Data Quality Channel

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If there is a single pitfall that undermines any given data management initiative, it is most likely to be found in the realm of data quality, a requirement for sound decision-making. Whether in combination or by themselves, databases are almost certain to contain entry errors, multiple common entries and other redundancies that inevitably lead to incorrect or incomplete identifications of customers, products and locations. Thus, data quality is a critical prerequisite to any BI initiative that would otherwise skew or obfuscate meaning in the reporting and analytic outputs of databases, reporting tools, dashboards and scorecards.

The Sad State of Data Quality

Results from the Information Difference survey document initiatives and the state of data quality today

Data Cleansing in the Cloud

This article addresses the challenges and many of the common questions that companies have regarding data cleansing in the cloud

Rely on Data Quality to Survive

How to utilize the principles of data quality to improve business intelligence and maximize sales opportunities

BI: Only as Good as its Data Quality

The assumption in business intelligence is that the data from which the information is derived is correct, but this is not always the case

Data Quality in 5 Steps

Apply Lean principles to meet the many challenges of customer MDM initiatives

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Data Quality for Operational BI

Operational BI can only be successful if data meets quality expectations and is understood by the business community

The Talents of a True Data Steward

Technical, interpersonal and positional skills are required to manage data as an asset

Four More Sources of Poor Data Quality

How to develop a strategy to identify and understand the issues

Seven Sources of Poor Data Quality

Quantify types and extent of data quality problems to prioritize efforts

Data Quality and MDM

A data quality mind-set increases MDM program success

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Data Quality and Cost Reduction

Overall Approach to Data Quality ROI

Populating a DQ Scorecard by David Loshin

Observing Data Quality SLAs by David Loshin

Data Quality Remediation

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Data Quality Assessment

By Arkady Maydanchik

Data Mining VIII: Data, Text and Web Mining and their Business Applications

By Edited by: A. Zanasi, C.A. Brebbia and N.F.F. Ebecken

Data Quality Assessment

By Arkady Maydanchik

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• Find Data Quality products & services on Information Management Marketplace

Articles from this Site

• MDM Achieving Maturity in Enterprises
• Open Source MDM From Talend
• Forum Endorses 70 Quality Measures
• Oracle Buys Data Quality Software Vendor
• Oracle Acquires Silver Creek Systems
• More Articles from this Site

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White Papers

• Data Quality and Cost Reduction
• Overall Approach to Data Quality ROI
• Improving the Accuracy of Spend Analysis through Data Quality
• Data Quality Remediation
• Populating a DQ Scorecard by David Loshin
• More White Papers

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Web Seminars

• The Learning Curve: Best Practices in Data Resource Management
• Streamlining the Business of Healthcare Through Effective Information Delivery
• The Learning Curve: The Growing Profession of Data Quality
• The Learning Curve: Data Quality Fundamentals
• The Learning Curve: Ensuring Data Quality in Data Integration
• More Web Seminars

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eLearning

• Data Quality Assessment
• Data Resource Quality: Turning Bad Habits into Good Practices
• Data Quality Fundamentals
• The Data Model Scorecard
• More eLearning

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Books

• Data Quality Assessment
• Data Mining VIII: Data, Text and Web Mining and their Business Applications
• Data Quality Assessment
• Introduction to Data Mining Using SAS Enterprise Miner
• The Complete Idiot's Guide to Lean Six Sigma
• More Books