| 1. |
How the Mining Industry Benefits from ERP Systems ( Pages)
by Leslie Satenstein
Jul 14, 2008
Abstract : Integrated enterprise resource planning software normalizes the reporting requirements for a mining company’s various departments. This article loosely shows the parallels between the operations in a mining company and those of a manufacturer whose product is sold on store shelves.
|
| 2. |
Microsoft says OLE for Data Mining: Is it Bull? ( Pages)
by M. Reed
Mar 28, 2000
Abstract : Microsoft released a new version of OLE DB (Object Linking and Embedding Database, based on Microsoft’s Component Object Model or COM) which supports a proprietary data mining specification. It is purported to extend the Structured Query Language (SQL) to allow easier and faster incorporation of data mining queries into existing data warehouse solutions.
|
| 3. |
How the Mining Industry Benefits from ERP Systems ( Pages)
by Leslie Satenstein
Mar 26, 2008
Abstract : Integrated enterprise resource planning software normalizes the reporting requirements for a mining company’s various departments. This article loosely shows the parallels between the operations in a mining company and those of a manufacturer whose product is sold on store shelves.
|
| 4. |
How the Mining Industry Benefits from ERP Systems (0 Pages)
by Leslie Satenstein
Aug 12, 2009
Abstract : Integrated enterprise resource planning software normalizes the reporting requirements for a mining company’s various departments. This article loosely shows the parallels between the operations in a mining company and those of a manufacturer whose product is sold on store shelves.
|
| 5. |
The Truth about Data Mining (0 Pages)
by Anna Mallikarjunan
Jun 19, 2009
Abstract : It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data. Consequently, data mining technology becomes important. Here is a framework to help understand the data mining process.
|
| 6. |
Data Mining: The Brains Behind eCRM ( Pages)
by Steve McVey
Nov 6, 2000
Abstract : Data mining has emerged from obscure beginnings in artificial intelligence to become a viable and increasingly popular tool for putting data to work. Data mining is a set of techniques for automating the exploration of data and uncovering hidden truths.
|
| 7. |
Aspen - To Netfinity and Beyond ( Pages)
by Steve McVey
Jul 27, 2000
Abstract : Aspen Technology, Inc. recently announced plans to leverage IBM resources to provide solutions for supply chain management (SCM) customers in the chemicals, petroleum, plastics, paper, metals, pharmaceutical, and other process industries.
|
| 8. |
SCM Software for Mills ( Pages)
by Ashfaque Ahmed
Jul 17, 2004
Abstract : Demand for mill products especially in the metals and packaging industry is growing fast. This presents a good opportunity for the software vendors who cater to the needs of customers in these industries. But these industries have some unique requirements which are discussed throughout this article. Supply chain management software which does planning and execution for manufacturing, transportation, distribution etc. for mills industry, needs to address these unique requirements.
|
| 9. |
Business Performance Management Basics: An Overview of Business Performance Management and Its Benefits to the Organization ( Pages)
by Lyndsay Wise
Apr 12, 2006
Abstract : Business performance management (BPM) includes setting key performance indicators, using data mining to discover data patterns, and using software to help drive business decisions and develop corporate strategy. For an organization, there are many benefits to implementing a BPM solution.
|
CART 
