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Microsoft says OLE for Data Mining: Is it Bull?
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

application for data mining  our CRM solutions and application products. OLE DB for Data Mining has been under vendor review and modification since its introduction last May at Tech*Ed '99 and now incorporates the Predictive Model Markup Language (PMML) standards from the Data Mining Group, an industry consortium that facilitates the creation of useful standards for the data mining community. PMML is an XML-based language that provides a quick and easy way for organizations to define and share data mining models between compliant Read More...
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Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications pro...
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Documents related to » application for data mining


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

application for data mining  warehouse on a Real Application Cluster (RAC) it is just as important to size the cluster interconnect with the same care and caution you would use for the IO subsystem throughput. The rule of thumb for sizing the interconnect is it has to sustain 200MB/s per core. Why so much? The reason for this is simple; once data is read off of the disks for a given query it will reside in process memory on one of the nodes in the cluster, should another process on a different node require some or all of that data Read More...
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

application for data mining  significantly broad reach and application. It can be applied in any situation where it is necessary to discover potential knowledge from vast amounts of data. Throughout this article, the word knowledge is used to refer to meaningful patterns derived through techniques in data mining that can stimulate an organization's goals (such as company revenue, Web site traffic, increase in crop yield, and improved health care). The field of data mining brings together techniques from statistics; machine learning Read More...
Got BI? Now You Need to Hire a Data Geek. Here’s What to Look For.
According to a poll conducted by KDnuggets, salaries in the analytics and data mining space are up in 2011. While there is no direct proof that the data

application for data mining  a BI or BA application in place, or if you’re going to be implementing one in the near future, you might soon be needing a data geek. BI Is a Growing Industry The BI space is, by every measure, an evolving one, and yet to be adopted by many organizations. According to Gartner , the BI and analytics market is expected to grow to US$10.8 billion in 2011. What this means is that companies are becoming more data management–oriented. Information and its analysis are being increasingly valued as companies Read More...
Identifying the ROI of a Software Application for SCM Part 3: Performing the Data Analysis
By using software tools that help you forecast and work together with others inside your organization, and even with your customers, the forecasts may become

application for data mining  ROI of a Software Application for SCM Part 3: Performing the Data Analysis Identifying the ROI of a Software Application for SCM Executive Summary    The competitive environment for every industry grows increasingly intense. Fast, reasonably accurate information about the impact of a software investment decision grows more critical. Many decision-makers look for an exact forecast of return on investment (ROI) from the purchase of a supply chain management application. At least four very real challenges Read More...
Ramco Enterprise Process Manufacturing for ERP for Process Manufacturing Certification Report
Ramco Enterprise Process Manufacturing is TEC Certified for online evaluation enterprise resource planning (ERP) for process manufacturing solutions in the ERP

application for data mining  Enterprise Process Manufacturing for ERP for Process Manufacturing Certification Report Ramco Enterprise Process Manufacturing is TEC Certified for online evaluation enterprise resource planning (ERP) for process manufacturing solutions in the ERP Evaluation Center. The certification seal is a valuable indicator for organizations relying on the integrity of TEC research for assistance with their software selection projects. Download this report for product highlights, competitive analysis, and Read More...
Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ

application for data mining  data quality solution,enterprise information management,enterprise information management strategy,enterprise information management definition,enterprise information management framework,enterprise information management software,data quality maturity,data quality software,open source data quality software,data quality,data quality tools,customer data quality,data quality metrics,data quality management,data quality objectives Read More...
Master Data Management and Accurate Data Matching
Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are

application for data mining   Read More...
Data Management and Business Performance: Part 1-Data
Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a

application for data mining  functionality features for BI applications. For those of you who don’t know, the definition of a Pareto chart according to Whatis.com is “a vertical bar graph in which values are plotted in decreasing order of relative frequency from left to right. Pareto charts are extremely useful for analyzing what problems need attention first because the taller bars on the chart, which represent frequency, clearly illustrate which variables have the greatest cumulative effect on a given system.” From the chart Read More...
Microsoft Dynamics GP 10.0 for ERP for Process Manufacturing Certification Report
Microsoft Dynamics GP 10.0 is now TEC Certified for online evaluation of enterprise resource planning (ERP) for process manufacturing solutions in the ERP

application for data mining  Dynamics GP 10.0 for ERP for Process Manufacturing Certification Report Microsoft Dynamics GP 10.0 is now TEC Certified for online evaluation of enterprise resource planning (ERP) for process manufacturing solutions in the ERP Evaluation Center. The certification seal is a valuable indicator for organizations relying on the integrity of TEC research for assistance with their software selection projects. Download this report for product highlights, competitive analysis, product analysis, and in-dep Read More...
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,

application for data mining  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. Read More...
Data Masking: Strengthening Data Privacy and Security
Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating

application for data mining   Read More...
Financial Forecasting: Room for Improvement for People, Process and Technology
Preparing an accurate forecast in this volatile business climate is challenging. Still, it is critical for businesses to be able to predict outcomes for the

application for data mining  Forecasting: Room for Improvement for People, Process and Technology Preparing an accurate forecast in this volatile business climate is challenging. Still, it is critical for businesses to be able to predict outcomes for the next month, quarter or year, and be able to respond quickly when the actuals vary significantly from the forecast. Forecasting may be equal parts art and science, but the most dialed-in enterprises report using a solid, collaborative process for generating accurate forecasts. Read More...
Value Proposition for IBM Power Servers And i: Comparing Costs for EnterpriseOne Deployments
It is a challenging time for Oracle EnterpriseOne (E1) users. Organizations must contain IT costs and still meet business demands. In many cases, pressures to

application for data mining  Proposition for IBM Power Servers And i: Comparing Costs for EnterpriseOne Deployments It is a challenging time for Oracle EnterpriseOne (E1) users. Organizations must contain IT costs and still meet business demands. In many cases, pressures to improve performance and increase efficiency are magnified by today’s economic conditions. One solution is to employ—or continue to employ—the IBM Power server platform and i for core E1 systems. Learn how four different installations fared with this Read More...
Linked Enterprise Data: Data at the heart of the company
The data silos of today's business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet

application for data mining  business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, break down data walls, provide an open, secure, and long-term technological Read More...

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