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June 2004 - Business Intelligence Content Archive

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Capacity Planning for the Data Warehouse Environment [Published: 06-01-2004]
Capacity planning is essential for all data warehouse environments. Data warehouses grow at high rates and must be managed to keep budgets under control.

Assessing BI Readiness: The Key to BI ROI [Published: 06-01-2004]
BI readiness assessments are being used at the front end of business intelligence (BI) projects to determine the degree to which a given organization is prepared to make the changes that are necessary to fully capture the business value of BI.

The All in One Data Warehouse [Published: 06-10-2004]
The push to combine real-time on-line processing and OLAP or to combine exploration and data mining with data warehousing will cause problems with transaction guarantees and integrity of data.

Who is Going to Use the Data? [Published: 06-10-2004]
Bigger isn't always better! The value of data warehouses is determined by real usage not volume.

Data Mining – Seven Years Later, Lessons Learned [Published: 06-10-2004]
The 21st century approach to data mining and survival analysis

Making Sense of Analytic Applications [Published: 06-17-2004]
Now that you’ve warehoused the data – Who do you want to analyze it?

Who's Responsible for the Corporate Information Factory? [Published: 06-17-2004]
Rather than a war between the business units and the central technology department, let’s do it together!

Iterative Development [Published: 06-17-2004]
Some speakers continue to promulgate the “Big Bang” theory that a data warehouse must be built as a single project. Maybe they are simply misinformed or have their own agenda.

The Meta Data Model – Part 1 [Published: 06-24-2004]
This model contains four critical subject areas that should to be addressed by any meta data model.

Data Quality [Published: 06-24-2004]
An enterprise runs under the assumption that the data contained inside it is accurate and valid. If the data is not valid, then there is no accountability for the decisions based upon it.

The Meta Data Model – Part 2 [Published: 06-30-2004]
The on-going quality expectations of the meta data model are critical to the audit and control processes. This will become increasingly important as companies apply meta data in support of Sarbanes-Oxley and other regulations.

Nanowarehousing: Nanotechnology and Data Warehousing [Published: 06-30-2004]
Nanotechnology begins to defy the laws of separation. Structure and basic interaction rules are relegated to RDBMS engines, while the function of the information contained is relegated to ETL, Business Intelligence, Analytics, Data Mining, and OLTP.

The Nanotechnology Revolution [Published: 06-30-2004]
The Nanotechnology Revolution has arrived! business intelligence and data warehousing need to prepare for the “atomic” age.