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Documents related to » center data management


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.

CENTER DATA MANAGEMENT: Quality , Data Quality Center , Data Quality Control , Data Quality Improvement , Data Quality Analysis , Data Quality Articles , Data Quality Assessment , Data Quality Indicator , Data Quality Indicators , Data Quality Business Intelligence , Data Quality Initiatives , Data Quality Issues , Data Quality Management , Data Quality Measurement , Data Quality Measures , Data Quality Methodology , Data Quality Methods , Data Quality Metrics , Data Quality Model , Data Quality Objectives , Data Quality Plan ,
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.

CENTER DATA MANAGEMENT: 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

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.

CENTER DATA MANAGEMENT: safety and quality analysis-service center records Product master data management-product catalogs Legal discovery—e-mails and instant messages Cleansing Customer and Product Data Every company struggles with the enormous amount of customer and product data that is represented in a variety of ways across disparate systems or departments. A product name such as LIGHT BULB-120 VOLT 100 WATT may be entered multiple times with different capitalization, spelling, abbreviations, and punctuation. Adding to
6/1/2009 5:10:00 PM

Four Critical Success Factors to Cleansing Data
Four Critical Success Factors to Cleansing Data. Find Guides, Case Studies, and Other Resources Linked to Four Critical Success Factors to Cleansing Data. Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

CENTER DATA MANAGEMENT: Four Critical Success Factors to Cleansing Data Four Critical Success Factors to Cleansing Data Source: PM ATLAS Business Group, LLC Document Type: White Paper Description: Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology. Four Critical Success Factors to
1/14/2006 9:29:00 AM

How to Do It Right: Setting Up an Offshore Development Center
Although IT outsourcing can result in cost savings of up to 60 percent, you’re not as likely to see that return if you don’t have an offshore development center (ODC). This team of programmers and developers, hand picked to complement your skill-set and culture, works on your behalf at the service provider’s site, and can be a seamless extension of your IT department. Learn more about the benefits of setting up an ODC.

CENTER DATA MANAGEMENT: Up an Offshore Development Center How to Do It Right: Setting Up an Offshore Development Center Source: Bleum Document Type: White Paper Description: Although IT outsourcing can result in cost savings of up to 60 percent, you’re not as likely to see that return if you don’t have an offshore development center (ODC). This team of programmers and developers, hand picked to complement your skill-set and culture, works on your behalf at the service provider’s site, and can be a seamless extension of
5/6/2008 4:33:00 AM

New Data Protection Strategies
One of the greatest challenges facing organizations is protecting corporate data. The issues that complicate data protection are compounded by increasing demand for data capacity, and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment, which impact infrastructure. IT organizations must meet these demands while maintaining flat budgets. Find out how.

CENTER DATA MANAGEMENT: New Data Protection Strategies New Data Protection Strategies Source: IBM Document Type: White Paper Description: One of the greatest challenges facing organizations is protecting corporate data. The issues that complicate data protection are compounded by increasing demand for data capacity, and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment, which impact infrastructure. IT organizations must meet these demands while maintaining
4/23/2010 5:47:00 PM

Best Practices for a Data Warehouse on Oracle Database 11g
Best Practices for a Data Warehouse on Oracle Database 11g. Find Out Software and Other Solutions for Your Decision Associated with Best Practices and Data Warehouse Management. 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.

CENTER DATA MANAGEMENT: , Data Warehousing Information Center , Data Integration Paper , Data Warehouse Software , Data Warehousing Analysis , Data Warehouse Community , Data Warehouse Automation , Perspectives on Data Warehousing , Data Warehousing OLAP , Resource Data Warehouse , Land and Resource Data Warehouse , Data Warehouse Web Site , Data Mining , Data Mart , Data Warehouse Architecture , Data Warehouse Concepts , Data Warehouse Tutorial , Data Warehouse Definition , OLAP , Business Intelligence , Huge Data Warehouse ,
4/20/2009 3:11:00 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.

CENTER DATA MANAGEMENT: 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

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.

CENTER DATA MANAGEMENT: was so slow, call center employees used to enter a new customer record when somebody called. That way they could at least enter a complaint or request in the system. The company got rid of the legacy applications, but not the legacy data. Months after the migration the organization was still struggling resulting in many unhappy customers. Case: A Retailer This retail company used old mainframe applications for ordering, invoicing, and inventory. Because it was getting extremely difficult to maintain
8/23/2002

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.

CENTER DATA MANAGEMENT: 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

EMC to Buy Data General
WALTHAM, Mass., August 9th, 1999 (Reuters) - High-end data storage leader EMC Corp. (NYSE:EMC) on Monday moved to grab a chunk of the mid-range storage business with a deal to buy Data General Corp. (NYSE:DGN) for $1.1 billion in stock, the companies said.

CENTER DATA MANAGEMENT: EMC to Buy Data General EMC to Buy Data General R. Krause - August 13, 1999 Read Comments EMC to Buy Data General WALTHAM, Mass., August 9th, 1999 (Reuters) High-end data storage leader EMC Corp. (NYSE:EMC) on Monday moved to grab a chunk of the mid-range storage business with a deal to buy Data General Corp. (NYSE:DGN) for $1.1 billion in stock, the companies said. EMC, which holds a 35 percent share of the $12 billion high-end storage market, said it will lend its considerable distribution and support
8/13/1999


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