Business Intelligence Best Practices -

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Enterprise Data Warehousing




Leading and Organizing Data Warehousing Teams: Improving Individual and Team Performance
Data warehousing projects struggle with a variety of issues that chronically inhibit success. Some of these issues are technical—many are not.

Real-Time Data Warehousing
Active data warehousing is rapidly changing the landscape for deployment of decision-support capability. Challenges of supporting extreme service levels in the areas of performance, availability, and data freshness demand new methods for DW construction.

Beyond the Data Warehouse: Architectural Options for Data Integration
Data warehousing used to be IT's weapon of choice for corralling the "islands of data" and bringing order to the decentralized information chaos. Shifting business priorities, outsourcing’s popularity, and new technologies have changed that...

Agile Project Management for Data Warehouse Projects
This course examines self-organizing project teams, spiral methodologies, and "extreme scoping" (a development method based on software releases).

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The New Debate: EDW or PDW
by Larissa Moss
Is an organization better off pursuing enterprise data warehousing or personal data warehousing? That seems to be the new debate in the industry—and for good reason.

2007 Best Practices Award Winner: Ingenix
The consolidation of various data silos has saved the company several million dollars, and has produced ongoing cost savings, eliminated redundancies, and dramatically increased the efficiency of integrating new data sources.

Compliance as a Trojan Horse: Funding Your Enterprise Data Warehouse
by Stephen Brobst
Current IT spending in support of regulatory and compliance projects is significant, and it is expected to increase in coming years.

One Version of the Truth
Meta Data Management and Other Considerations for Enterprisewide Business Intelligence Implementations
This article identifies the considerations in managing the multiple data mart structures that span across the enterprise.

Four Ways to Build a Data Warehouse
by Wayne Eckerson
It has been said there are as many ways to build data warehouses as there are companies to build them.

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