BeyeNETWORK Belgium: Global coverage of the business intelligence ecosystem

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Title	Popularity *	Date
Taxonomies and Data Models Summary When dealing with unstructured data, taxonomies are used to organize and understand the textual, unstructured data. Topics: Information Management, Data Modeling and Design, Data Warehousing, Unstructured Data by Bill Inmon \| 0 comments		29-07-2010
Computed Attributes, Entity Resolution and Connectivity Hierarchies Summary David Loshin suggests that it is worth considering the potential of the types of computed or calculated data elements associated with data subject areas that are subjected to entity resolution. The end of the article poses an interesting question, and you’re encouraged to reply. Topics: Information Management, Master Data Management (MDM), Data Profiling, Data Management, Social Media by David Loshin \| 0 comments		29-07-2010
Data Warehousing: Kimball vs. Inmon (By Inmon) Summary In this article, Bill Inmon compares and contrasts the Inmon and Kimball approaches to data warehousing, highlighting the pros and cons of each approach. Topics: Data Warehousing by Bill Inmon \| 0 comments		22-07-2010
How to Measure Data Quality: Metrics and Scorecards Summary If you decide to build a data quality scorecard, ensure that improving scores coincides with integral improvement in performance. Topics: Information Quality (IQ) by Tom Breur \| 0 comments		21-07-2010
Looking for a New Business Intelligence Challenge? Summary Some interesting job opportunities... Topics: Business Intelligence by Joris Vivijs \| 0 comments		21-07-2010
No Perfect Answer Summary Should organizations always adopt new technology when it promises to positively affect the bottom line? Or, are there times when organizations should take the safe route? Topics: Data Warehousing, Business Intelligence by Bill Inmon \| 0 comments		15-07-2010
Dysfunctional Business Intelligence Teams Summary What are the underlying problems that frequently hamper the success of business intelligence teams and initiatives? If your team is not achieving results, it is worth your time to examine the pyramid of a dysfunctional team. Topics: Business Intelligence by Maureen Clarry \| 0 comments		06-07-2010
Taking Inventory of the Unstructured World Summary Creating an inventory of corporate documents is an activity that represents the first start in managing the unstructured environment. Topics: Data Warehousing, Unstructured Data by Bill Inmon \| 0 comments		01-07-2010
Data Governance and Data Architecture: Initial Thoughts Summary Because of the growing interest in enterprise-wide data reuse, there is a need for specific policies for data governance associated with different aspects of data architecture, with the intention of establishing a high level of maturity and capability. Topics: Governance, Information Management, Architecture, Metadata, Master Data Management (MDM) by David Loshin \| 0 comments		24-06-2010
What’s Not to Love About the Spreadsheet? Summary Because of all the pros of spreadsheets, it is safe to assume that they will not go away anytime soon. Thus, Bill Inmon shares ways to make them work within your organization. Topics: Data Warehousing by Bill Inmon \| 0 comments		24-06-2010
Data Quality: How to Detect Duplicate Records Summary Duplicate data entries are a problem. This article looks at the classification challenge of detecting duplicates. Topics: Information Quality (IQ) by Tom Breur \| 0 comments		16-06-2010
Looking for a New Business Intelligence Challenge? Summary Here are some job opporunities that might be interesting. Topics: Business Intelligence by Joris Vivijs \| 0 comments		15-06-2010
2010 Commencement Wisdom for Business Intelligence Professionals Summary Maureen Clarry provides “from the trenches” advice for business intelligence professionals – advice gleaned from her experiences and that of her business intelligence colleagues. Topics: Business Intelligence by Maureen Clarry \| 0 comments		08-06-2010
How Did Bad Data Get Into the System? Summary Bill Inmon describes common "bad data" problems and suggests that the solution for these problems is not simply correcting the data. To avoid recurring problems, the causes of bad data must be discovered. Topics: Information Quality (IQ), Data Warehousing, Data Integration by Bill Inmon \| 0 comments		03-06-2010
Advanced Analytics and Business Intelligence: Term Abuse? Summary To avoid confusion and explain how a technology can provide business benefit, is important to have a level of common understanding about the meaning of the terms used. Topics: Analytics, Business Intelligence, Data Mining and Statistical Analysis, Predictive Analytics, Decision Support Systems by Claudia Imhoff, Colin White \| 0 comments		18-05-2010

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