is useful for data cleansing

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Data Quality

Data Quality. Class 2 David Loshin. Goals. Overview of Databases Cost of low data quality The information chain Use of Mini Tools. Overview of Databases. Data Model Tables and Attributes Relational Databases. Data Model. A representation of an object

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Data Quality

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