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The Data Governance ImperativeThe Data Governance Imperative

Steve Sarsfield

Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information (TM)Executing Data Quality Projects

Danette McGilvray

 

Data Driven

Tom Redman

 

Data Quality Assessment Data Quality Assessment

Arkady Maydanchik

 

 

The Data Quality Pro Herald: Edition #6


Welcome to the sixth edition of the Data Quality Pro Herald, the online magazine for Data Quality Pro members.

This month we have some in-depth data governance and MDM interviews, fresh video tutorials, a new technology interview feature, an update to our no-cost data quality software library and much, much more.

Hope you enjoy the issue.
Dylan Jones
- Editor


UK Members - Do you want to come along to a future Data Quality Pro UK Event, learn new skills and meet your fellow members?

We're carrying out a short survey to find out what type of event our members are looking for in the UK. If you can spare 2 minutes to complete the following survey we would be extremely grateful:
http://www.dataqualitypro.com/uk-events


NEW: Website Design Improvements


We've added some site changes to the design of Data Quality Pro - what do you think? Do you have any further suggestions for how we can improve the usability of that site? Please reply to editor@dataqualitypro.com with your ideas.

From The Daily Journal...

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Data Quality Pattern Analyser Now Available for SQLServer

One of our members has kindly updated our no-cost range of pattern analysers, now compatible with SQL Server.

Tip: Read on to find details of a tutorial explaining how to use these tools on business data.

Data Profiling: Myth andReality

Arkady Maydanchik provides another great post exploring some of the common misconceptions surrounding data profiling.

Necessity of Conceptual Data Modeling for InformationQuality

Does your business maintain an accurate conceptual model? Confused as to what this actually means? Pete Stiglich takes us on a tour of conceptual data models and explains why they are critical to ensuring good quality information.

Rethinking Data Quality: The Need for a Data QualityProfession

Arkady Maydanchik and Dave Wells argue that the fact data quality is still so poor in most organisations is due to a lack of a structured data quality profession.

Introduction to Guerilla Data Governance: An interview with MikeMeier

How do you launch a governance initiative without budget, resources and buy-in? Mike shares some of his techniques and experiences.

Identifying Duplicate Customer Records: An MDM Case Study With Dalton Cervo of SunMicrosystems

How would your organisation manage the consolidation of 800+ customer management systems? In this interview we speak with Dalton Cervo of Sun Microsystems and the challenges of resolving data quality issues on a massive scale.

Data Quality Technology Interview: ClavisTechnology

First in a new series exploring innovations in the data quality technology sector. This week we talk with Garry Moroney, CEO of Dublin based Clavis.

Data Quality Rules: General Attribute Dependencies by ArkadyMaydanchik

Arkady delivers the last in an excellent series of in-depth data quality assessment features taken straight from his book – Data Quality Assessment.

"The Data Governance Imperative": Steve Sarsfield interview and prize bookdraw

We caught up with Steve Sarsfield, prolific blogger, data quality evangelist and now an accomplished author on the subject of data governance.

Business Systems Modelling: Function Modelling (Tutorial1)

Modelling how your business should function is critical to data quality, expert modeller John Owens provides practical techniques in this first tutorial in an ongoing series.

NHS unique ID failure leads to duplicate newborn patientrecords

A personal account of how the NHS unique patient identification system duplicated my newborn son’s records with a child of the same surname - living 90 miles away.

How to transform your ETL tool into a data qualitytoolkit

In this post we examined a popular data quality assessment framework and explored the suitability of an ETL tool for many of the standard DQ tasks.

DEBATE: How should data governance and data quality worktogether?

One of our most popular debates, many people have added their views – what is your opinion?

Using Pattern Analysis to Detect and Prevent Defective ProductCodes

We simulate a simple retail database to demonstrate how to use the free pattern analyser in a live context.

Data Quality Pattern Analyser for Oracle: UpdateAvailable

We’ve made a slight update to our existing pattern analyser (a no-cost tool), this time to the Oracle option.

Tip: For tutorials see Data Profiling for Beginners and the tutorial above.

Bloor Research Market Update

Philip Howard has completed his final assessment of the data quality technology sector, covering Profiling, Discovery, Platforms and Cleansing.


From the Forums

Data Quality for Data Warehousing - BestPractices
Looking for formulas to calculate the costs of having poor data quality withinasystem
Are there any commercial strength reasonably priced de-duplicationapplications?
Data Qualityproject(academic)
Should I develop a career in dataquality?Data quality ine-commerce
UK postal addresscleansing
Meta data dictionary bestpractice?
Next generation data quality technology - what's on yourwishlist?
What is acustomer?
Data Quality is not an IT issue

Data Quality Pro Sponsorship

Why not promote your brand, service or skills on Data Quality Pro through a sponsorship package?

Please drop us a line and we'll send you the details.


Next Month...


Lots more tutorials on the new video channel, loads of great interviews with organisations and data quality experts and there are some really exciting community features about to come online to help promote the skills of our members.

I hope you continue to find Data Quality Pro of value to your career or business and if I can help you get the most out of the resource - please just drop me a line or give me a call on the number below.

Best wishes,
Dylan Jones