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Title	Popularity *	Date
Data Warehousing and Data Quality: The Chicken or the Egg? Summary While the need for data quality has long been recognized in transaction processing systems, it wasn’t until there were data warehouses that the real state of data quality became known. Topics: Data Warehousing, Data Quality by Bill Inmon \| 0 comments		05-08-2010
Is the SDLC Relevant to Data-Centric Projects? Summary There has been a shift from a process-centric view in application development to a data-centric view. Because so much has changed since the SDLC originated, does it really apply to what is being done today? Topics: Information Management, Data Management by Malcolm Chisholm \| 0 comments		04-08-2010
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
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
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
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
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
Who is Building Systems Today? Summary According to Bill Inmon, as long as economic circumstances remain the same, it is doubtful there will ever be a return to corporate system development. Topics: Data Warehousing, Information Management by Bill Inmon \| 0 comments		17-06-2010
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
Why Venn Diagrams Don't Work for Data Summary Malcolm Chisholm explains why we need to find techniques that are oriented specifically to data rather than borrowed from other areas of human experience. Topics: Information Management, Master Data Management (MDM), Data Management by Malcolm Chisholm \| 0 comments		02-06-2010
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
Getting It Right Summary Bill Inmon shares observations about those who are successful with technology and those who are not. Topics: Data Warehousing, Business Intelligence by Bill Inmon \| 0 comments		13-05-2010
Three Types of Data Models Summary Bill Inmon discusses operational data models, data warehouse (or analytical) data models and global data models. Topics: Data Warehousing, Data Modeling and Design by Bill Inmon \| 0 comments		06-05-2010
Definitions in Information Management Summary Although there is a superficial appreciation of the importance of definitions, too few practical approaches have yet been created to use them effectively in data management. Topics: Information Management, Data Modeling and Design, Governance by Malcolm Chisholm \| 0 comments		05-05-2010
The Advantages of Data Warehouse Appliances Revisited Summary Rick van der Lans suggests that the extra advantage of a data warehouse appliance is that the business intelligence architecture can be simplified. He explains that a data warehouse appliance can also reduce complexity, improve flexibility and reduce costs. Topics: Data Warehousing, Appliances by Rick van der Lans \| 0 comments		04-05-2010

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