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Documents related to » data mining products


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.

DATA MINING PRODUCTS: 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

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.

DATA MINING PRODUCTS: Achieving a Successful Data Migration Achieving a Successful Data Migration Source: Informatica Document Type: White Paper Description: 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.
10/27/2006 4:30:00 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.

DATA MINING PRODUCTS: 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

Developing a Universal Approach to Cleansing Customer and Product Data
Developing a Universal Approach to Cleansing Customer and Product Data. Find Free Proposal and Other Solutions to Define Your Acquisition In Relation To Cleansing Customer and Product Data. Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

DATA MINING PRODUCTS: Cleansing Customer and Product Data Developing a Universal Approach to Cleansing Customer and Product Data Source: SAP Document Type: White Paper Description: Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy,
6/1/2009 5:10:00 PM

Data Center Automation
With the increasing complexity of the data center and its dependent systems, data center automation (DCA) is becoming a necessity. To replace the costly and inefficient human aspect of managing the data center, IT departments must adopt DCA solutions. Combined with utility-based computing architectures, these solutions can provide greater dynamics in the environment and facilitate speed of response to market demands.

DATA MINING PRODUCTS: Data Center Automation Data Center Automation Source: Quocirca Ltd Document Type: White Paper Description: With the increasing complexity of the data center and its dependent systems, data center automation (DCA) is becoming a necessity. To replace the costly and inefficient human aspect of managing the data center, IT departments must adopt DCA solutions. Combined with utility-based computing architectures, these solutions can provide greater dynamics in the environment and facilitate speed of response
10/30/2007 6:19:00 PM

Data Grouping and Drill-down
Understanding process variation is vital—not only in manufacturing industries, but in transactional environments as well. That’s why the tools you use to understand the root cause of common cause variations need to be both powerful and easy to use, whether you’re measuring variations in sales performance, wait times in hospital emergency rooms, or cycle times for order fulfillment.

DATA MINING PRODUCTS: Data Grouping and Drill-down Data Grouping and Drill-down Source: Hertzler Systems Document Type: White Paper Description: Understanding process variation is vital—not only in manufacturing industries, but in transactional environments as well. That’s why the tools you use to understand the root cause of common cause variations need to be both powerful and easy to use, whether you’re measuring variations in sales performance, wait times in hospital emergency rooms, or cycle times for order
4/25/2007 10:47:00 AM

Securing Data in the Cloud
When considering adopting cloud computing or software-as-a-service (SaaS), a question most potential customers ask vendors is “How secure will our data be in your hands?” Customers are right to ask this question and should closely examine any vendor’s security credentials as part of their cloud/SaaS evaluations. This document is intended to give a broad overview of one vendor’s security policies, processes, and practices.

DATA MINING PRODUCTS: Securing Data in the Cloud Securing Data in the Cloud Source: Symantec Document Type: White Paper Description: When considering adopting cloud computing or software-as-a-service (SaaS), a question most potential customers ask vendors is “How secure will our data be in your hands?” Customers are right to ask this question and should closely examine any vendor’s security credentials as part of their cloud/SaaS evaluations. This document is intended to give a broad overview of one vendor’s security
8/13/2010 11:34:00 AM

Protecting Critical Data
The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly.

DATA MINING PRODUCTS: Protecting Critical Data Protecting Critical Data Source: Stonefly Document Type: White Paper Description: The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly. Protecting Critical Data style= border-width:0px; />   comments powered by Disqus Related Topics:   Data Warehousing,   Database
10/19/2011 6:48:00 PM

Metagenix Reverse Engineers Data Into Information
Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries of the existing legacy systems (which are often incorrect). Other unique Metagenix approaches include an

DATA MINING PRODUCTS: Metagenix Reverse Engineers Data Into Information Metagenix Reverse Engineers Data Into Information M. Reed - February 15, 2001 Read Comments M. Reed - February 15, 2001 Event Summary Metagenix, Inc. has designed its flagship product, MetaRecon to, as they put it, Decipher Your Data Genome . The product reverse engineers all of the metadata ( data about data ) from data sources and generates information that is very helpful to developers in designing specifications for a new data store, and assists
2/15/2001

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.

DATA MINING PRODUCTS: IFS Applications (version 7.5) for ERP for the Mining Industry Certification Report IFS Applications (version 7.5) for ERP for the Mining Industry Certification Report Source: Technology Evaluation Centers Document Type: Certification Report Description: 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
1/9/2012 2:49:00 PM

Data Conversion in an ERP Environment
Converting data in any systems implementation is a high wire act. Converting data in an ERP environment should only be undertaken with a safety net, namely a well thought-out plan of execution. This article discusses the guidelines for converting data when considering manual or electronic alternatives.

DATA MINING PRODUCTS: Data Conversion in an ERP Environment Data Conversion in an ERP Environment Joseph J. Strub - October 21, 2002 Read Comments Introduction Converting data in any systems implementation is a high wire act. Converting data in an ERP environment should only be undertaken with a safety net, namely a well thought-out plan of execution. This article discusses the guidelines for converting data when considering manual or electronic alternatives. First, let me start out by saying that data conversion is not an art
10/21/2002


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