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Looking for content related to Megaputer Intelligence

Microsoft says OLE for Data Mining: Is it Bull?
by M. Reed
... include ANGOSS Software Corp., Appsource Corp., Comshare Inc., DB Miner Technology
Inc., Knosys Inc., Magnify Inc., Megaputer Intelligence Inc., Maximal ...
http:/.../Research/ResearchHighlights/DataWarehousing/2000/03/news_analysis/NA_DW_MFR_03_28_00_1.asp - 7k
Summary: 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




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1. Enterprise Resource Planning Vendor Gains Connectivity through Acquisition of Plant Intelligence Provider ( Pages)
by P.J. Jakovljevic
Feb 7, 2006
Abstract : SAP has gained connectivity to virtually any source on the plant floor and analytical functionality through its acquisition of Lighthammer's products for plant intelligence. SAP users in the process of evaluating plant intelligence solutions should seriously consider Lighthammer.
 
2. Sterling Software Sees the Light with Eureka:Intelligence ( Pages)
by M. Reed
Nov 17, 1999
Abstract : Sterling Software, Inc. (NYSE: SSW) announced general availability today of its new EUREKA:Intelligence product, a 100% Java, Web-Based Integrated, Query, Analysis and Reporting tool that allows users to easily query, manipulate and format data for personal or shared use. EUREKA:Intelligence is suited for large, distributed organizations that require general purpose analyses reporting requirements for a large portion of business users.
 
3. SCT Extends Into Business Intelligence ( Pages)
by P. Catz
Sep 4, 2001
Abstract : SCT, a leading supplier to the process industries, has extended their iProcess.SCT product set to include Business Intelligence (BI).
 
4. Five Steps to Business Intelligence Project Success ( Pages)
by Lyndsay Wise
Sep 3, 2007
Abstract : Many business intelligence (BI) projects fall short of expectations. Unless organizations implement a methodology and benchmark other organizations' successes, BI implementations may fail to provide desired results. This article identifies five steps that organizations should take when implementing BI solutions.
 
5. Innovations in Business Intelligence ( Pages)
by Anna Mallikarjunan
Aug 25, 2008
Abstract : Business intelligence (BI) is in the midst of a new wave of innovations. Ideas in the search space, software as a service, and real-time analytics are extending the reach of BI across the complete size spectrum of organizations. This article looks at these technologies and their impact on businesses.
 
6. Five Steps to Business Intelligence Project Success ( Pages)
by Lyndsay Wise
Aug 25, 2008
Abstract : Many business intelligence (BI) projects fall short of expectations. Unless organizations implement a methodology and benchmark the success other organizations have experienced, BI implementations may fail to provide the desired results. This article identifies five steps organizations should take when implementing BI solutions.
 
7. Marketing and Intelligence, Together at Last ( Pages)
by D. Geller
Aug 1, 2000
Abstract : Net Perceptions ties its own business intelligence package along with Angara’s technology for improving conversion rates into a tidy ASP package.
 
8. Integration and Consolidation of Business Intelligence within Business Performance Management ( Pages)
by Mukhles Zaman
Jul 18, 2005
Abstract : A growing measure of business performance is financial performance management. Leveraging business intelligence (BI) to map business performance goals requires integrating and consolidating information. Systems Union is embarking on a strategy to triumph in this market.
 
9. Access to Critical Business Intelligence: Challenging Data Warehouses? ( Pages)
by Olin Thompson & P.J. Jakovljevic
Jul 15, 2005
Abstract : There is a perception that if business users are given access to enterprise databases and raw query tools, they will create havoc in the system, which is a possibility—unless the business intelligence (BI) product developer understands the potential problem and addresses it as a business-critical factor.
 
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