We use cookies and other similar technologies (Cookies) to enhance your experience and to provide you with relevant content and ads. By using our website, you are agreeing to the use of Cookies. You can change your settings at any time. Cookie Policy.


November 2010 - Business Intelligence Content Archive

Popularity is determined by a calculation of page views and community comments.

Business Intelligence for the Masses [Published: 11-03-2010]
This article examines how "BI for the masses" connects to more specific market trends and reviews results published in The BI Survey 9. Based on over 3000 responses, these survey results provide interesting data on the state of the business intelligence market.

From Business Intelligence to Enterprise IT Architecture, Part 8 [Published: 11-03-2010]
This article, Part 8 of a continuing series, looks at the top layer of the Business Integrated Insight architecture. This layer, the Personal Action Domain, addresses the interaction of users within the process and information layers.

Reinventing Business: Enterprise Data Warehouse Business Opportunities for Manufacturing, Part 9 [Published: 11-04-2010]
This installment briefly describes the governance process and provides a recommended organizational structure for a manufacturing EDW.

Data Warehousing and Healthcare, Part 1 [Published: 11-04-2010]
This article, the first in a series, explores why data warehousing has not become an industry standard in healthcare as it has in other environments. login required

The 12 (or so) Myths about Agile Business Intelligence – Myth 3 [Published: 11-09-2010]
This article, Part 3 of a continuing series, explains that Agile BI is a delivery process that clearly supports sound business intelligence and data warehousing principles, whether delivering BI for insurance, utilities or finance.

Analyst Perspectives – A General Look at Business Intelligence for the Mid-Market [Published: 11-09-2010]
When SMBs look to business intelligence to achieve value, they are faced with a market that is constantly changing. Lyndsay Wise explains why this may be good news for them.

Data Warehousing and Healthcare, Part 2 [Published: 11-11-2010]
This article, Part 2 of a continuing series, focuses on unstructured data and the challenges that presents for constructing the data model around which a healthcare data warehouse would be built. login required

Can Business Intelligence Improve the Way We Vote? [Published: 11-15-2010]
This article looks at elections from a different analytical perspective: election systems. Not all elections are conducted the same way, and the results can vary tremendously depending on the approach and methodology. How elections are decided depends increasingly on science and technology, thus presenting an opportunity for business intelligence practitioners to contribute to improving the way we vote.

Dysfunctions of a Business Intelligence Team: Lack of Accountability [Published: 11-17-2010]
This article explores the lack of accountability dysfunction, which is frequently touted as a reason that business intelligence initiatives fail, and explains why peer pressure is more efficient than policies or systems.

Business Rules and Data Rules: What's the Difference? [Published: 11-18-2010]
This article looks at the difference between the business rules used for data quality validation and those rules used for data governance and for compliance with policies.

Data Warehousing and Healthcare, Part 3 [Published: 11-18-2010]
This article, Part 3 of a continuing series, looks at a variety of factors that have caused the healthcare industry to be slower than other industries in adopting data warehousing. login required

Self-Service Key to Creating Enterprise Business Intelligence HEROes [Published: 11-22-2010]
Organizations are increasingly turning to tools and technologies that allow them to reduce dependence on IT and enable business intelligence self-service by business users. This article presents a three-step approach to ensure that your business intelligence environment, platform, architecture, and applications can support broad self-service requirements.

5 Advanced Analytical Constructs for Optimizing Trade Promotion Fund Allocation in the CPG Industry [Published: 11-23-2010]
Advanced analytical constructs like optimization, regression, “what if” analysis, geospatial modeling and text mining can provide significant visibility into the effectiveness of trade promotion spends, which often is the second largest expense for CPG companies.

Performance Management: Myths vs. Reality, Part 2 [Published: 11-30-2010]
The performance management myth-busting continues with Part 2 of the series that debunks some of the most persistent myths encountered while working with the performance management community.