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Documents related to » approaches to data mining problem


Bad Customer Support Is Not a Software Problem » The TEC Blog
Bad Customer Support Is Not a Software Problem » The TEC Blog TEC Blog     TEC Home     About TEC     Contact Us     About the Bloggers     Follow TEC on Twitter    RSS   Discussing Enterprise Software and Selection --> Fast, Accurate Software Evaluations TEC helps enterprises evaluate and select software solutions that meet their exacting needs by empowering purchasers with the tools, research, and expertise to make an ideal decision. Your software selection starts here. Learn more

APPROACHES TO DATA MINING PROBLEM: CRM, customer service, customer support, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
29-02-2012

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. Consequently, data mining technology becomes important. Here is a framework to help understand the data mining process.

APPROACHES TO DATA MINING PROBLEM: The Truth about Data Mining The Truth about Data Mining Anna Mallikarjunan - June 19, 2009 Read Comments A business intelligence (BI) implementation can be considered two-tiered. The first tier comprises standard reporting, ad hoc reporting, multidimensional analysis, dashboards, scorecards, and alerts. The second tier is more commonly found in organizations that have successfully built a mature first tier. Advanced data analysis through predictive modeling and forecasting defines this tier—in other
6/19/2009

A Road Map to Data Migration Success
The key to a successful data migration: read a Road Map to Data Migration Success, a SAP white paper. Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project teams encounter some very specific management and technical challenges. Minimizing the risk of these tricky migrations requires effective planning and scoping. Read up on the issues unique to data migration projects, and find out how to best approach them.

APPROACHES TO DATA MINING PROBLEM: Scalable connectivity requirements and approaches (for example, how will you extract and load data to the source and target systems?)   Planning for Testing The test requirements for a data migration project are unique, as you may have multiple conversions during parallel and beta testing of an application. Adding to the complexity is the fact that the migration team is supporting the application test requirements of the larger project and also testing the conversion code itself. Your migration team
1/25/2010 11:36:00 AM

Data Mining: The Brains Behind eCRM
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.

APPROACHES TO DATA MINING PROBLEM: a science. However, automated approaches such as data mining provide businesses with better ways to plan and manage marketing campaigns. Companies with large customer databases should consider a data mining solution for campaign management and customer analysis that can leverage their data volumes to improve customer loyalty, qualify and understand their customers, and generate repeat business. Editor s Note: This article has been modified from its original form since the original publication date.
11/6/2000

The Why of Data Collection
Data collection systems work; however, they require a investment in technology. Before the investment can be justified, we need to understand why a data collection system may be preferable to people with clipboards.

APPROACHES TO DATA MINING PROBLEM: The Why of Data Collection The Why of Data Collection Olin Thompson - November 3, 2005 Read Comments Introduction Data collection systems work. However, they mean an investment in technology. Before we can justify that investment, we need to understand why we may want to use a data collection system in place of people with clipboards. What is data collection? In a general sense, it is the manual or automated acquisition of data. That definition has evolved to mean various automated methods of data
11/3/2005

Role of In-memory Analytics in Big Data Analysis
Organizations today need to handle and manage increasingly large volumes of data in various formats and coming from disparate sources. Though the benefits to be gained from analysis of such big data are immense, so are the inherent challenges, including need for rapid analysis. In his article, TEC BI analyst Jorge García discusses how in-memory analytics helps address these challenges and reap the benefits hidden in big data.

APPROACHES TO DATA MINING PROBLEM: Role of In-memory Analytics in Big Data Analysis Role of In-memory Analytics in Big Data Analysis Jorge García - March 16, 2012 Read Comments In a previous article , I discussed big data and the need for a big data solution to handle, manage, and derive valuable insight from large volumes of data in various formats and coming from disparate sources. Here I discuss the role that in-memory technologies plays in big data analysis and the potential of this technology to change the business intelligence (BI)
3/20/2012 10:25:00 AM

It’s the Time to Master Your Master Data » The TEC Blog
It’s the Time to Master Your Master Data » The TEC Blog TEC Blog     TEC Home     About TEC     Contact Us     About the Bloggers     Follow TEC on Twitter    RSS   Discussing Enterprise Software and Selection --> Fast, Accurate Software Evaluations TEC helps enterprises evaluate and select software solutions that meet their exacting needs by empowering purchasers with the tools, research, and expertise to make an ideal decision. Your software selection starts here. Learn more about

APPROACHES TO DATA MINING PROBLEM: CRM, customer data, ERP, master data, master data management, MDM, PIM, product data, product information management, SCM, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
21-10-2009

IFS Applications (version 8.0) for ERP for the Mining Industry Certification Report
IFS Applications (v. 8.0) product certification report. Assisted online evaluation of ERP solutions for the mining industry. IFS Applications (v. 8.0) is TEC Certified for online evaluation of enterprise resource planning (ERP) solutions for the mining industry 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-depth analyst commentary.

APPROACHES TO DATA MINING PROBLEM: IFS Applications (version 8.0) for ERP for the Mining Industry Certification Report IFS Applications (version 8.0) for ERP for the Mining Industry Certification Report Source: Technology Evaluation Centers Document Type: Certification Report Description: IFS Applications (v. 8.0) is TEC Certified for online evaluation of enterprise resource planning (ERP) solutions for the mining industry in the ERP Evaluation Center. The certification seal is a valuable indicator for organizations relying on the
8/7/2013 5:11:00 PM

Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence
Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data.

APPROACHES TO DATA MINING PROBLEM: summarizes the benefits and approaches to integrating data. Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence style= border-width:0px; />   comments powered by Disqus Related Topics:   Business Intelligence and Data Management,   Business Intelligence (BI),   Regulatory and Compliance Related Industries:   Industry Independent Related Keywords:   data integration,   data integration software,   data integration tools,   customer data integration,   data
3/22/2011 10:17:00 AM

Selecting ERP Software for the Mining Industry
Most ERP products have been designed from repetitive manufacturing, and thus lack the powerful asset management and project management functionality that mining companies require. But ERP is becoming a higher priority for these organizations. This white paper offers tips on selecting ERP software for the mining industry. Learn how you can you select ERP that can handle the entire mining project and asset lifecycle.

APPROACHES TO DATA MINING PROBLEM: Selecting ERP Software for the Mining Industry Selecting ERP Software for the Mining Industry Source: IFS Document Type: White Paper Description: Most ERP products have been designed from repetitive manufacturing, and thus lack the powerful asset management and project management functionality that mining companies require. But ERP is becoming a higher priority for these organizations. This white paper offers tips on selecting ERP software for the mining industry. Learn how you can you select ERP that can
9/7/2012 2:30:00 PM

Infor s Big Data Cloud in the Sky » The TEC Blog
Infor s Big Data Cloud in the Sky » The TEC Blog TEC Blog     TEC Home     About TEC     Contact Us     About the Bloggers     Follow TEC on Twitter    RSS   Discussing Enterprise Software and Selection --> Fast, Accurate Software Evaluations TEC helps enterprises evaluate and select software solutions that meet their exacting needs by empowering purchasers with the tools, research, and expertise to make an ideal decision. Your software selection starts here. Learn more about TEC s

APPROACHES TO DATA MINING PROBLEM: amazon redshift, bi, big data, Cloud, ERP, industry watch, infor, infor 10x, infor ion, infor mingle, infor sky vault, inforum 2013, sap hana, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
02-05-2013


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