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Documents related to » statistical analysis and data mining


Six Steps to Manage Data Quality with SQL Server Integration Services
Six Steps to Manage Data Quality with SQL Server Integration Services. Read IT Reports Associated with Data quality. Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

STATISTICAL ANALYSIS AND DATA MINING: Six Steps to Manage Data Quality with SQL Server Integration Services Six Steps to Manage Data Quality with SQL Server Integration Services Source: Melissa Data Document Type: White Paper Description: Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in
9/9/2009 2:32:00 PM

Scalable Data Quality: A Seven-step Plan for Any Size Organization
Scalable Data Quality: a Seven-step Plan for Any Size Organization. Read IT Reports In Relation To Data Quality. Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

STATISTICAL ANALYSIS AND DATA MINING: Scalable Data Quality: A Seven-step Plan for Any Size Organization Scalable Data Quality: A Seven-step Plan for Any Size Organization Source: Melissa Data Document Type: White Paper Description: Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor
9/9/2009 2:36:00 PM

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.

STATISTICAL ANALYSIS AND DATA MINING: families of products for statistical analysis and data mining. The PASW Modeler provides advanced analytical functions and visualization. It promises to integrate seamlessly with existing IT infrastructure, and uses multithreading, clustering, and embedded algorithms for high performance and scalability. In addition to a wide range of mining algorithms, SPSS offers Web mining and text analytics as add-on products. Angoss Software offers an on-demand customer analytics solution focused on addressing sales
6/19/2009

Achieving a Successful Data Migration
Achieving a Successful Data Migration. Solutions and Other Software to Delineate Your System and for Achieving a Successful Data Migration. The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

STATISTICAL ANALYSIS AND DATA MINING:
10/27/2006 4:30:00 PM

Beware of Legacy Data - It Can Be Lethal
Legacy data can be lethal to your expensive new application – two case studies and some practical recommendations.

STATISTICAL ANALYSIS AND DATA MINING: legacy data, legacy application, data warehouse, application legacy , sap, sap ag, Beware of Legacy Data , ERP system , SAP IS-U, legacy data definition.
8/23/2002

Siemens’ JT Data Format Gets a Nod from ISO » The TEC Blog


STATISTICAL ANALYSIS AND DATA MINING: 3d visualization, CAD, JT ISO standard, plm, Siemens JT, Siemens JT data format, Siemens PLM Software, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
29-01-2013

IFS Applications (version 7.5) for ERP for the Mining Industry Certification Report
IFS Applications (v. 7.5) product certification report. Assisted online evaluation of ERP solutions for the mining industry. IFS Applications (version 7.5) is now 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.

STATISTICAL ANALYSIS AND DATA MINING: erp for mining, mining erp, erp software, erp software comparison, erp software vendors, erp system software, cloud erp software, erp software systems, erp software list, erp software company, what is erp software, erp software solution, erp software application, erp accounting software, erp software packages, mining industry, erp software providers, business erp software, mining companies, enterprise resource planning erp software, erp software solutions, erp systems software, erp software system, best erp software, web based erp software, erp business software, erp mining, erp financial .
1/9/2012 2:49:00 PM

Infor s Big Data Cloud in the Sky » The TEC Blog


STATISTICAL ANALYSIS AND DATA MINING: 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

2012 Business Data Loss Survey results
This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download the full results now.

STATISTICAL ANALYSIS AND DATA MINING: data protection, data backup, 2012 data statistics, data loss, business data backup.
5/30/2012 5:47:00 AM

Six Misconceptions about Data Migration
A truly successful data migration project involves not only an understanding of how to migrate the data from a technical standpoint, but an understanding of how that data will be used and its importance to the operation of the enterprise.

STATISTICAL ANALYSIS AND DATA MINING: data migration, system implementation, enterprise resource planning, ERP, enterprise asset management, EAM, quality audit, information technology, IT, migration process, software coding, legacy system, Cobol, migration table, data definition, go-live date, total cost of ownership, project management.
6/23/2008

Captured by Data
The benefits case for enterprise asset management (EAM) has been used to justify huge sums in EAM investment. But to understand this reasoning, it is necessary to explore how asset data can be used to further the aims of maintenance.

STATISTICAL ANALYSIS AND DATA MINING: therefore the ability of statistical analysis to deliver results within a high level of confidence is questionable at best. This fundamental fact of managing physical assets highlights two flaws with the case of capturing data for designing maintenance programs. First, collecting failure information for future decisions means managing the asset base in a way that runs counter to basic aims of modern maintenance management. Second, even if a company was to progress down this path, the nature of critical
8/23/2006


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