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The Ultimate Database for .NET
Matisse Software Inc.
© 2003 MATISSE SOFTWARE INC., ALL RIGHTS RESERVED. Matisse is a registered trademark of Matisse software Inc. Other product or company names mentioned herein may be the trademarks of their respective owners. Microsoft .NET is the platform of choice for implementing scalable and reliable enterprise applications from reusable components. But Visual Studio .NET developers building enterprise-class ...
 
Spatial ETL: Making Data Accessible
Safe Software Inc
Spatial data is all around us. Businesses are looking to their spatial information now more than ever for assistance in analyzing situations and making decisions. But before spatial data's full value can be realized, it must be accessible to the people who need it. The ability to freely share and use spatial data is too often plagued with interoperability challenges. Proprietary, evolving ...
 
A New Technology for Data Mining
Data Mining Technologies
Data Mining offers great potential in business and science because it can find valuable information that other methods can’t. This paper will provide an overview of data mining techniques and provide you with examples of how you can use it to achieve significant business goals or enhance your research effort. This paper will describe how Nuggets®, the next step in data mining, gives you more ...
 
Planning for Successful M&A Data Integration: The Critical Role of Customer Data Quality
Innovative Systems, Inc.
Mergers and acquisitions offer organizations a variety of potential benets. They may be undertaken for such purposes as geographic expansion or broadening of the organization's product portfolio.In many cases,however, one of the primary objectives is to enhance ROI by increasing revenue potential. M&As can be an effective way to improve sales and marketing efciency by expanding the organization's ...
 
Customer Data Integration: In Weeks, Not Years
Innovative Systems, Inc.
Organizations are increasingly recognizing the benets of consolidating enterprise customer information and supplementing customer records with external data. The data integrations required for these initiatives can be extremely tedious and expensive. The typical methodology involves months of “tuning” the software, and the manual review and correction of tens of thousands of name and address ...
 

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