Business Intelligence Best Practices -

Collaboration. Communication. Community.


General Interest




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.

HandsOn-Business Analytics™
This course starts by defining the promise of business intelligence and the gap that exists between what is promised and what is often implemented.

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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Dashboard Yea or Dashboard Nay?
by Stephen Swoyer
The dashboards of today differ fundamentally from the relatively static dashboards of yore. According to some proponents, in fact, today’s dashboard is the killer app that could finally take BI mainstream.

How Business Sponsors Learned to Stop Worrying and Love the Dashboard
by Stephen Swoyer
More than many other business intelligence (BI) and performance management (PM) projects, dashboards are frequently championed by executive or line-of-business sponsors.

The ROI of Data Quality
by Len Dubois
Enterprise-class data quality solutions incorporate a scalable, repeatable process for data quality management.

How Mature is Your Data Management Environment?
by Tony Fisher
At the initial stage of the Enterprise Data Management Maturity Model, confusion reigns. Complicating the problem is that most organizations are in denial about the quality and usefulness of corporate data.

A Business Approach to Data Quality: Achieving and Maintaining First-Class Organizational Data
The key to understanding any company’s operations is understanding the data. Consequently, the better quality the data is, the better the understanding.

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