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Software Functionality Revealed in Detail
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 mining system data


The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data

mining system data  Architecture of a Data Mining System In describing the architecture of a data mining system, we assume the presence of a data warehouse or data store containing organizational data. Although data mining can be applied to a wide range of data sources, it is beneficial to start with a data warehouse in which facts and dimensions have been identified and a data cleansing framework is in place in order to ensure good data quality. 1. The Knowledge Base The crust of a data mining system is an organization's

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

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Documents related to » mining system data

Best Practices for a Data Warehouse on Oracle Database 11g


Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW performs and scales well, you need to get three things right: the hardware configuration, the data model, and the data loading process. Learn how designing these three things correctly can help you scale your EDW without constantly tuning or tweaking the system.

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Distilling Data: The Importance of Data Quality in Business Intelligence


As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed.

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Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses


Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more.

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The Quadstone System


Quadstone sells three products components within the Quadstone System: Decisionhouse, Transactionhouse, and Actionhouse. Decisionhouse is the flagship product—it combines customer data discovery with automated predictive modeling. Transactionhouse is used to gather data from various sources (relational databases, operational data stores, log, and flat files) into the Quadstone System and perform the necessary data transformations in order to create a single customer view. Actionhouse is used to allow the reuse of the results of the analytical process (selections, rules, models, scores) within operational enviornments such as marketing automation packages, call center systems or ecommerce systems.  

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Matching the Correct Phone System to Your Business


Are you spending more time than you anticipated shopping for a new business phone system? This comprehensive listing reviews leading phone systems on the market for small-size businesses; medium-size businesses (includes both on-premises and hosted solutions); and enterprise-level businesses. This guide will help streamline your search for a new phone system, so you focus on those systems that are appropriate for your needs.

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The Evolution of a Real-time Data Warehouse


Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine if your organization needs this type of IT solution.

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Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization


Today’s business intelligence (BI) systems have to change, because they’re confronted with new technological developments and new business requirements, such as productivity improvement and systems as well as data in the cloud. This white paper describes a lean form of on-demand data integration technology called data virtualization, and shows you how deploying data virtualization results in BI systems with simpler and more agile architectures that can confront the new challenges much easier.

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Unified Data Management: A Collaboration of Data Disciplines and Business Strategies


In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts.

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A Roadmap to Data Migration Success


Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them.

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Five Tips for Saving Money on Your Business Phone System


With recession looming and profit margins under siege, the last thing any company needs is a capital-draining business phone system. Fortunately, today’s voice over Internet protocol (VoIP) providers offer plenty of cost-trimming features to keep business phone costs in check or dramatically lower communications overhead. Read here to know the five ways businesses are taking advantage of new VoIP technology to save money.

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