Business intelligence data mining
- March 22, 2010
In-database analytics technology is emerging as a new approach that can cut costs and improve the performance of analytical processes. Learn the basics of the technology.
- January 20, 2010
To maintain the level of personalized customer service it was known for, Spokane Teachers Credit Union built its own customer data analytics engine to help frontline workers.
- November 06, 2009
SAS is working on in-database analytics initiatives with several data warehouse vendors that want its data mining applications to run inside their databases.
- October 26, 2009
IBM broadened its portfolio of business analytics software, adding three packaged Cognos analytic applications and a tool for analyzing unstructured data.
- August 31, 2009
Transit authorities like the MBTA in Boston and SEPTA in Philadelphia have turned to data analytics software from SPSS to adapt to changes in ridership patterns.
- July 29, 2009
Google Analytics, Google's free Web analytics tool, has sufficient functionality to meet many companies' needs, according to a new report from Gartner.
- April 04, 2008
This article, the third in a series, examines random and predictable events in financial data mining efforts and reviews the author's experience with data mining in 30-year U.S. Treasury Bond futures.
- January 22, 2008
In healthcare organizations – as well as any other industry – analytical processes help you work smarter, not harder. Therefore, it is important to be sure your business intelligence capabilities fit your culture.
- December 18, 2007
Electronic health records (EHRs) have an immense potential as a rich source of analytical data for clinical, financial, operational and research purposes.
- December 18, 2007
Part 1 of this series discussed the construction of an information library, the importance of the problem definition phase and our ultimate dependence on the definition of output. This installment addresses a variety of data-related issues.
- November 06, 2007
This article is the first in a three-part series discussing issues of project design and project management that, appropriately addressed, improve the practitioner's performance potential.
- October 16, 2007
The real power from using business intelligence data as a feeder for run charts comes from measuring variables that are tracked by different sources.
- August 21, 2007
Much has been written and marketed about the compelling need to analyze unstructured data. Learn what retailers are REALLY doing with text mining to drive business benefits.
- June 13, 2007
Gartner's customer data mining Magic Quadrant author discusses top-ranked vendors, market trends and software buying tips -- including five questions to ask during evaluations.
- March 01, 2007
If bottom-up source data analysis is not performed, the data problems and business rule violations would not be discovered until the extract, transform and load (ETL) process.