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
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From The Daily Journal...
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Data Quality Pattern Analyser Now Available for SQLServerOne 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 andRealityArkady Maydanchik provides another great post exploring some of the common misconceptions surrounding data profiling.Necessity of Conceptual Data Modeling for InformationQualityDoes 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 QualityProfessionArkady 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 MikeMeierHow 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 SunMicrosystemsHow 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: ClavisTechnologyFirst 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 ArkadyMaydanchikArkady 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 bookdrawWe 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 patientrecordsA 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 qualitytoolkitIn 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 ProductCodesWe simulate a simple retail database to demonstrate how to use the free pattern analyser in a live context.Data Quality Pattern Analyser for Oracle: UpdateAvailableWe’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.Philip Howard has completed his final assessment of the data quality technology sector, covering Profiling, Discovery, Platforms and Cleansing. Data Quality for Data Warehousing - BestPractices Data Quality Pro Sponsorship Why not promote your brand, service or skills on Data Quality Pro through a sponsorship package?
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