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July 2010 - Business Intelligence Content Archive

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Using Composite Information Server to Develop a Data Delivery Platform [Published: 07-01-2010]
The data delivery platform (DDP) is an architecture for developing business intelligence systems. Data consumers, such as reporting and analytical tools, are decoupled from data stores. This article looks at developing a DDP with a federation server.

Taking Inventory of the Unstructured World [Published: 07-01-2010]
Creating an inventory of corporate documents is an activity that represents the first start in managing the unstructured environment.

Dysfunctional Business Intelligence Teams [Published: 07-06-2010]
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.

From Business Intelligence to Enterprise IT Architecture, Part 4 [Published: 07-07-2010]
This article, Part 4 of a continuing series, describes a modern approach to the business need for meaningful convergence of hard and soft information, which historically has been a challenge for data warehousing.

BPM Pulse 2010 Results and Analysis, Part 4 [Published: 07-14-2010]
Craig Schiff concludes his four-part series by describing the BPM Pulse survey respondents' technology priorities and expected performance management investment.

BeyePERSPECTIVE on the Intersection of Social Media and BI [Published: 07-15-2010]
The July panel discussion focused on social media and its impact on the BI ecosystem, social networking analysis and self-service BI.

No Perfect Answer [Published: 07-15-2010]
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? login required

Reinventing Business: Enterprise Data Warehouse Business Opportunities for Manufacturing, Part 5 [Published: 07-15-2010]
This article, Part 5 of a continuing series, covers enterprise data warehouse-enabled business improvement opportunities for the supply chain.

Limiting Business Intelligence Project Failures: Some Practical Hints, Part 1 [Published: 07-20-2010]
This article, Part 1 of a two-part series, offers helpful tips for developing successful business intelligence projects. login required

IT Jobs Are Growing: Where is Business Intelligence? [Published: 07-20-2010]
As business intelligence practitioners look to the job market as a factor in economic or social analysis, it is important to have a sense of how the IT professions themselves are performing in these times.

What Can the Real-Time Web Economy Do for Your Business? [Published: 07-21-2010]
To make better business decisions, organizations are finding increased need for relevant, real-time data from public websites, such as BBC.com, or social networking sites such as Twitter, LinkedIn or Facebook, as well as from private, firewall-protected websites and Web applications.

Data Quality is a Business Issue: Getting Back to Basics, Part 2 [Published: 07-22-2010]
This conclusion of a two-part series looks at the types of data quality issues that occur in various areas of an enterprise and describes how business leadership can play a key role in correcting and stopping the problems at their source.

Data Warehousing: Kimball vs. Inmon (By Inmon) [Published: 07-22-2010]
In this article, Bill Inmon compares and contrasts the Inmon and Kimball approaches to data warehousing, highlighting the pros and cons of each approach. login required

Computed Attributes, Entity Resolution and Connectivity Hierarchies [Published: 07-29-2010]
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.

Taxonomies and Data Models [Published: 07-29-2010]
When dealing with unstructured data, taxonomies are used to organize and understand the textual, unstructured data.