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Displaying 285–300 (of 711)

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Title Popularity * Date
Spreadsheet as a Data Mart Summary
How does a spreadsheet stack up as a technical foundation for a data mart? Bill Inmon reviews the capabilities of a spreadsheet.

Topics: Data Warehousing, Data Marts
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by Bill Inmon | 0 comments
The Rise of Ontology: A Conversation with Felix Van de Maele Summary
Is ontology real or is it destined to disappear in few years? That is just one of the questions addressed in this conversation between Malcolm Chisholm and Felix Van de Maele.

Topics: Information Management, Semantic technologies

by Malcolm Chisholm | 0 comments
Rainy Days and Mondays Get Me Down Summary
Is there a reason that Mondays are less productive than other days of the week? Bill Inmon looks at one possible cause.

Topics: Information Management

by Bill Inmon | 0 comments
Who Doesn’t Need a Data Warehouse? Summary
Does every organization need a data warehouse? Bill Inmon answers that question and also looks at the affordability of data warehouses.

Topics: Data Warehousing, ETL, Appliances

by Bill Inmon | 0 comments
Who Is Your Customer? Summary
This article outlines the many benefits organizations receive when they truly "know" their customers.

Topics: Data Warehousing, CRM

by Bill Inmon | 0 comments
Text is Text is Text: Not Summary
Text is rapidly becoming recognized by corporations as a source of valuable information. However, capturing the right information from text is not an easy task.

Topics: Information Management, Data Warehousing, Unstructured Data, Text Analytics

by Bill Inmon | 0 comments
Data Use by Analytical Applications: Primary vs. Secondary – Who is #1? Summary
The use of data by downstream analytical applications impacts data management and data architecture. The challenge organizations face is identifying and making accommodations for the information needs of current and future analytical applications.

Topics: Information Management, Data Modeling and Design, Analytics, Data Governance, Data Management

by David Loshin | 0 comments
Segmentation + Scoring Model + Text Mining + Social Network Analysis = Force Multiplier! Summary
Using the telecom industry as an example, this article explores combining multiple techniques to deliver a complete predictive model.

Topics: Analytics, Data Modeling and Design, Text Analytics, Text Mining, Social Media

by Derick Jose | 0 comments
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
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by Bill Inmon | 0 comments
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
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
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
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
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by Bill Inmon | 0 comments
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
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by Bill Inmon | 0 comments
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

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